Coordinate measurement machine with distance meter and camera to determine dimensions within camera images

Information

  • Patent Grant
  • 9163922
  • Patent Number
    9,163,922
  • Date Filed
    Thursday, November 20, 2014
    9 years ago
  • Date Issued
    Tuesday, October 20, 2015
    8 years ago
Abstract
An articulated arm coordinate measurement machine (AACMM) that includes a noncontact 3D measurement device, position transducers, a camera, and a processor operable to project a spot of light to an object point, to measure first 3D coordinates of the object point based on readings of the noncontact 3D measurement device and the position transducers, to capture the spot of light with the camera in a camera image, and to attribute the first 3D coordinates to the spot of light in the camera image.
Description
BACKGROUND

The present disclosure relates to a coordinate measuring machine, and more particularly to a portable articulated arm coordinate measuring machine having a probe end to which a camera and a distance meter are attached and in which distances between points within images captured by the camera may be determined.


Portable articulated arm coordinate measuring machines (AACMMs) have found widespread use in the manufacturing or production of parts where there is a need to rapidly and accurately verify the dimensions of the part during various stages of the manufacturing or production (e.g., machining) of the part. Portable AACMMs represent a vast improvement over known stationary or fixed, cost-intensive and relatively difficult to use measurement installations, particularly in the amount of time it takes to perform dimensional measurements of relatively complex parts. Typically, a user of a portable AACMM simply guides a probe along the surface of the part or object to be measured. The measurement data are then recorded and provided to the user. In some cases, the data are provided to the user in visual form, for example, three-dimensional (3-D) form on a computer screen. In other cases, the data are provided to the user in numeric form, for example when measuring the diameter of a hole, the text “Diameter=1.0034” is displayed on a computer screen.


An example of a prior art portable articulated arm CMM is disclosed in commonly assigned U.S. Pat. No. 5,402,582 ('582), which is incorporated herein by reference in its entirety. The '582 patent discloses a 3-D measuring system comprised of a manually-operated articulated arm CMM having a support base on one end and a measurement probe at the other end. Commonly assigned U.S. Pat. No. 5,611,147 ('147), which is incorporated herein by reference in its entirety, discloses a similar articulated arm CMM. In the '147 patent, the articulated arm CMM includes a number of features including an additional rotational axis at the probe end, thereby providing for an arm with either a two-two-two or a two-two-three axis configuration (the latter case being a seven axis arm).


Three-dimensional surfaces may be measured using non-contact techniques as well. One type of non-contact device, sometimes referred to as a laser line probe, emits a laser light either on a spot, or along a line. An imaging device, such as a charge-coupled device (CCD) for example, is positioned adjacent the laser to capture an image of the reflected light from the surface. The surface of the object being measured causes a diffuse reflection. The image on the sensor will change as the distance between the sensor and the surface changes. By knowing the relationship between the imaging sensor and the laser and the position of the laser image on the sensor, triangulation methods may be used to measure points on the surface.


While existing CMMs are suitable for their intended purposes, what is needed is a portable AACMM that has certain features of embodiments of the present invention.


SUMMARY OF THE INVENTION

In accordance with one embodiment of the invention, a three-dimensional (3D) measuring device includes an articulated arm coordinate measurement machine (AACMM), the AACMM including a base and a manually positionable arm portion having opposed first and second ends, the arm portion including a plurality of connected arm segments, each arm segment including at least one position transducer for producing a position signal, the first end attached to the base, a camera coupled to the second end, a non-contact 3D measurement device coupled to the second end, the noncontact 3D measurement device having a light source, the noncontact 3D measurement device configured to determine a distance to an object point based at least in part on the speed of light in air, and an electronic circuit which receives the position signal from the at least one position transducer and provides data corresponding to a position of the camera and the non-contact 3D measurement device; a processor system including at least one of an AACMM processor, an external computer, and a cloud computer configured for remote access, wherein the processor system is responsive to executable instructions which when executed by the processor system is operable to: cause the light source to send a first beam of light to a first object point; cause the noncontact 3D measurement device to receive a first reflected light and determine a first distance to the first object point in response, the first reflected light being a portion of the first beam of light reflected by the first object point; determine an angle of the first beam of light relative to the AACMM based at least in part on first position signals from the transducers; determine first 3D coordinates of the first object point based at least in part on the first distance and a first angle of the first beam of light relative to the AACMM; cause the camera to obtain a first 2D image of a first surface, the first 2D image having a first spot of light caused by the first beam of light intersecting the first surface at the first object point; and associate the first 3D coordinates to the first spot of light.





BRIEF DESCRIPTION OF THE DRAWINGS

Referring now to the drawings, exemplary embodiments are shown which should not be construed to be limiting regarding the entire scope of the disclosure, and wherein the elements are numbered alike in several FIGURES:



FIG. 1, including FIGS. 1A and 1B, are perspective views of a portable articulated arm coordinate measuring machine (AACMM) having embodiments of various aspects of the present invention therewithin;



FIG. 2, including FIGS. 2A-2D taken together, is a block diagram of electronics utilized as part of the AACMM of FIG. 1 in accordance with an embodiment;



FIG. 3, including FIGS. 3A and 3B taken together, is a block diagram describing detailed features of the electronic data processing system of FIG. 2 in accordance with an embodiment;



FIG. 4 is an isometric view of the probe end of the AACMM of FIG. 1 according to an embodiment;



FIG. 5 is a side view of the probe end of FIG. 4 with the handle being coupled thereto, according to embodiment;



FIG. 6 is a side view of the probe end of FIG. 4 with the handle attached, according to an embodiment;



FIG. 7 is an enlarged partial side view of the interface portion of the probe end of FIG. 6 according to an embodiment;



FIG. 8 is another enlarged partial side view of the interface portion of the probe end of FIG. 5 according to an embodiment;



FIG. 9 is an isometric view partially in section of the handle of FIG. 4 according to an embodiment;



FIG. 10 is an isometric view of the probe end of the AACMM of FIG. 1 with a noncontact distance measurement device attached, according to an embodiment;



FIG. 11 is a schematic view of an embodiment wherein the device of FIG. 10 is an interferometer system according to an embodiment;



FIG. 12 is a schematic view of an embodiment wherein the device of FIG. 10 is an absolute distance meter system according to an embodiment;



FIG. 13 is a schematic view of an embodiment wherein the device of FIG. 10 is a focusing type distance meter according to an embodiment;



FIG. 14 is a schematic view of an embodiment wherein the device of FIG. 10 is a contrast focusing type of distance meter according to embodiment; and



FIG. 15 is a block diagram of a processor system according to an embodiment.





DETAILED DESCRIPTION

Portable articulated arm coordinate measuring machines (“AACMM”) are used in a variety of applications to obtain measurements of objects. Embodiments of the present invention provide advantages in allowing an operator to easily and quickly couple accessory devices to a probe end of the AACMM that use structured light to provide for the non-contact measurement of a three-dimensional object. Embodiments of the present invention provide further advantages in providing for communicating data representing a distance to an object measured by the accessory. Embodiments of the present invention provide still further advantages in providing power and data communications to a removable accessory without having external connections or wiring.



FIGS. 1A and 1B illustrate, in perspective, an AACMM 100 according to various embodiments of the present invention, an articulated arm being one type of coordinate measuring machine. As shown in FIGS. 1A and 1B, the exemplary AACMM 100 may comprise a six or seven axis articulated measurement device having a probe end 401 (FIG. 4) that includes a measurement probe housing 102 coupled to an arm portion 104 of the AACMM 100 at one end. The arm portion 104 comprises a first arm segment 106 coupled to a second arm segment 108 by a first grouping of bearing cartridges 110 (e.g., two bearing cartridges). A second grouping of bearing cartridges 112 (e.g., two bearing cartridges) couples the second arm segment 108 to the measurement probe housing 102. A third grouping of bearing cartridges 114 (e.g., three bearing cartridges) couples the first arm segment 106 to a base 116 located at the other end of the arm portion 104 of the AACMM 100. Each grouping of bearing cartridges 110, 112, 114 provides for multiple axes of articulated movement. Also, the probe end 401 may include a measurement probe housing 102 that comprises the shaft of an axis of rotation for the AACMM 100 (e.g., a cartridge containing an encoder system that determines movement of the measurement device, for example a probe 118, in an axis of rotation for the AACMM 100). In this embodiment, the probe end 401 may rotate about an axis extending through the center of measurement probe housing 102. In use of the AACMM 100, the base 116 is typically affixed to a work surface.


Each bearing cartridge within each bearing cartridge grouping 110, 112, 114 typically contains an encoder system (e.g., an optical angular encoder system). The encoder system (i.e., transducer) provides an indication of the position of the respective arm segments 106, 108 and corresponding bearing cartridge groupings 110, 112, 114 that all together provide an indication of the position of the probe 118 with respect to the base 116 (and, thus, the position of the object being measured by the AACMM 100 in a certain frame of reference—for example a local or global frame of reference). The arm segments 106, 108 may be made from a suitably rigid material such as but not limited to a carbon composite material for example. A portable AACMM 100 with six or seven axes of articulated movement (i.e., degrees of freedom) provides advantages in allowing the operator to position the probe 118 in a desired location within a 360° area about the base 116 while providing an arm portion 104 that may be easily handled by the operator. However, it should be appreciated that the illustration of an arm portion 104 having two arm segments 106, 108 is for exemplary purposes, and the claimed invention should not be so limited. An AACMM 100 may have any number of arm segments coupled together by bearing cartridges (and, thus, more or less than six or seven axes of articulated movement or degrees of freedom).


The probe 118 is detachably mounted to the measurement probe housing 102, which is connected to bearing cartridge grouping 112. A handle 126 is removable with respect to the measurement probe housing 102 by way of, for example, a quick-connect interface. As will be discussed in more detail below, the handle 126 may be replaced with another device configured to provide non-contact distance measurement of an object, thereby providing advantages in allowing the operator to make both contact and non-contact measurements with the same AACMM 100. In exemplary embodiments, the probe 118 is a contacting measurement device and is removable. The probe 118 may have different tips 118 that physically contact the object to be measured, including, but not limited to: ball, touch-sensitive, curved and extension type probes. In other embodiments, the measurement is performed, for example, by a non-contacting device such as an interferometer or an absolute distance measurement (ADM) device. In an embodiment, the handle 126 is replaced with the coded structured light scanner device using the quick-connect interface. Other types of measurement devices may replace the removable handle 126 to provide additional functionality. Examples of such measurement devices include, but are not limited to, one or more illumination lights, a temperature sensor, a thermal scanner, a bar code scanner, a projector, a paint sprayer, a camera, or the like, for example.


As shown in FIGS. 1A and 1B, the AACMM 100 includes the removable handle 126 that provides advantages in allowing accessories or functionality to be changed without removing the measurement probe housing 102 from the bearing cartridge grouping 112. As discussed in more detail below with respect to FIG. 2, the removable handle 126 may also include an electrical connector that allows electrical power and data to be exchanged with the handle 126 and the corresponding electronics located in the probe end 401.


In various embodiments, each grouping of bearing cartridges 110, 112, 114 allow the arm portion 104 of the AACMM 100 to move about multiple axes of rotation. As mentioned, each bearing cartridge grouping 110, 112, 114 includes corresponding encoder systems, such as optical angular encoders for example, that are each arranged coaxially with the corresponding axis of rotation of, e.g., the arm segments 106, 108. The optical encoder system detects rotational (swivel) or transverse (hinge) movement of, e.g., each one of the arm segments 106, 108 about the corresponding axis and transmits a signal to an electronic data processing system within the AACMM 100 as described in more detail herein below. Each individual raw encoder count is sent separately to the electronic data processing system as a signal where it is further processed into measurement data. No position calculator separate from the AACMM 100 itself (e.g., a serial box) is required, as disclosed in commonly assigned U.S. Pat. No. 5,402,582 ('582).


The base 116 may include an attachment device or mounting device 120. The mounting device 120 allows the AACMM 100 to be removably mounted to a desired location, such as an inspection table, a machining center, a wall or the floor for example. In one embodiment, the base 116 includes a handle portion 122 that provides a convenient location for the operator to hold the base 116 as the AACMM 100 is being moved. In one embodiment, the base 116 further includes a movable cover portion 124 that folds down to reveal a user interface, such as a display screen.


In accordance with an embodiment, the base 116 of the portable AACMM 100 contains or houses an electronic circuit having an electronic data processing system that includes two primary components: a base processing system that processes the data from the various encoder systems within the AACMM 100 as well as data representing other arm parameters to support three-dimensional (3-D) positional calculations; and a user interface processing system that includes an on-board operating system, a touch screen display, and resident application software that allows for relatively complete metrology functions to be implemented within the AACMM 100 without the need for connection to an external computer.


The electronic data processing system in the base 116 may communicate with the encoder systems, sensors, and other peripheral hardware located away from the base 116 (e.g., a noncontact distance measurement device that can be mounted to the removable handle 126 on the AACMM 100). The electronics that support these peripheral hardware devices or features may be located in each of the bearing cartridge groupings 110, 112, 114 located within the portable AACMM 100.



FIG. 2 is a block diagram of electronics utilized in an AACMM 100 in accordance with an embodiment. The embodiment shown in FIG. 2A includes an electronic data processing system 210 including a base processor board 204 for implementing the base processing system, a user interface board 202, a base power board 206 for providing power, a Bluetooth module 232, and a base tilt board 208. The user interface board 202 includes a computer processor for executing application software to perform user interface, display, and other functions described herein.


As shown in FIG. 2A, the electronic data processing system 210 is in communication with the aforementioned plurality of encoder systems via one or more arm buses 218. In the embodiment depicted in FIG. 2B and FIG. 2C, each encoder system generates encoder data and includes: an encoder arm bus interface 214, an encoder digital signal processor (DSP) 216, an encoder read head interface 234, and a temperature sensor 212. Other devices, such as strain sensors, may be attached to the arm bus 218.


Also shown in FIG. 2D are probe end electronics 230 that are in communication with the arm bus 218. The probe end electronics 230 include a probe end DSP 228, a temperature sensor 212, a handle/device interface bus 240 that connects with the handle 126 or the noncontact distance measurement device 242 via the quick-connect interface in an embodiment, and a probe interface 226. The quick-connect interface allows access by the handle 126 to the data bus, control lines, and power bus used by the noncontact distance measurement device 242 and other accessories. In an embodiment, the probe end electronics 230 are located in the measurement probe housing 102 on the AACMM 100. In an embodiment, the handle 126 may be removed from the quick-connect interface and measurement may be performed by the noncontact distance measurement device 242 communicating with the probe end electronics 230 of the AACMM 100 via the interface bus 240. In an embodiment, the electronic data processing system 210 is located in the base 116 of the AACMM 100, the probe end electronics 230 are located in the measurement probe housing 102 of the AACMM 100, and the encoder systems are located in the bearing cartridge groupings 110, 112, 114. The probe interface 226 may connect with the probe end DSP 228 by any suitable communications protocol, including commercially-available products from Maxim Integrated Products, Inc. that embody the 1-Wire® communications protocol 236.



FIG. 3A is a block diagram describing detailed features of the electronic data processing system 210 of the AACMM 100 in accordance with an embodiment. In an embodiment, the electronic data processing system 210 is located in the base 116 of the AACMM 100 and includes the base processor board 204, the user interface board 202, a base power board 206, a Bluetooth module 232, and a base tilt module 208.


In an embodiment shown in FIG. 3A, the base processor board 204 includes the various functional blocks illustrated therein. For example, a base processor function 302 is utilized to support the collection of measurement data from the AACMM 100 and receives raw arm data (e.g., encoder system data) via the arm bus 218 and a bus control module function 308. The memory function 304 stores programs and static arm configuration data. The base processor board 204 also includes an external hardware option port function 310 for communicating with any external hardware devices or accessories such as a noncontact distance measurement device 242. A real time clock (RTC) and log 306, a battery pack interface (IF) 316, and a diagnostic port 318 are also included in the functionality in an embodiment of the base processor board 204 depicted in FIG. 3.


The base processor board 204 also manages all the wired and wireless data communication with external (host computer) and internal (display processor 202) devices. The base processor board 204 has the capability of communicating with an Ethernet network via an Ethernet function 320 (e.g., using a clock synchronization standard such as Institute of Electrical and Electronics Engineers (IEEE) 1588), with a wireless local area network (WLAN) via a LAN function 322, and with Bluetooth module 232 via a parallel to serial communications (PSC) function 314. The base processor board 204 also includes a connection to a universal serial bus (USB) device 312.


The base processor board 204 transmits and collects raw measurement data (e.g., encoder system counts, temperature readings) for processing into measurement data without the need for any preprocessing, such as disclosed in the serial box of the aforementioned '582 patent. The base processor 204 sends the processed data to the display processor 328 on the user interface board 202 via an RS485 interface (IF) 326. In an embodiment, the base processor 204 also sends the raw measurement data to an external computer.


Turning now to the user interface board 202 in FIG. 3B, the angle and positional data received by the base processor is utilized by applications executing on the display processor 328 to provide an autonomous metrology system within the AACMM 100. Applications may be executed on the display processor 328 to support functions such as, but not limited to: measurement of features, guidance and training graphics, remote diagnostics, temperature corrections, control of various operational features, connection to various networks, and display of measured objects. Along with the display processor 328 and a liquid crystal display (LCD) 338 (e.g., a touch screen LCD) user interface, the user interface board 202 includes several interface options including a secure digital (SD) card interface 330, a memory 332, a USB Host interface 334, a diagnostic port 336, a camera port 340, an audio/video interface 342, a dial-up/cell modem 344 and a global positioning system (GPS) port 346.


The electronic data processing system 210 shown in FIG. 3A also includes a base power board 206 with an environmental recorder 362 for recording environmental data. The base power board 206 also provides power to the electronic data processing system 210 using an AC/DC converter 358 and a battery charger control 360. The base power board 206 communicates with the base processor board 204 using inter-integrated circuit (I2C) serial single ended bus 354 as well as via a DMA serial peripheral interface (DSPI) 357. The base power board 206 is connected to a tilt sensor and radio frequency identification (RFID) module 208 via an input/output (I/O) expansion function 364 implemented in the base power board 206.


Though shown as separate components, in other embodiments all or a subset of the components may be physically located in different locations and/or functions combined in different manners than that shown in FIG. 3. For example, in one embodiment, the base processor board 204 and the user interface board 202 are combined into one physical board.


Referring now to FIGS. 4-9, an exemplary embodiment of a probe end 401 is illustrated having a measurement probe housing 102 with a quick-connect mechanical and electrical interface that allows removable and interchangeable device 400 to couple with AACMM 100. In the exemplary embodiment, the device 400 includes an enclosure 402 that includes a handle portion 404 that is sized and shaped to be held in an operator's hand, such as in a pistol grip for example. The enclosure 402 is a thin wall structure having a cavity 406 (FIG. 9). The cavity 406 is sized and configured to receive a controller 408. The controller 408 may be a digital circuit, having a microprocessor for example, or an analog circuit. In one embodiment, the controller 408 is in asynchronous bidirectional communication with the electronic data processing system 210 (FIGS. 2 and 3). The communication connection between the controller 408 and the electronic data processing system 210 may be wired (e.g. via controller 420) or may be a direct or indirect wireless connection (e.g. Bluetooth or IEEE 802.11) or a combination of wired and wireless connections. In the exemplary embodiment, the enclosure 402 is formed in two halves 410, 412, such as from an injection molded plastic material for example. The halves 410, 412 may be secured together by fasteners, such as screws 414 for example. In other embodiments, the enclosure halves 410, 412 may be secured together by adhesives or ultrasonic welding for example.


The handle portion 404 also includes buttons or actuators 416, 418 that may be manually activated by the operator. The actuators 416, 418 are coupled to the controller 408 that transmits a signal to a controller 420 within the probe housing 102. In the exemplary embodiments, the actuators 416, 418 perform the functions of actuators 422, 424 located on the probe housing 102 opposite the device 400. It should be appreciated that the device 400 may have additional switches, buttons or other actuators that may also be used to control the device 400, the AACMM 100 or vice versa. Also, the device 400 may include indicators, such as light emitting diodes (LEDs), sound generators, meters, displays or gauges for example. In one embodiment, the device 400 may include a digital voice recorder that allows for synchronization of verbal comments with a measured point. In yet another embodiment, the device 400 includes a microphone that allows the operator to transmit voice activated commands to the electronic data processing system 210.


In one embodiment, the handle portion 404 may be configured to be used with either operator hand or for a particular hand (e.g. left handed or right handed). The handle portion 404 may also be configured to facilitate operators with disabilities (e.g. operators with missing finders or operators with prosthetic arms). Further, the handle portion 404 may be removed and the probe housing 102 used by itself when clearance space is limited. As discussed above, the probe end 401 may also comprise the shaft of an axis of rotation for AACMM 100.


The probe end 401 includes a mechanical and electrical interface 426 having a first connector 429 (FIG. 8) on the device 400 that cooperates with a second connector 428 on the probe housing 102. The connectors 428, 429 may include electrical and mechanical features that allow for coupling of the device 400 to the probe housing 102. In one embodiment, the interface 426 includes a first surface 430 having a mechanical coupler 432 and an electrical connector 434 thereon. The enclosure 402 also includes a second surface 436 positioned adjacent to and offset from the first surface 430. In the exemplary embodiment, the second surface 436 is a planar surface offset a distance of approximately 0.5 inches from the first surface 430. This offset provides a clearance for the operator's fingers when tightening or loosening a fastener such as collar 438. The interface 426 provides for a relatively quick and secure electronic connection between the device 400 and the probe housing 102 without the need to align connector pins, and without the need for separate cables or connectors.


The electrical connector 434 extends from the first surface 430 and includes one or more connector pins 440 that are electrically coupled in asynchronous bidirectional communication with the electronic data processing system 210 (FIGS. 2 and 3), such as via one or more arm buses 218 for example. The bidirectional communication connection may be wired (e.g. via arm bus 218), wireless (e.g. Bluetooth or IEEE 802.11), or a combination of wired and wireless connections. In one embodiment, the electrical connector 434 is electrically coupled to the controller 420. The controller 420 may be in asynchronous bidirectional communication with the electronic data processing system 210 such as via one or more arm buses 218 for example. The electrical connector 434 is positioned to provide a relatively quick and secure electronic connection with electrical connector 442 on probe housing 102. The electrical connectors 434, 442 connect with each other when the device 400 is attached to the probe housing 102. The electrical connectors 434, 442 may each comprise a metal encased connector housing that provides shielding from electromagnetic interference as well as protecting the connector pins and assisting with pin alignment during the process of attaching the device 400 to the probe housing 102.


The mechanical coupler 432 provides relatively rigid mechanical coupling between the device 400 and the probe housing 102 to support relatively precise applications in which the location of the device 400 on the end of the arm portion 104 of the AACMM 100 preferably does not shift or move. Any such movement may typically cause an undesirable degradation in the accuracy of the measurement result. These desired results are achieved using various structural features of the mechanical attachment configuration portion of the quick connect mechanical and electronic interface of an embodiment of the present invention.


In one embodiment, the mechanical coupler 432 includes a first projection 444 positioned on one end 448 (the leading edge or “front” of the device 400). The first projection 444 may include a keyed, notched or ramped interface that forms a lip 446 that extends from the first projection 444. The lip 446 is sized to be received in a slot 450 defined by a projection 452 extending from the probe housing 102 (FIG. 8). It should be appreciated that the first projection 444 and the slot 450 along with the collar 438 form a coupler arrangement such that when the lip 446 is positioned within the slot 450, the slot 450 may be used to restrict both the longitudinal and lateral movement of the device 400 when attached to the probe housing 102. As will be discussed in more detail below, the rotation of the collar 438 may be used to secure the lip 446 within the slot 450.


Opposite the first projection 444, the mechanical coupler 432 may include a second projection 454. The second projection 454 may have a keyed, notched-lip or ramped interface surface 456 (FIG. 5). The second projection 454 is positioned to engage a fastener associated with the probe housing 102, such as collar 438 for example. As will be discussed in more detail below, the mechanical coupler 432 includes a raised surface projecting from surface 430 that adjacent to or disposed about the electrical connector 434 which provides a pivot point for the interface 426 (FIGS. 7 and 8). This serves as the third of three points of mechanical contact between the device 400 and the probe housing 102 when the device 400 is attached thereto.


The probe housing 102 includes a collar 438 arranged co-axially on one end. The collar 438 includes a threaded portion that is movable between a first position (FIG. 5) and a second position (FIG. 7). By rotating the collar 438, the collar 438 may be used to secure or remove the device 400 without the need for external tools. Rotation of the collar 438 moves the collar 438 along a relatively coarse, square-threaded cylinder 474. The use of such relatively large size, square-thread and contoured surfaces allows for significant clamping force with minimal rotational torque. The coarse pitch of the threads of the cylinder 474 further allows the collar 438 to be tightened or loosened with minimal rotation.


To couple the device 400 to the probe housing 102, the lip 446 is inserted into the slot 450 and the device is pivoted to rotate the second projection 454 toward surface 458 as indicated by arrow 464 (FIG. 5). The collar 438 is rotated causing the collar 438 to move or translate in the direction indicated by arrow 462 into engagement with surface 456. The movement of the collar 438 against the angled surface 456 drives the mechanical coupler 432 against the raised surface 460. This assists in overcoming potential issues with distortion of the interface or foreign objects on the surface of the interface that could interfere with the rigid seating of the device 400 to the probe housing 102. The application of force by the collar 438 on the second projection 454 causes the mechanical coupler 432 to move forward pressing the lip 446 into a seat on the probe housing 102. As the collar 438 continues to be tightened, the second projection 454 is pressed upward toward the probe housing 102 applying pressure on a pivot point. This provides a see-saw type arrangement, applying pressure to the second projection 454, the lip 446 and the center pivot point to reduce or eliminate shifting or rocking of the device 400. The pivot point presses directly against the bottom on the probe housing 102 while the lip 446 is applies a downward force on the end of probe housing 102. FIG. 5 includes arrows 462, 464 to show the direction of movement of the device 400 and the collar 438. FIG. 7 includes arrows 466, 468, 470 to show the direction of applied pressure within the interface 426 when the collar 438 is tightened. It should be appreciated that the offset distance of the surface 436 of device 400 provides a gap 472 between the collar 438 and the surface 436 (FIG. 6). The gap 472 allows the operator to obtain a firmer grip on the collar 438 while reducing the risk of pinching fingers as the collar 438 is rotated. In one embodiment, the probe housing 102 is of sufficient stiffness to reduce or prevent the distortion when the collar 438 is tightened.


Embodiments of the interface 426 allow for the proper alignment of the mechanical coupler 432 and electrical connector 434 and also protect the electronics interface from applied stresses that may otherwise arise due to the clamping action of the collar 438, the lip 446 and the surface 456. This provides advantages in reducing or eliminating stress damage to circuit board 476 mounted electrical connectors 434, 442 that may have soldered terminals. Also, embodiments provide advantages over known approaches in that no tools are required for a user to connect or disconnect the device 400 from the probe housing 102. This allows the operator to manually connect and disconnect the device 400 from the probe housing 102 with relative ease.


Due to the relatively large number of shielded electrical connections possible with the interface 426, a relatively large number of functions may be shared between the AACMM 100 and the device 400. For example, switches, buttons or other actuators located on the AACMM 100 may be used to control the device 400 or vice versa. Further, commands and data may be transmitted from electronic data processing system 210 to the device 400. In one embodiment, the device 400 is a video camera that transmits data of a recorded image to be stored in memory on the base processor 204 or displayed on the display 328. In another embodiment the device 400 is an image projector that receives data from the electronic data processing system 210. In addition, temperature sensors located in either the AACMM 100 or the device 400 may be shared by the other. It should be appreciated that embodiments of the present invention provide advantages in providing a flexible interface that allows a wide variety of accessory devices 400 to be quickly, easily and reliably coupled to the AACMM 100. Further, the capability of sharing functions between the AACMM 100 and the device 400 may allow a reduction in size, power consumption and complexity of the AACMM 100 by eliminating duplicity.


In one embodiment, the controller 408 may alter the operation or functionality of the probe end 401 of the AACMM 100. For example, the controller 408 may alter indicator lights on the probe housing 102 to either emit a different color light, a different intensity of light, or turn on/off at different times when the device 400 is attached versus when the probe housing 102 is used by itself. In one embodiment, the device 400 includes a range finding sensor (not shown) that measures the distance to an object. In this embodiment, the controller 408 may change indicator lights on the probe housing 102 in order to provide an indication to the operator how far away the object is from the probe tip 118. In another embodiment, the controller 408 may change the color of the indicator lights based on the quality of the image acquired by the coded structured light scanner device. This provides advantages in simplifying the requirements of controller 420 and allows for upgraded or increased functionality through the addition of accessory devices.


Referring to FIGS. 10-14, a device 500 is shown that allows for non-contact measurement of an object. In one embodiment, the device 500 is removably coupled to the probe end 401 via the coupler mechanism and interface 426. In another embodiment, the device 500 is integrally connected to the probe end 401. As will be discussed in more detail below, the device 500 may be an interferometer (FIG. 11) an absolute distance measurement (ADM) device (FIG. 12), a focusing meter (FIG. 13 and FIG. 14) or another type of non-contact distance measurement device.


The device 500 further includes an enclosure 501 with a handle portion 510. In one embodiment, the device 500 may further include an interface 426 on one end that mechanically and electrically couples the device 500 to the probe housing 102 as described herein above. The interface 426 provides advantages in allowing the device 500 to be coupled and removed from the AACMM 100 quickly and easily without requiring additional tools. In other embodiments, the device 500 may be integrated into the probe housing 102.


The device 500 includes an electromagnetic radiation transmitter, such as a light source 502 that emits coherent or incoherent light, such as a laser light or white light for example. The light from light source 502 is directed out of the device 500 towards an object to be measured. The device 500 may include an optical assembly 504 and an optical receiver 506. The optical assembly 504 may include one or more lenses, beam splitters, dichromatic mirrors, quarter wave plates, polarizing optics and the like. The optical assembly 504 splits the light emitted by the light source and directs a portion towards an object, such as a retroreflector for example, and a portion towards the optical receiver 506. The optical receiver 506 is configured receive reflected light and the redirected light from the optical assembly 504 and convert the light into electrical signals. The light source 502 and optical receiver 506 are both coupled to a controller 508. The controller 508 may include one or more microprocessors, digital signal processors, memory and signal conditioning circuits.


Further, it should be appreciated that the device 500 is substantially fixed relative to the probe tip 118 so that forces on the handle portion 510 do not influence the alignment of the device 500 relative to the probe tip 118. In one embodiment, the device 500 may have an additional actuator (not shown) that allows the operator to switch between acquiring data from the device 500 and the probe tip 118.


The device 500 may further include actuators 512, 514 which may be manually activated by the operator to initiate operation and data capture by the device 500. In one embodiment, the optical processing to determine the distance to the object is performed by the controller 508 and the distance data is transmitted to the electronic data processing system 210 via bus 240. In another embodiment optical data is transmitted to the electronic data processing system 210 and the distance to the object is determined by the electronic data processing system 210. It should be appreciated that since the device 500 is coupled to the AACMM 100, the electronic processing system 210 may determine the position and orientation of the device 500 (via signals from the encoders) which when combined with the distance measurement allow the determination of the X, Y, Z coordinates of the object relative to the AACMM.


In one embodiment, the device 500 shown in FIG. 11 is an interferometer. An interferometer is a type of distance meter that sends a beam of coherent light, such as laser light for example, to a point on an object. In the exemplary embodiment, the object is an external retroreflector 516 for example. The interferometer combines the returned light with a reference beam of light to measure a change in distance of an object. By arranging the retroreflector 516 at an initial position where the distance D is known, as the retroreflector 516 is moved to a new position the distance D′ may be determined. With an ordinary or incremental interferometer, the distance is determined by counting half-wavelengths since the interference pattern of the light repeats for every half wavelength of movement of the object point relative to the distance meter. The retroreflector 516 may be a spherically mounted retroreflector that comprises a metal sphere into which a cube corner retroreflector is embedded. The cube corner retroreflector comprises three perpendicular mirrors that come together at a common apex point. In an embodiment, the apex point is placed at the center of the metal sphere. By holding the sphere in contact with an object, the distance to object surface points may be measured by the interferometer. The retroreflector 516 may also be any other type of device that sends the light back parallel to the outgoing light.


In an embodiment, the device 500 is an incremental interferometer. The incremental interferometer has a measured distance D calculated using D=a+(m+p)*(lambda/2)*c/n, where “a” is a constant, “m” is the integer number of counts that have transpired in the movement of a target, “p” is the fractional part of a cycle (a number 0 to 1 corresponding to a phase angle of 0 to 360 degrees), “lambda” is the wavelength of the light in vacuum, “c” is the speed of light in vacuum, and “n” is the index of refraction of the air at wavelength of the light 524 at the temperature, barometric pressure, and humidity of the air through which the light 524 passes. The index of refraction is defined as the speed of light in vacuum divided by the speed of light in a local medium (in this case air), and so it follows that the calculated distance D depends on the speed of light in air “c/n”. In an embodiment, light 518 from a light source 502 passes through a interferometer optic 504, travels to a remote retroreflector 516, passes through the interferometer optic 504 in a return path, and enters an optical receiver. The optical receiver is attached to a phase interpolator. Together the optical receiver and phase interpolator include optics and electronics to decode the phase of the returning light and to keep track of the number of half-wavelength counts. Electronics within the phase interpolator or elsewhere within the articulated arm 100 or in an external computer determine the incremental distance moved by the retroreflector 516. The incremental distance traveled by the retroreflector 516 of FIG. 11 is D′-D. A distance D′ at any given time may be determined by first finding the position of the retroreflector at a reference position, which might for example be a distance D from a reference point on the articulated arm CMM. For example, if the retroreflector resides within a spherically mounted retroreflector (SMR), a distance D′ may be found by first locating the retroreflector 516 at a reference location, which might be for example a magnetic nest configured to hold the SMR. Thereafter, as long as the beam is not broken between the source of light 502 and the retroreflector 516, the total distance D′ can be determined by using a reference distance as the value “a” in the equation discussed hereinabove. A reference distance might be determined, for example, by measuring a reference sphere with the scanner held at a variety of orientations. By self-consistently solving for the coordinates of the reference sphere, the reference distance can be determined.



FIG. 11 shows an emitted outgoing beam of light 524 travelling parallel to, but offset from, the returning beam of light 524B. In some cases, it may be preferable to have the light return on itself so that the light 524 and 524B are traveling along the same path but in opposite directions. In this case, it may be important to use an isolation method to keep reflected light from entering and destabilizing the light source 520. One means for isolating the laser from the returning light is to place a Faraday isolator in the optical pathway between the light source 502 and the returning light 524B.


In one embodiment of an incremental interferometer, the interferometer is a homodyne type of the device such that the light source 502 is a laser that operates on a single frequency. In other embodiments, the device may be a heterodyne type of device and the laser operates on at least two frequencies to produce two overlapping beams that are polarized and orthogonal. The light source 502 emits a light 518 that is directed into a beam splitting device 520. Here, a first portion 522 of the light is reflected and transmitted to the optical receiver 506. The first portion 522 is reflected off of at least one mirror 523 to direct the first portion to the optical receiver 506. In the exemplary embodiment, the first portion 522 is reflected off a plurality of mirrors 523 and the beam splitter 520. This first portion 522 is a reference beam of light that used for comparison with a returned or reflected light.


A second portion 524 of the light is transmitted through the beam splitting device 520 and is directed towards the retroreflector 516. It should be appreciated that the optical assembly 504 may further include other optical components, such as but not limited to lenses, quarter wave plates, filters and the like (not shown) for example. The second portion 524 of light travels to the retroreflector 516, which reflects the second portion 524 back towards the device 500 along a path 527 that is parallel to the outgoing light. The reflected light is received back through the optical assembly where it is transmitted through the beam splitting device 520 to the optical receiver 506. In the exemplary embodiment, as the returning light is transmitted through the beam splitting device 520, it joins a common optical path with the light of first portion 522 to the optical receiver 502. It should be appreciated that the optical assembly 504 may further include additional optical components (not shown), such as an optic that produces a rotating plane of polarization for example, between the beam splitting device 520 and the optical receiver 506. In these embodiments, the optical receiver 506 may be composed of multiple polarization sensitive receivers that allow for power normalization functionality.


The optical receiver 506 receives both the first portion 522 and the second portion 524 light. Since the two light portions 522, 524 each have a different optical path length, the second portion 524 will have a phase shift when compared to the first portion 522 at the optical receiver 506. In an embodiment where the device 500 is a homodyne interferometer, the optical receiver 506 generates an electrical signal based on the change in intensity of the two portions of light 522, 524. In an embodiment where the device 500 is a heterodyne interferometer, the receiver 506 may allow for phase or frequency measurement using a technique such as a Doppler shifted signal for example. In some embodiments, the optical receiver 506 may be a fiber optic pickup that transfers the received light to a phase interpolator 508 or spectrum analyzer for example. In still other embodiments, the optical receiver 506 generates an electrical signal and transmits the signal to a phase interpolator 508.


In an incremental interferometer, it is necessary to keep track of the change in the number of counts m (from the equation described hereinabove). For the case of which the beam of light is kept on a retroreflector 516, the optics and electronics within the optical receiver 506 may be used to keep track of counts. In another embodiment, another type of measurement is used, in which the light from the distance meter is sent directly onto the object to be measured. The object, which might be metallic, for example, may reflect light diffusely so that only a relatively small fraction of the light returns to an optical receiver. In this embodiment, the light returns directly on itself so that the returning light is substantially coincident with the outgoing light. As a result, it may be necessary to provide a means to reduce the amount of light feeding back into the light source 502, such as with a Faraday isolator for example.


One of the difficulties in measuring the distance to a diffuse target is that it is not possible to count fringes. In the case of a retroreflector target 516, it is known that the phase of the light changes continuously as the retroreflector is moved away from the tracker. However, if a beam of light is moved over an object, the phase of the returning light may change discontinuously, for example, when the light passes by an edge. In this instance, it may be desired to use a type of interferometer known as an absolute interferometer. An absolute interferometer simultaneously emits multiple wavelengths of light, the wavelengths configured to create a “synthetic wavelength,” which might be on the order of a millimeter, for example. An absolute interferometer has the same accuracy as an incremental interferometer except that it is not necessary to count fringes for each half wavelength of movement. Measurements can be made anywhere within a region corresponding to one synthetic wavelength.


In an embodiment, the optical assembly 504 may include a steering mirror (not shown), such as a micro-electromechanical system (MEMS) mirror that allows light from an absolute interferometer to be reflected from the scanner and received back by the scanner to measure rapidly over an area.


In one embodiment the device may include an optional image acquisition device, such as a camera 529, which is used in combination with an absolute interferometer. The camera 529 includes a lens and a photosensitive array. The lens is configured to image the illuminated object point on a photosensitive array. The photosensitive array is configured to be responsive to the wavelengths of light emitted by the absolute interferometer. By noting the position of the imaged light on the photosensitive array, it is possible to determine the ambiguity range of the object point. For example, suppose that an absolute interferometer has an ambiguity range of 1 mm. Then as long as the distance to the target is known to within one millimeter, there is no problem in using the interferometer to find the distance to the target. However, suppose that the distance to the target is not known to within the ambiguity range of one millimeter. In one embodiment, a way to find the distance to the target to within the ambiguity range is to place the camera 529 near the point of emission of the beam of light. The camera forms an image of the scattered light on the photosensitive array. The position of the imaged spot of light depends on the distance to the optical target and thereby provides a way of determining the distance to the target to within the ambiguity range.


In an embodiment, the distance measurement device uses coherent light (e.g. a laser) in the determination of the distance to the object. In one embodiment, the device varies the wavelength of a laser as a function of time, for example, linearly as a function of time. Some of the outgoing laser beam is sent to an optical detector and another part of the outgoing laser beam that travels to the retroreflector is also sent to the detector. The optical beams are mixed optically in the detector and an electrical circuit evaluates the signal from the optical detector to determine the distance from the distance meter to the retroreflector target.


In one embodiment the device 500 is an absolute distance meter (ADM) device. An ADM device typically uses an incoherent light and determines a distance to an object based on the time required to travel from the distance meter to the target and back. Although ADM devices usually have lower accuracy than interferometers, an ADM provides an advantage in directly measuring distance to an object rather than measuring a change in distance to the object. Thus, unlike an interferometer, an ADM does not require a known initial position.


One type of ADM is a pulsed time-of-flight (TOF) ADM. With a pulsed TOF ADM, a laser emits a pulse of light. Part of the light is sent to an object, scatters off the object, and is picked up by an optical detector that converts the optical signal into an electrical signal. Another part of the light is sent directly to the detector (or a separate detector), where it is converted into an electrical signal. The time dt between the leading edge of the two electrical pulse signals is used to determine the distance to from the distance meter to the object point. The distance D is just D=a+dt*c/(2n), where a is a constant, c is the speed of light in vacuum, and n is the index of refraction of light in air.


Another type of ADM is a phase-based ADM. A phased-based ADM is one in which a sinusoidal modulation is directly applied to a laser to modulate the optical power of the emitted laser beam. The modulation is applied as either a sinusoid or a rectangle. The phase associated with the fundamental frequency of the detected waveform is extracted. The fundamental frequency is the main or lowest frequency of the waveform. Typically, the phase associated with the fundamental frequency is obtained by sending the light to an optical detector to obtain an electrical signal, condition the light (which might include sending the light through amplifiers, mixer, and filters), converting the electrical signals into digitized samples using an analog-to-digital converter, and then calculating the phase using a computational method.


The phase-based ADM has a measured distance D equal to D=a+(s+p)*c/(2*f*n), where “a” is a constant, “s” and “p” are integer and fractional parts of the “ambiguity range” of an object point, and “f” is the frequency of modulation, “c” is the speed of light in vacuum, and n is the index of refraction. The quantity R=c/(2*f*n) is the ambiguity range. If, for example, the modulation frequency is f=3 GHz, then from the formula the ambiguity range is approximately 50 mm. The formula for “D” shows that calculated distance depends on the speed of light in air, “c/n”. As in the case of the absolute interferometer, one of the parameters that it is desirable to determine is the ambiguity range for the object point under investigation. For an AACMM 100 used to measure the coordinates of a diffuse surface, the beam of light from the device 500 may in the course of a few milliseconds be directed to objects separated by several meters. If the ambiguity range was not determined, such a large change would likely exceed the ambiguity range of the device and hence would leave the ADM without knowledge of the distance to the object point.


In one embodiment the emitted light is modulated at a plurality of frequencies so that the ambiguity range may be determined in real time. For example, in one embodiment four different modulation frequencies may be simultaneously applied to laser light. By known means of sampling and extraction procedures, the absolute distance to the target can be determined by calculating the phase for each of these four frequencies. In other embodiments, fewer than four frequencies are used. Phase-based ADMs may be used at either near or far ranges. Modulation and processing methods are possible with other types of incoherent distance meters. Such distance meters are well known in the art and are not discussed further.


In one embodiment shown in FIG. 12, the device 500 is an ADM device that includes a light source 528, an isolator 530, ADM electronics 546, a fiber network 536, a fiber launch 538, and optionally a beam splitter 540 and position detector 542. The light source 528 may be laser such as a red or infrared laser diode for example. Laser light may be sent through an isolator 530, which may be a Faraday isolator or an attenuator, for example. The isolator 530 may be fiber coupled at its input and output ports. ADM electronics 532 modulates the light source 528 by applying a radio frequency (RF) electrical signal to an input of the laser. In an embodiment, the RF signal is applied through the cable 532 which sinusoidally modulates the optical power of the light emitted by the laser at one or more modulation frequencies. The modulated light passing through the isolator travels to the fiber network 536. Some of the light travels over optical fiber 548 to the reference channel of the ADM electronics 546. Another portion of the light travels out of the device 500, reflects off target 516, and returns to the device 500. In one embodiment, the target 516 is a non-cooperative target such as a diffusely reflecting material such as aluminum or steel. In another embodiment, the target 516 is a cooperative target, such as a retroreflector target, for example, that returns most of the light back to the device 500. Light entering the device 500 passes back through the fiber launch 538 and fiber network 536 and enters the measure channel of the ADM electronics 546 through the fiber optic cable 550. The ADM electronics 546 includes optical detectors that convert the reference and measure optical signals received from the optical fiber 548 and 550 into electrical reference and measure signals. These signals are processed with electronics to determine a distance to the target.


In one embodiment, the light from the device 500 is sent to a retroreflector rather than a non-cooperative (diffusely scattering) target. In this case, a position detector 542 may be included to receive a small amount of light reflected off a beamsplitter 540. The signal received by the position detector 542 may be used by a control system to cause the light beam from the device 500 to track a moving retroreflector 516. If a scattering target is used rather than a retroreflective target, the beamsplitter 540 and the position detector 542 may be omitted.


In one embodiment, the ADM device 500 incorporates a configuration such as that described in commonly owned U.S. Pat. No. 7,701,559 which is incorporated herein by reference. It should be appreciated that both the interferometer devices and the ADM devices determine the distance to the object at least in part based on the speed of light in air.


Another type of distance meter is one based on a focusing method. Examples of focusing distance meters are a chromatic focusing meter, a contrast focusing meter, and an array sensing focusing meter. A device using a chromatic focusing method such as the one shown in FIG. 13, incoherent white light is generated by the light source 552. Due to a chromatic aberration of a lens 554 in the optical assembly the light is focused in a “focal line” on the object 556 based on the wavelength of light. As a result, different wavelengths components of the white light are focused at different distances. Using a spectrometer 557, the distance to the object 556 may be determined.


Another type of focusing distance meter shown in FIG. 14 is a contrast focusing device. In this embodiment, the distance to the object is determined by focusing to a maximum contrast or image sharpness. The focusing is achieved by moving a camera 558 along an axis in the direction of the object 560. When the position of greatest contrast has been found, the object 560 lies on the optical axis of the sensor 562 at a known distance. This known distance is predetermined during a calibration process.


In one embodiment, the device 500 may be an array sensing focusing meter. In this type of device, a source of light sends light through a lens and a beam splitter. Part of the light strikes the object, reflects off the beam splitter, and travels to a photosensitive array. If the object under inspection is at the focal position of the spot of light, the light on the photosensitive array will be very small. Hence the AACMM 100 could be used to capture the 3D coordinates whenever the spot on the array was sufficiently small.


In still another embodiment, the device 500 may be a conoscopic holography device. In this type of device, the surface of the object is probed by a laser point. The laser light is diffusely reflected by the surface to form a point light source. The light cone emanating from this point is widened by an optical system. A birefringent crystal is arranged between two circular polarizers to split the light into an ordinary beam and an extraordinary beam. After transmitting through the second polarizing lens, the two beams superimpose to generate a holographic fringe pattern that may be acquired by a photosensitive sensor, such as a CCD camera. The distance to the object is determined from the interference fringes by image processing.


It should be appreciated that while the focusing devices and the conoscopic holography devices may depend on the index of refraction of light in air, the determination of distance for these devices is independent of the speed of light in air.


The reach of an AACMM is often relatively short in comparison to the environment in which it is located. For example, an articulated arm may be used to measure large tooling structures for an aircraft, the tooling structures being located within a large hangar or manufacturing facility. In such situations, it is often necessary to move the AACMM from one location to another while measuring the same component. For example, for the large tooling structure described above, the AACMM may be moved from a left side of the tooling structure to a middle part of the structure and to provide the three-dimensional coordinates measured by the AACMM within a common frame of reference. In the past, various methods have been established for doing this, and although these methods have been generally suitable for their intended purpose, they have not satisfied the need for doing this while moving the AACMM over large distances.


In an embodiment, a distance meter is attached to the end of the AACMM. The AACMM has an origin having three translational degrees of freedom. The AACMM also has an orientation, which has three orientational degrees of freedom. The AACMM is located within an environment having its own frame of reference, referred to herein as a target frame of reference. For example, in the example given above, the large tooling structure may be described by a CAD model or by a model obtained from prior 3D measurements. In relation to the CAD model or measured model, the target frame of reference is assigned. The target frame of reference has a target origin, usually assigned Cartesian coordinates (0,0,0) within the target frame of reference. The target frame of reference will also have an orientation, which may be described in terms of three Cartesian axes x, y, and z.


The AACMM has an AACMM origin and an AACMM orientation in relation to the target frame of reference. In other words, the AACMM origin is offset from the target frame of reference by some amount dx, dy, dz, and the three axes of the AACMM frame of reference may be described by three rotation angles relative to the axes of the target frame of reference.


It is often desirable to know the AACMM frame of reference within the target frame of reference, for example, when trying to compare measured values to those indicated in a CAD model. By such means, the AACMM may determine whether a component or tool has been manufactured within specified tolerances. For the case in which the AACMM is moved from a first AACMM frame of reference to a second AACMM frame of reference, it is useful to know both the first and second AACMM frame of reference in the target frame of reference.


A distance meter attached to the end of the AACMM may be used to provide the mathematical transformations needed to move from one frame to another. To do this, the distance meter measures the distance to at least three targets having 3D coordinates known at least approximately within the target frame of reference. In some cases, the locations of the at least three targets are arbitrary and are not known even approximately. In some cases, a CAD model shows nominal 3D coordinates of features on an object. By measuring 3D coordinates of at least three features, the arm may construct x, y, and z (or equivalent) axes for a target coordinate system. For example, a first measured point may establish the origin. A second measured point may be used to establish the x axis in the target frame of reference. The third measured point may be used to establish the y and z axes. (The y axis is perpendicular to the x axis, and the z axis is perpendicular to both the x and y axes.) In other cases, a large number of points may be measured with the arm, and a best fit procedure used to determine a best fit to a CAD model. This best fit then provides a basis for the target frame of reference.


Regardless of the method used, by measuring with the AACMM the 3D coordinates of at least three points, the arm may determine the position and orientation of the AACMM frame of reference in the target frame of reference. In some cases, this may be done over a region extending beyond an individual tool or component and may extend to an entire building. For example, a building might have multiple targets measured by distance meters to establish a frame of reference for all objects within the building.


The operation of moving an articulated arm is moved to more than one position is referred to as relocation, and the method of establishing a common frame of reference following relocation is often referred to as registration.


In an embodiment, at least three targets are provided within the target frame of reference. These targets may be cooperative or non-cooperative targets. An example of a cooperative target is a retroreflector—for example, a cube corner retroreflector. An example of a non-cooperative target is a feature on an object—for example, a sphere or a hole. An example of a target that may be considered cooperative or non-cooperative is a highly reflective target, for example, a highly reflective circular target. Such targets are often referred to as retroreflective targets even though they do not reflect as much light as a cube corner retroreflector, for example. In some cases, non-cooperative targets are natural features of an object—for example, the point of intersection of three planar surfaces.


Although an AACMM is often used to measure relatively small parts with a tactile probe or scanner attached to the end of the arm, it is sometimes helpful to obtain 3D data may be obtained on a larger scale by measuring distances to relatively far-away objects. By combining this information with the information provided by the collection of angular encoders in the articulated arm CMM, it is possible to obtain 3D coordinates of relatively distant points.


In some cases, it is useful to combine a distance measured by a distance meter such as the ADM of FIG. 12 with an image obtained by a camera such as the camera 529 of FIG. 12 to obtain scaling information for the camera image or to provide dimensional information on an object shown in the camera image.


In an embodiment, a processor system 1500 of FIG. 15 is used in conjunction with an articulated arm CMM that includes a distance ranging system 500 and a camera 529. The processor system includes at least one of the processor elements 1510, 1520, and 1530. The AACMM processor 1510 represents the collection of processors within the AACMM and may include, for example, the base processor 204, the encoder DSPs, the Coldfire processor, or any other computing device found in the AACMM or its accessories. The external computer may be used to run application software particularly relevant to the applications described below. The computer may be a cloud computer, by which is meant a remote networked computer. The connections among the processors 5150, 1520, and 1530 may be through wired connections, wireless connections, or a combination of wired and wireless connections.


In some cases, a single distance measurement to a point may provide enough information to determine one or more dimensions of an imaged object. For example, suppose that a cylindrical column or a cylindrical pipe is shown in an image on the camera 529 of FIG. 12. In an exemplary method, an operator sends a beam of light from the ADM 500 of FIG. 12 to a surface point of the column and measures the distance to that surface point with the ADM. The width of the column may then be found to reasonable accuracy by multiplying the subtended angle in radians times the measured distance. The width of the column may be found to slightly greater accuracy using the formula w=2d tan(θ/2), where w is the width of the column, d is the measured distance from the articulated arm to the measured surface point, and theta is the subtended angle of the column as seen by the camera. The subtended angle θ is the angular width of the column as determined from the camera image. For example, if the camera has a FOV of 40 degrees, the photosensitive array in the camera 529 has 2000 pixels across, and the column occupies 100 of the pixels, then the angular subtense of the column is approximately (40°)(100/2000)(π/180°)=0.035 radian. If the distance d to the column is measured by the ADM 500 to be 10 meters, then the width of the column is approximately 0.35 meter.


To obtain the desired accuracy, the distance d may be the distance from the perspective center of the camera 529 to the object point rather than the distance from the ADM 500 to the object point. (The perspective center of the camera 529 is the point within the camera through which paraxial rays of light from object points appear to pass in traveling through the lens to the photosensitive array.) Because the distance to the ADM 500 and the position and orientation of the camera 529 are known, it is possible to determine the distance from the camera perspective center to the object point.


In the case of the column, the cylindrical geometry or symmetry of the column enabled the width of the column to be determined. A sphere has a similar known geometry that is invariant with direction of view, and this geometrical feature enables its radius or diameter to be determined with a single measurement of a distance d combined with a single image from the camera 529. In a similar manner, other symmetries without a scene may be used to extract dimensional features by measuring a distance with the ADM 500 and an angular subtense with the camera 529 of one or more points, dimensional quantities may be determined. In addition, the angular measurements provided by the AACMM provide additional information that speed dimensional measurements or improve accuracy.


As another example of how symmetries of objects in camera images may be used to extract dimensional data, consider the case of an articulated arm sitting on a table with a wall straight ahead, walls to the left and right, a ceiling and floor also in the foreground. In an embodiment, the AACMM is positioned far enough away to see portions of all these surfaces. An operator may use the ADM 500 and the angle measurement of the AACMM to determine 3D coordinates on three points of the wall straight ahead. These three 3D coordinates determine provide enough information to determine an equation for a plane of the wall in the frame of reference of the AACMM. A user may then select any point on the image of the front wall and get in return 3D coordinates of that point. For example, once the equation of the plane of the wall is known, the 2D image of the mark by the camera 529 provides enough information to determine the 3D coordinates of the mark. As another example, a user might be interested in knowing whether a piece of equipment would fit between two points on the wall. This could also be determined using the method described hereinabove.


The equations of the planes that represent the left wall, right wall, floor and ceiling may likewise be determine based on three points, or the constraint that the walls, ceiling, and floor be mutually perpendicular may be used to reduce the number of points collected in subsequent measurements. For example, to determine the equation of the plane of the front wall, three or more points are needed. With this done, the equation of the plane of the right side wall may be determined by two points based on constraints of perpendicularity. With this done, the equation of the plane of the floor may be determined by one point based on constraints of perpendicularity with the front wall and right side wall. In this way, an AACMM may be used to quickly determine the dimensions of a room, the positions of doors, windows, and other features.


The 3D coordinates of points in an environment are based on the distance readings of the ADM 500 and the angle readings of the AACMM, but the symmetries (or geometries) of the surroundings are revealed by the camera image. Information on the observed symmetry may be provided either before or after 3D points are collected by the AACMM. For example, a user may measure three points on the wall straight ahead and then give a command “fit to a plane,” which causes software to fit the three points to a plane. Alternatively, the user may first select the command “fit to a plane” and then measure the three 3D points. In some cases, automated methods, such as those executed in software for example, may be provided to facilitate rapid measurement of commonly viewed features or structures. For example, computer executed software may be used to lead a user to select points to locate walls, doors, windows, etc. In most cases, the user will need to state the type of symmetry or geometry in the association between the camera image and AACMM measurements. In the example given above, for example, by selecting the command “fit to a plane,” the user was identifying the region being measured as a plane. Stated another way, the user was saying that the region being measured was characterized by a “planar geometry” or a “planar symmetry.”


To supplement the structural representation based on 3D points obtained from the combination of ADM distance readings, AACMM angle readings, and camera-revealed geometries (symmetries), it is possible to determine the 3D structure based on visual cues provided in overlapping camera images. For example, suppose that a wall had a number of distinctive features—doors, windows, light fixtures, tables, etc. When those features are seen in two or more overlapping images, mathematical techniques may be used to extract “cardinal points” that match in each of the two or more overlapping images. An example of such a mathematical technique is SIFT (scale invariant feature transform) disclosed in U.S. Pat. No. 6,711,293. Other examples include edge detection, blob detection, and ridge detection. Furthermore for images collected sequentially as overlapping images as the AACMM is camera position and orientation is changed, methods such “optical flow,” adapted from the studies of American psychologist James Gibson in the 1940s. A tutorial on optical flow estimation as used today is given in “Mathematical Models in Computer Vision: The Handbook” by N. Paragios, Y. Chen, and O. Faugeras (editors), Chapter 15, Springer 2005, pp. 239-258, the contents of which are incorporated by reference herein. It is generally true that 3D data provided by the articulated arm CMM is on its own sufficient to register multiple camera images, but pixel-by-pixel registration may be improved by using methods such as SIFT, optical flow, and edge detection. In addition, such methods may be used to extend the 3D coordinates of points beyond those directly measured with the ADM 500 and AACMM angle measurements.


A camera image (or multiple registered camera images) may be displayed and the user enabled to obtain dimensional information. For example, a user may point to a corner at which the left wall, front wall, and floor intersect and have displayed the 3D coordinates of that point. As a second step, the user may point to a second point at which the right wall, front wall, and floor intersect and have displayed the distance between the first point and the second point. As another example, a user may ask for the volume or floor area of the room and have it automatically calculated. Automated processes may be provided, such as computer executed software for example, to automatically look for and measure certain features. In the room example, the software may look for and automatically provide the dimensions of locations of every door and window in the room.


Dimensions, lines, or other information may be presented to the user along with a camera image, which may include a collection of registered images and may also include lines, annotation, or measured values superimposed on the registered images. The collection of registered images may be adjusted in perspective according to a position and direction of the AACMM. With the base of the AACMM fixed in place, for example, on a table, the probe end of the AACMM may be moved around and the perspective changed accordingly. For example, if the AACMM is rotated from facing the front wall to facing the back wall, the registered images may be correspondingly rotated to show the image of the side wall. This change in direction and perspective is easily and precisely done with an AACMM because the AACMM knows the six degrees-of-freedom (position and orientation) of the probe end (or camera or any other part of the AACMM) at all times.


In the present invention, the term 3D structural image is used to refer to a 3D image obtained based at least in part on ADM 500 distance measurements, AACMM angle measurements, and 2D visual images obtained from an AACMM camera, all combined with provided knowledge of geometry or symmetry of measured features. In an embodiment, the 3D structural image may be further based on a matching of cardinal points seen in overlapping 2D visual images.


In many cases, it can be useful to combine the capabilities for measuring with the ADM 500 with the ability to measure detailed characteristics of objects with a tactile probe or scanner attached to the AACMM. For example, a contractor may be hired to install within a kitchen cabinets and a countertop. In a first step, an operator may mount the AACMM on a platform in the kitchen and take a scan of the surrounding walls, cabinets, and appliances. The operator may use a scanner or tactile probe to measure the position of plumbing and other elements in relation to cabinets and walls. Based on these measurements, a contractor or design consultant may develop a rendered image showing the proposed location and appearance of additions or replacements in the kitchen, which may include new countertops. After the plans are approved, the contractor may remove old cabinets (if necessary) and replace them with new cabinets. The contractor may then measure the as-built cabinets and plumbing using the articulated arm probing accessories, which might include a tactile probe and a scanner, for example, a laser line probe or a structured light (area) scanner. A traditional way of determining the required dimensions for countertops is to construct a mock-up assembly having the desired shape. Such a mock-up assembly might be constructed for example of plywood or particle board. An articled arm provides a faster and more accurate way to make such measurements.


As another example of the use of AACMM probing accessories with the ADM 500 measurements, consider the case of measurement of a large object with the AACMM probing accessories. A tactile probe or scanner attached to the AACMM may measure detailed features of an object from each of several registration positions. The ADM 500 and the angle measuring capability of the AACMM may be used in combination to measure the 3D coordinates of each of several surfaces, features, or geometries. By performing this measurement at each of the multiple registration positions, the AACMM measurements made with the probing accessories may be put into a common frame of reference. In some cases, the visual images of the 2D camera images may be matched to further improve registration, as discussed above with regard to optical flow, cardinal points, and the like. By methods such as these, the AACMM probing accessories can measure a larger object than would otherwise be possible.


An ADM 500 may be used in combination with the angle measuring capabilities of the AACMM to provide visualization through augmented reality (AR). In an embodiment, an AACMM having a distance meter 500 is used to measure surfaces and features that define a volume of interest. Representations of objects for which CAD or rendered models are available or representations of objects for which 3D measurements have been made, for example using a tactile probe or scanner attached to the AACMM, may be superimposed over a representation of the background environment on a computer display. The superimposed representation is referred to herein as the “superimposed 3D representation,” and the representation of the background environment is referred to as the “background 3D representation.” The background 3D representation may a fixed representation obtained from a CAD or rendered model or from a 3D model constructed using the ADM 500 in combination with the angle measuring capability of the AACMM as discussed hereinabove. A user may view the AR image on a computer display from multiple positions and directions, thereby enabling all sides of the object to be seen. A mouse, thumb wheel, or other user control may be used to change the position and orientation of the user with respect to the superimposed 3D representation. In so doing, the background representation is automatically changed to provide the proper perspective. One application for this capability is checking whether new equipment (as measured or designed) will properly fit into a factory floor. Another application is to support attaching of the new equipment to walls or other equipment. A user may adjust the position of a superimposed 3D representation in relation to the background representation on a computer display and then indicate on the display where a connection should be made to a wall or other equipment. The position at which holes are to be drilled, brackets attached, or other construction tasks performed to properly attach the different elements may be indicated on an AR image on a computer display in multiple ways. In an embodiment an operator may provide a recognizable “mark” that the camera of the AACMM (or a separate camera) may recognize. In an embodiment, the recognizable mark is an LED marker carried by the user and readily recognized by image processing software applied to the camera 2D image. In another embodiment, the recognizable mark is provided by a spot of light directed from the light source in the distance meter 500 onto the desired connection point. In an embodiment, the user directs the AACMM to point the beam of light from the light source of the ADM 500 to the desired connection point. In an alternative embodiment, a beam steering device attached to the end of the AACMM, for example a steering mirror or MEMS steering device, directs the beam of light from the ADM 500 to the desired connection point. In the case that precise connection operations are necessary, the AACMM may be moved near to the location of the connection operations to provide greater measurement accuracy, for example, by using the tactile probe or scanner of the AACMM. In this case, a MEMS device may be used to project a detailed construction pattern on the object or objects involved.


In some cases, a user display, for example on a laptop computer, tablet, smartphone, or specialty device, may include positioning and orientation capability that enables a user to enable a camera image to provide the background 3D representation. Then while walking around a superimposed 3D representation, the position and orientation information may be used to position the superimposed 3D image on the real-time camera image. In an embodiment, such positioning and orientation capability may be provided by position/orientation sensors within the device. Such a sensor may include accelerometers (inclinometers), gyroscopes, magnetometers, and altimeters. The readings from all of the separate sensor devices may be fused together by software, which may include for example a Kalman filter. A three-axis accelerometer and a three-axis gyroscope are often combined in a device referred to as an inertial measurement unit (IMU). In many cases, the magnetometer and altimeter are also included in what is referred to as an IMU. The magnetometer is used to measure heading. The altimeter is usually a pressure sensor. Some smart devices also include GPS or other means of determining location (for example, from cellular signals). However, these signals are often not available indoors and so some indoor facilities have provided indoor GPS systems, which may be of a variety of types, such as a device with an external antenna that retransmits the GPS signals indoors for example. In an industrial setting, the location and orientation of a device (such as the display device described above) may be provided through the use of photogrammetry by mounting cameras around a factory and viewing reflectors (such as LEDs of photogrammetry dots or spheres) on the display device. Another way to refresh position information is by the use of near-field communication (NFC) tags, which may be located at defined positions within a facility. An enhanced position/orientation sensor may include not only the accelerometer, gyroscope, magnetometer, and altimeter described above, but also a position location system, which might be a GPS system, a local GPS system or a photogrammetry system. Such an enhanced position/orientation sensor may also provide for refreshing position information based on accessing of NFC tags in the environment.


If the position and orientation of a display device is known, a camera may be used to provide the background 3D representation as the user walks around a superimposed 3D representation that appears in the AR image on the display device. The AACMM with distance meter 500 and a tactile probe or scanner may be used to collect all the 3D information needed to represent the superimposed 3D representation and to place the superimposed representation within a building or other environment. For example, suppose that an articulated arm CMM were used to scan dinosaur bones to provide a detailed 3D representation of the assembled bones. If desired, the scanned 3D images may be rendered using colors from a camera 529 on the AACMM or a different camera. The scanned image may provide the superimposed 3D representation in an augmented reality (AR) image on a user display. The ADM 500 and angle measuring capability of the AACMM may be used in combination to position the AR object within a museum or similar structure. As an observer walks around the AR object, a display held by the user captures the background 3D image with a camera integrated into the display device while superimposing the 3D superimposed representation over the live camera image.


An AR display may also be provided as an on-line experience. In an embodiment, an AACMM having an ADM 500 and a tactile probe or scanner is used to scan an object such as the dinosaur bones described above. The ADM 500 and distance measuring capability of the AACMM are used in combination to locate the desired position and orientation of the AR image within the background environment. In an embodiment, a detailed 3D image is of the background structure is captured by a TOF scanner, which is a type of scanner that steers a laser beam to a variety of locations while measuring the angle of the beam with two angle encoders and measuring the distance with an absolute distance meter based on TOF. In this way, an observer may view a detailed 3D view not only of the dinosaur bones but also of the background structure, which may be a museum.


While the invention has been described with reference to example embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention. In addition, many modifications may be made to adapt a particular situation or material to the teachings of the invention without departing from the essential scope thereof. Therefore, it is intended that the invention not be limited to the particular embodiment disclosed as the best mode contemplated for carrying out this invention, but that the invention will include all embodiments falling within the scope of the appended claims. Moreover, the use of the terms first, second, etc. do not denote any order or importance, but rather the terms first, second, etc. are used to distinguish one element from another. Furthermore, the use of the terms a, an, etc. do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced item.

Claims
  • 1. A three-dimensional (3D) measuring device comprising: an articulated arm coordinate measurement machine (AACMM), the AACMM including a base and a manually positionable arm portion having opposed first and second ends, the arm portion including a plurality of connected arm segments, each arm segment including at least one position transducer for producing a position signal, the first end attached to the base, a camera coupled to the second end, a non-contact 3D measurement device coupled to the second end, the noncontact 3D measurement device having a light source, the noncontact 3D measurement device configured to determine a distance to an object point based at least in part on the speed of light in air, and an electronic circuit which receives the position signal from the at least one position transducer and provides data corresponding to a position of the camera and the non-contact 3D measurement device; anda processor system including at least one of an AACMM processor, an external computer, and a cloud computer configured for remote access, wherein the processor system is responsive to executable instructions which when executed by the processor system is operable to: causing the light source to send a first beam of light to a first object point;causing the noncontact 3D measurement device to receive a first reflected light and determine a first distance to the first object point in response, the first reflected light being a portion of the first beam of light reflected by the first object point;determining an angle of the first beam of light relative to the AACMM based at least in part on first position signals from the at least one position transducer;determining first 3D coordinates of the first object point based at least in part on the first distance and a first angle of the first beam of light relative to the AACMM;causing the camera to obtain a first 2D image of a first surface, the first 2D image having a first spot of light caused by the first beam of light intersecting the first surface at the first object point; andassociating the first 3D coordinates to the first spot of light.
  • 2. The 3D measuring device of claim 1 wherein the executable instructions further comprise determining a first dimension of a first feature in the first 2D image based at least in part on a first angular subtense of the first feature, the first distance, and a geometry of the first feature, wherein the first angular subtense is given with respect to a perspective center of the camera.
  • 3. The 3D measuring device of claim 2 wherein the geometry of the first feature is one of a cylinder and a sphere, the first dimension being associated with a diameter of the cylinder and the sphere, respectively.
  • 4. The 3D measuring device of claim 1 wherein the executable instructions further comprise: causing the light source to send a second beam of light to a second object point;causing the noncontact 3D measurement device to receive a second reflected light and determine a second distance to the second object point in response, the second reflected light being a portion of the second beam of light reflected by the second object point;determining an angle of the second beam of light relative to the AACMM;determining second 3D coordinates of the second object point based at least in part on the second distance and the second angle of the second beam of light relative to the AACMM; andcausing the camera to obtain a second 2D image of the first surface, the second 2D image having a second spot of light caused by the second beam of light intersecting the first surface at the second object point.
  • 5. The 3D measuring device of claim 4 wherein the executable instructions further comprise: causing the light source to send a third beam of light to a third object point;causing the noncontact 3D measurement device to receive a third reflected light and determine a third distance to the third object point in response, the third reflected light being a portion of the third beam of light reflected by the third object point;determining an angle of the third beam of light relative to the AACMM;determining third 3D coordinates of the third object point based at least in part on the third distance and the third angle of the third beam of light relative to the AACMM; andcausing the camera to obtain a third 2D image of the first surface, the third 2D image having a third spot of light caused by the third beam of light intersecting the first surface at the third object point.
  • 6. The 3D measuring device of claim 5 wherein the executable instructions further comprise determining when the first surface is a first plane shared by the first object point, the second object point, and the third object point, an equation for the first plane is based at least in part on the first 3D coordinates, the second 3D coordinates, and the third 3D coordinates.
  • 7. The 3D measuring device of claim 6 wherein the executable instructions further comprise observing with the camera a mark on the first plane in a fourth 2D image, the mark not coinciding with a point of illumination by a distance meter, and determining fourth 3D coordinates of the mark based at least in part on the fourth 2D image.
  • 8. The 3D measuring device of claim 6 wherein the executable instructions further comprise causing the camera to capture, in a fourth 2D image, a hole in the first plane and determining a diameter of the hole based at least in part on the fourth 2D image and on the equation of the first plane.
  • 9. The 3D measuring device of claim 6 wherein the executable instructions further comprise: causing the light source to send a fourth beam of light to a fourth object point on a second surface, the second surface being a planar surface perpendicular to the first plane;causing the noncontact 3D measurement device to receive a fourth reflected light and determine a fourth distance to the fourth object point in response, the fourth reflected light being a portion of the fourth beam of light reflected by the fourth object point;determining an angle of the fourth beam of light relative to the AACMM;determining fourth 3D coordinates of the fourth object point based at least in part on the fourth distance and the fourth angle of the fourth beam of light relative to the AACMM;causing the camera to obtain a fourth 2D image of the second surface, the fourth 2D image having a fourth spot of light caused by the fourth beam of light intersecting the second surface at the fourth object point;causing the light source to send a fifth beam of light to a fifth object point on the second surface;causing the noncontact 3D measurement device to receive a fifth reflected light and determine a fifth distance to the fifth object point in response, the fifth reflected light being a portion of the fifth beam of light reflected by the fifth object point;determining an angle of the fifth beam of light relative to the AACMM;determining fifth 3D coordinates of the fifth object point based at least in part on the fifth distance and the fifth angle of the fifth beam of light relative to the AACMM;causing the camera to obtain a fifth 2D image of the second surface, the fifth 2D image having a fifth spot of light caused by the fifth beam of light intersecting the second surface at the fifth object point; anddetermining when the first surface is a second plane shared by the fourth object point and the fifth object point, an equation for the second plane based at least in part on the fourth 3D coordinates, the fifth 3D coordinates, and the equation for the first plane.
  • 10. The 3D measuring device of claim 9 wherein the executable instructions further comprise: causing the light source to send a sixth beam of light to a sixth object point on a third surface, the third surface being a planar surface perpendicular to the first plane and the second plane;causing the noncontact 3D measurement device to receive a sixth reflected light and determine a sixth distance to the sixth object point in response, the sixth reflected light being a portion of the sixth beam of light reflected by the sixth object point;determining an angle of the sixth beam of light relative to the AACMM;determining sixth 3D coordinates of the sixth object point based at least in part on the sixth distance and the sixth angle of the sixth beam of light relative to the AACMM;causing the camera to obtain a sixth 2D image of the third surface, the sixth 2D image having a sixth spot of light caused by the sixth beam of light intersecting the third surface at the sixth object point; anddetermining when the third surface is a third plane that includes the sixth object point, an equation for the third plane based at least in part on the sixth 3D coordinates, the equation of the first plane, and the equation of the second plane.
  • 11. The 3D measuring device of claim 6 wherein the executable instructions further comprise determining a second dimension associated with a second feature of the first surface based at least in part on the equation of the first plane and on one of the first 2D image, the second 2D image, and the third 2D image.
  • 12. The 3D measuring device of claim 11 wherein the executable instructions further comprise identifying the second feature based at least in part on the second dimension.
  • 13. The 3D measuring device of claim 1 wherein the AACMM further includes at least one probe, the at least one probe selected from a group consisting of a tactile probe and a scanner.
  • 14. The 3D measuring device of claim 13 wherein the executable instructions further comprise measuring a plurality of points on an inspection object with the at least one probe.
  • 15. The 3D device of claim 14 wherein the executable instructions further include positioning the inspection object within an environment based at least in part on the plurality of measured points and on the first 3D coordinates of the first object point.
  • 16. The 3D device of claim 1 wherein the executable instructions further include determining a superimposed 3D image based at least in part on 3D coordinates obtained from at least one of: a tactile probe attached to the AACMM, a scanner attached to the AACMM, a computer-aided design (CAD) model, and a rendered 3D image.
  • 17. The 3D device of claim 16 wherein the executable instructions further include determining a background 3D image based at least in part on a combination of 2D camera images of a background environment and corresponding 3D coordinates of points in the background environment, the corresponding 3D coordinates of points in the background environment determined based at least in part on readings of the 3D non-contact measurement device and readings of the at least one position transducer.
  • 18. The 3D device of claim 17 wherein the 3D device further includes a user display device separate from the AACMM.
  • 19. The 3D device of claim 18 wherein the executable instructions further include superimposing on the user display the superimposed 3D image over the background 3D image.
  • 20. The 3D device of claim 19 wherein the 3D device further includes a user control and the executable instructions further include adjusting on the user display the superimposed 3D image relative to the background 3D image based at least in part on a signal from the user control.
  • 21. The device of claim 16 wherein the 3D device further includes a user display that has a second camera, the second camera being provided with a position/orientation sensor that provides information about the position and orientation of the second camera, the second camera being configured to provide a second camera image.
  • 22. The device of claim 21 wherein the position/orientation sensor includes a sensor selected from a group consisting of: an accelerometer or inclinometer, a gyroscope, a magnetometer, an altimeter, a global positioning system (GPS), a local GPS system, and photogrammetry targets configured to work with one or more photogrammetry cameras.
  • 23. The device of claim 21 wherein the executable instructions further include displaying on the user display a background representation based at least in part on the second camera, the executable instructions further including superimposing the superimposed 3D representation onto the background representation, the superimposed 3D representation based at least in part on the position and the orientation of the second camera.
  • 24. The device of claim 21 wherein the executable instructions further including providing a background display based at least in part on 2D images from the second camera, wherein the 2D images are updated in response to changes in position and orientation of the second camera.
CROSS-REFERENCE TO RELATED APPLICATIONS

The present application is a continuation-in-part of U.S. patent application Ser. No. 14/223,067, filed Mar. 24, 2014, which is a continuation-in-part of U.S. patent application Ser. No. 13/524,028, filed Jun. 15, 2012, now U.S. Pat. No. 8,677,643, and claims the benefit of U.S. Provisional Patent Application No. 61/296,555, filed Jan. 20, 2010, U.S. Provisional Patent Application No. 61/355,279, filed Jun. 16, 2010, and U.S. Provisional Patent Application No. 61/351,347, filed on Jun. 4, 2010. The present application is also a continuation-in-part of PCT Application No. PCT/US13/040321 filed on May 9, 2013. The contents of all of the above are hereby incorporated by reference in their entirety.

US Referenced Citations (728)
Number Name Date Kind
1535312 Hosking Apr 1925 A
1538758 Taylor May 1925 A
1918813 Kinzy Jul 1933 A
2316573 Egy Apr 1943 A
2333243 Glab Nov 1943 A
2702683 Green et al. Feb 1955 A
2748926 Leahy Jun 1956 A
2983367 Paramater et al. Jun 1958 A
2924495 Haines Sep 1958 A
2966257 Littlejohn Dec 1960 A
3066790 Armbruster Dec 1962 A
3447852 Barlow Jun 1969 A
3458167 Cooley, Jr. Jul 1969 A
3830567 Riegl Aug 1974 A
3899145 Stephenson Aug 1975 A
3945729 Rosen Mar 1976 A
4138045 Baker Feb 1979 A
4178515 Tarasevich Dec 1979 A
4340008 Mendelson Jul 1982 A
4379461 Nilsson et al. Apr 1983 A
4424899 Rosenberg Jan 1984 A
4430796 Nakagawa Feb 1984 A
4457625 Greenleaf et al. Jul 1984 A
4506448 Topping et al. Mar 1985 A
4537233 Vroonland et al. Aug 1985 A
4561776 Pryor Dec 1985 A
4606696 Slocum Aug 1986 A
4659280 Akeel Apr 1987 A
4663852 Guarini May 1987 A
4664588 Newell et al. May 1987 A
4667231 Pryor May 1987 A
4676002 Slocum Jun 1987 A
4714339 Lau et al. Dec 1987 A
4733961 Mooney Mar 1988 A
4736218 Kutman Apr 1988 A
4751950 Bock Jun 1988 A
4767257 Kato Aug 1988 A
4790651 Brown et al. Dec 1988 A
4816822 Vache et al. Mar 1989 A
4870274 Hebert et al. Sep 1989 A
4882806 Davis Nov 1989 A
4891509 Jones et al. Jan 1990 A
4954952 Ubhayakar et al. Sep 1990 A
4982841 Goedecke Jan 1991 A
4984881 Osada et al. Jan 1991 A
4996909 Vache et al. Mar 1991 A
4999491 Semler et al. Mar 1991 A
5021641 Swartz et al. Jun 1991 A
5025966 Potter Jun 1991 A
5027951 Johnson Jul 1991 A
5068971 Simon Dec 1991 A
5069524 Watanabe et al. Dec 1991 A
5155684 Burke et al. Oct 1992 A
5168532 Seppi et al. Dec 1992 A
5189797 Granger Mar 1993 A
5205111 Johnson Apr 1993 A
5211476 Coudroy May 1993 A
5213240 Dietz et al. May 1993 A
5216479 Dotan et al. Jun 1993 A
5218427 Koch Jun 1993 A
5219423 Kamaya Jun 1993 A
5239855 Schleifer et al. Aug 1993 A
5289265 Inoue et al. Feb 1994 A
5289855 Baker et al. Mar 1994 A
5313261 Leatham et al. May 1994 A
5319445 Fitts Jun 1994 A
5329347 Wallace et al. Jul 1994 A
5329467 Nagamune et al. Jul 1994 A
5332315 Baker et al. Jul 1994 A
5371347 Plesko Dec 1994 A
5372250 Johnson Dec 1994 A
5373346 Hocker Dec 1994 A
5402365 Kozikaro et al. Mar 1995 A
5402582 Raab Apr 1995 A
5412880 Raab May 1995 A
5416505 Eguchi et al. May 1995 A
5430384 Hocker Jul 1995 A
5446846 Lennartsson Aug 1995 A
5455670 Payne et al. Oct 1995 A
5455993 Link et al. Oct 1995 A
5510977 Raab Apr 1996 A
5517297 Stenton May 1996 A
5528354 Uwira Jun 1996 A
5528505 Granger et al. Jun 1996 A
5535524 Carrier et al. Jul 1996 A
5611147 Raab Mar 1997 A
5615489 Breyer et al. Apr 1997 A
5623416 Hocker, III Apr 1997 A
5629756 Kitajima May 1997 A
5668631 Norita et al. Sep 1997 A
5675326 Juds et al. Oct 1997 A
5677760 Mikami et al. Oct 1997 A
5682508 Hocker, III Oct 1997 A
5716036 Isobe et al. Feb 1998 A
5724264 Rosenberg et al. Mar 1998 A
5734417 Yamamoto et al. Mar 1998 A
5745225 Watanabe et al. Apr 1998 A
5752112 Paddock et al. May 1998 A
5754449 Hoshal et al. May 1998 A
5768792 Raab Jun 1998 A
5793993 Broedner et al. Aug 1998 A
5804805 Koenck et al. Sep 1998 A
5825666 Freifeld Oct 1998 A
5829148 Eaton Nov 1998 A
5831719 Berg et al. Nov 1998 A
5832416 Anderson Nov 1998 A
5844591 Takamatsu et al. Dec 1998 A
5856874 Tachibana et al. Jan 1999 A
5887122 Terawaki et al. Mar 1999 A
5894123 Ohtomo et al. Apr 1999 A
5898484 Harris Apr 1999 A
5898490 Ohtomo et al. Apr 1999 A
5909939 Fugmann Jun 1999 A
5926782 Raab Jul 1999 A
5933267 Ishizuka Aug 1999 A
5936721 Ohtomo et al. Aug 1999 A
5940170 Berg et al. Aug 1999 A
5940181 Tsubono et al. Aug 1999 A
5949530 Wetteborn Sep 1999 A
5956857 Raab Sep 1999 A
5969321 Danielson et al. Oct 1999 A
5973788 Pettersen et al. Oct 1999 A
5978748 Raab Nov 1999 A
5983936 Schwieterman et al. Nov 1999 A
5988862 Kacyra et al. Nov 1999 A
5991011 Damm Nov 1999 A
5996790 Yamada et al. Dec 1999 A
5997779 Potter Dec 1999 A
6040898 Mrosik et al. Mar 2000 A
D423534 Raab et al. Apr 2000 S
6050615 Weinhold Apr 2000 A
6057915 Squire et al. May 2000 A
6060889 Hocker May 2000 A
6067116 Yamano et al. May 2000 A
6069700 Rudnick et al. May 2000 A
6077306 Metzger et al. Jun 2000 A
6112423 Sheehan Sep 2000 A
6115511 Sakai et al. Sep 2000 A
6125337 Rosenberg et al. Sep 2000 A
6131299 Raab et al. Oct 2000 A
6134507 Markey, Jr. et al. Oct 2000 A
6138915 Danielson et al. Oct 2000 A
6149112 Thieltges Nov 2000 A
6151789 Raab et al. Nov 2000 A
6163294 Talbot Dec 2000 A
6166504 Iida et al. Dec 2000 A
6166809 Pettersen et al. Dec 2000 A
6166811 Long et al. Dec 2000 A
6204651 Marcus et al. Mar 2001 B1
6204961 Anderson et al. Mar 2001 B1
6219928 Raab et al. Apr 2001 B1
D441632 Raab et al. May 2001 S
6240651 Schroeder et al. Jun 2001 B1
6253458 Raab et al. Jul 2001 B1
6282195 Miller et al. Aug 2001 B1
6285390 Blake Sep 2001 B1
6298569 Raab et al. Oct 2001 B1
6339410 Milner et al. Jan 2002 B1
6349249 Cunningham Feb 2002 B1
6366831 Raab Apr 2002 B1
6408252 De Smet Jun 2002 B1
6418774 Brogaardh et al. Jul 2002 B1
6438507 Imai Aug 2002 B1
6438856 Kaczynski Aug 2002 B1
6442419 Chu et al. Aug 2002 B1
6445446 Kumagai et al. Sep 2002 B1
6460004 Greer et al. Oct 2002 B2
6470584 Stoodley Oct 2002 B1
6477784 Schroeder et al. Nov 2002 B2
6480270 Studnicka et al. Nov 2002 B1
6483106 Ohtomo et al. Nov 2002 B1
6497394 Dunchock Dec 2002 B1
6504602 Hinderling Jan 2003 B1
6512575 Marchi Jan 2003 B1
6519860 Bieg et al. Feb 2003 B1
D472824 Raab et al. Apr 2003 S
6547397 Kaufman et al. Apr 2003 B1
6598306 Eaton Jul 2003 B2
6611346 Granger Aug 2003 B2
6611617 Crampton Aug 2003 B1
D479544 Raab et al. Sep 2003 S
6612044 Raab et al. Sep 2003 B2
6621065 Fukumoto et al. Sep 2003 B1
6626339 Gates et al. Sep 2003 B2
6633051 Holloway et al. Oct 2003 B1
6649208 Rodgers Nov 2003 B2
6650402 Sullivan et al. Nov 2003 B2
6668466 Bieg et al. Dec 2003 B1
6675122 Markendorf et al. Jan 2004 B1
6681495 Masayuki et al. Jan 2004 B2
6710859 Shirai et al. Mar 2004 B2
D490831 Raab et al. Jun 2004 S
D491210 Raab et al. Jun 2004 S
6750873 Bernardini et al. Jun 2004 B1
6753876 Brooksby et al. Jun 2004 B2
6759649 Hipp Jul 2004 B2
6759979 Vashisth et al. Jul 2004 B2
6764185 Beardsley et al. Jul 2004 B1
6789327 Roth et al. Sep 2004 B2
6820346 Raab et al. Nov 2004 B2
6822749 Christoph Nov 2004 B1
6825923 Hamar et al. Nov 2004 B2
6826664 Hocker, III et al. Nov 2004 B2
6847436 Bridges Jan 2005 B2
6856381 Christoph Feb 2005 B2
6858836 Hartrumpf Feb 2005 B1
6859269 Ohtomo et al. Feb 2005 B2
6862097 Yanagisawa et al. Mar 2005 B2
6868359 Raab Mar 2005 B2
6879933 Steffey et al. Apr 2005 B2
6889903 Koenck May 2005 B1
6892465 Raab et al. May 2005 B2
6894767 Ishinabe et al. May 2005 B2
6895347 Dorny et al. May 2005 B2
6901673 Cobb et al. Jun 2005 B1
6904691 Raab et al. Jun 2005 B2
6914678 Ulrichsen et al. Jul 2005 B1
6917415 Gogolla et al. Jul 2005 B2
6920697 Raab et al. Jul 2005 B2
6925722 Raab et al. Aug 2005 B2
6931745 Granger Aug 2005 B2
6935036 Raab et al. Aug 2005 B2
6935748 Kaufman et al. Aug 2005 B2
6948255 Russell Sep 2005 B2
6957496 Raab et al. Oct 2005 B2
6965843 Raab et al. Nov 2005 B2
6973734 Raab et al. Dec 2005 B2
6988322 Raab et al. Jan 2006 B2
6989890 Riegl et al. Jan 2006 B2
7003892 Eaton et al. Feb 2006 B2
7006084 Buss et al. Feb 2006 B1
7024032 Kidd et al. Apr 2006 B2
7029126 Tang Apr 2006 B2
7032321 Raab et al. Apr 2006 B2
7040136 Forss et al. May 2006 B2
7051447 Kikuchi et al. May 2006 B2
7069124 Whittaker et al. Jun 2006 B1
7076420 Snyder et al. Jul 2006 B1
7106421 Matsuura et al. Sep 2006 B2
7117107 Dorny et al. Oct 2006 B2
7120092 del Prado Pavon et al. Oct 2006 B2
7127822 Kumagai et al. Oct 2006 B2
7136153 Mori et al. Nov 2006 B2
7140213 Feucht et al. Nov 2006 B2
7142289 Ando et al. Nov 2006 B2
7145926 Vitruk et al. Dec 2006 B2
7152456 Eaton Dec 2006 B2
7174651 Raab et al. Feb 2007 B2
7180072 Persi et al. Feb 2007 B2
7184047 Crampton Feb 2007 B1
7190465 Froehlich et al. Mar 2007 B2
7191541 Weekers et al. Mar 2007 B1
7193690 Ossig et al. Mar 2007 B2
7196509 Teng Mar 2007 B2
7199872 Van Cranenbroeck Apr 2007 B2
7200246 Cofer et al. Apr 2007 B2
7202941 Munro Apr 2007 B2
7230689 Lau Jun 2007 B2
7242590 Yeap et al. Jul 2007 B1
7246030 Raab et al. Jul 2007 B2
7249421 MacManus et al. Jul 2007 B2
7256899 Faul et al. Aug 2007 B1
7269910 Raab et al. Sep 2007 B2
D551943 Hodjat et al. Oct 2007 S
7285793 Husted Oct 2007 B2
7296364 Seitz et al. Nov 2007 B2
7296955 Dreier Nov 2007 B2
7296979 Raab et al. Nov 2007 B2
7306339 Kaufman et al. Dec 2007 B2
7307701 Hoffman, II Dec 2007 B2
7312862 Zumbrunn et al. Dec 2007 B2
7313264 Crampton Dec 2007 B2
D559657 Wohlford et al. Jan 2008 S
7319512 Ohtomo et al. Jan 2008 B2
7330242 Reichert et al. Feb 2008 B2
7337344 Barman et al. Feb 2008 B2
7342650 Kern et al. Mar 2008 B2
7348822 Baer Mar 2008 B2
7352446 Bridges et al. Apr 2008 B2
7360648 Blaschke Apr 2008 B1
7372558 Kaufman et al. May 2008 B2
7372581 Raab et al. May 2008 B2
7383638 Granger Jun 2008 B2
7388654 Raab et al. Jun 2008 B2
7389870 Slappay Jun 2008 B2
7395606 Crampton Jul 2008 B2
7400384 Evans et al. Jul 2008 B1
7403269 Yamashita et al. Jul 2008 B2
7430068 Becker et al. Sep 2008 B2
7430070 Soreide et al. Sep 2008 B2
7441341 Eaton Oct 2008 B2
7443555 Blug et al. Oct 2008 B2
7447931 Rischar et al. Nov 2008 B1
7449876 Pleasant et al. Nov 2008 B2
7454265 Marsh Nov 2008 B2
7463368 Morden et al. Dec 2008 B2
7477359 England et al. Jan 2009 B2
7480037 Palmateer et al. Jan 2009 B2
7508496 Mettenleiter et al. Mar 2009 B2
7508971 Vaccaro et al. Mar 2009 B2
7515256 Ohtomo et al. Apr 2009 B2
7525276 Eaton Apr 2009 B2
7527205 Zhu et al. May 2009 B2
7528768 Wakayama et al. May 2009 B2
7541830 Fahrbach et al. Jun 2009 B2
7545517 Rueb et al. Jun 2009 B2
7546689 Ferrari et al. Jun 2009 B2
7551771 England, III Jun 2009 B2
7552644 Haase et al. Jun 2009 B2
7557824 Holliman Jul 2009 B2
7561598 Stratton et al. Jul 2009 B2
7564250 Hocker Jul 2009 B2
7568293 Ferrari Aug 2009 B2
7578069 Eaton Aug 2009 B2
D599226 Gerent et al. Sep 2009 S
7589595 Cutler Sep 2009 B2
7589825 Orchard et al. Sep 2009 B2
7591077 Pettersson Sep 2009 B2
7591078 Crampton Sep 2009 B2
7599106 Matsumoto et al. Oct 2009 B2
7600061 Honda Oct 2009 B2
7602873 Eidson Oct 2009 B2
7604207 Hasloecher et al. Oct 2009 B2
7610175 Eidson Oct 2009 B2
7614157 Granger Nov 2009 B2
7624510 Ferrari Dec 2009 B2
7625335 Deichmann et al. Dec 2009 B2
7626690 Kumagai et al. Dec 2009 B2
D607350 Cooduvalli et al. Jan 2010 S
7656751 Rischar et al. Feb 2010 B2
7659995 Knighton et al. Feb 2010 B2
D610926 Gerent et al. Mar 2010 S
7693325 Pulla et al. Apr 2010 B2
7697748 Dimsdale et al. Apr 2010 B2
7701592 Saint Clair et al. Apr 2010 B2
7712224 Hicks May 2010 B2
7721396 Fleischman May 2010 B2
7728833 Verma et al. Jun 2010 B2
7728963 Kirschner Jun 2010 B2
7733544 Becker et al. Jun 2010 B2
7735234 Briggs et al. Jun 2010 B2
7743524 Eaton et al. Jun 2010 B2
7752003 MacManus Jul 2010 B2
7756615 Barfoot et al. Jul 2010 B2
7765707 Tomelleri Aug 2010 B2
7769559 Reichert Aug 2010 B2
7774949 Ferrari Aug 2010 B2
7779548 Ferrari Aug 2010 B2
7779553 Jordil et al. Aug 2010 B2
7784194 Raab et al. Aug 2010 B2
7787670 Urushiya Aug 2010 B2
7793425 Bailey Sep 2010 B2
7798453 Maningo et al. Sep 2010 B2
7800758 Bridges et al. Sep 2010 B1
7804602 Raab Sep 2010 B2
7805851 Pettersson Oct 2010 B2
7805854 Eaton Oct 2010 B2
7809518 Zhu et al. Oct 2010 B2
7834985 Morcom Nov 2010 B2
7847922 Gittinger et al. Dec 2010 B2
RE42055 Raab Jan 2011 E
7869005 Ossig et al. Jan 2011 B2
RE42082 Raab et al. Feb 2011 E
7881896 Atwell et al. Feb 2011 B2
7889324 Yamamoto Feb 2011 B2
7891248 Hough et al. Feb 2011 B2
7900714 Milbourne et al. Mar 2011 B2
7903245 Miousset et al. Mar 2011 B2
7903261 Saint Clair et al. Mar 2011 B2
7908757 Ferrari Mar 2011 B2
7933055 Jensen et al. Apr 2011 B2
7935928 Seger et al. May 2011 B2
7965747 Kumano Jun 2011 B2
7982866 Vogel Jul 2011 B2
D643319 Ferrari et al. Aug 2011 S
7990397 Bukowski et al. Aug 2011 B2
7994465 Bamji et al. Aug 2011 B1
7995834 Knighton et al. Aug 2011 B1
8001697 Danielson et al. Aug 2011 B2
8020657 Allard et al. Sep 2011 B2
8022812 Beniyama et al. Sep 2011 B2
8028432 Bailey et al. Oct 2011 B2
8036775 Matsumoto et al. Oct 2011 B2
8045762 Otani et al. Oct 2011 B2
8051710 Van Dam et al. Nov 2011 B2
8052857 Townsend Nov 2011 B2
8064046 Ossig et al. Nov 2011 B2
8065861 Caputo Nov 2011 B2
8082673 Desforges et al. Dec 2011 B2
8099877 Champ Jan 2012 B2
8117668 Crampton et al. Feb 2012 B2
8123350 Cannell et al. Feb 2012 B2
8152071 Doherty et al. Apr 2012 B2
D659035 Ferrari et al. May 2012 S
8171650 York et al. May 2012 B2
8179936 Bueche et al. May 2012 B2
D662427 Bailey et al. Jun 2012 S
8218131 Otani et al. Jul 2012 B2
8224032 Fuchs et al. Jul 2012 B2
8260483 Barfoot et al. Sep 2012 B2
8269984 Hinderling et al. Sep 2012 B2
8276286 Bailey et al. Oct 2012 B2
8284407 Briggs et al. Oct 2012 B2
8310653 Ogawa et al. Nov 2012 B2
8321612 Hartwich et al. Nov 2012 B2
8346392 Walser et al. Jan 2013 B2
8346480 Trepagnier et al. Jan 2013 B2
8352212 Fetter et al. Jan 2013 B2
8353059 Crampton et al. Jan 2013 B2
D676341 Bailey et al. Feb 2013 S
8379191 Braunecker et al. Feb 2013 B2
8381704 Debelak et al. Feb 2013 B2
8384914 Becker et al. Feb 2013 B2
D678085 Bailey et al. Mar 2013 S
8391565 Purcell et al. Mar 2013 B2
8402669 Ferrari et al. Mar 2013 B2
8422035 Hinderling et al. Apr 2013 B2
8497901 Pettersson Jul 2013 B2
8533967 Bailey et al. Sep 2013 B2
8537374 Briggs et al. Sep 2013 B2
8619265 Steffey et al. Dec 2013 B2
8645022 Yoshimura et al. Feb 2014 B2
8659748 Dakin et al. Feb 2014 B2
8659752 Cramer et al. Feb 2014 B2
8661700 Briggs et al. Mar 2014 B2
8677643 Bridges et al. Mar 2014 B2
8683709 York Apr 2014 B2
8699007 Becker et al. Apr 2014 B2
8705012 Greiner et al. Apr 2014 B2
8705016 Schumann et al. Apr 2014 B2
8718837 Wang et al. May 2014 B2
8784425 Ritchey et al. Jul 2014 B2
8797552 Suzuki et al. Aug 2014 B2
8830485 Woloschyn Sep 2014 B2
20010004269 Shibata et al. Jun 2001 A1
20020032541 Raab et al. Mar 2002 A1
20020059042 Kacyra et al. May 2002 A1
20020087233 Raab Jul 2002 A1
20020128790 Woodmansee Sep 2002 A1
20020143506 D'Aligny et al. Oct 2002 A1
20020149694 Seo Oct 2002 A1
20020170192 Steffey et al. Nov 2002 A1
20020176097 Rodgers Nov 2002 A1
20030002055 Kilthau et al. Jan 2003 A1
20030033104 Gooche Feb 2003 A1
20030043386 Froehlich et al. Mar 2003 A1
20030053037 Blaesing-Bangert et al. Mar 2003 A1
20030066954 Hipp Apr 2003 A1
20030090646 Riegl et al. May 2003 A1
20030125901 Steffey et al. Jul 2003 A1
20030137449 Vashisth et al. Jul 2003 A1
20030142631 Silvester Jul 2003 A1
20030172536 Raab et al. Sep 2003 A1
20030172537 Raab et al. Sep 2003 A1
20030179361 Ohtomo et al. Sep 2003 A1
20030208919 Raab et al. Nov 2003 A1
20040004727 Yanagisawa et al. Jan 2004 A1
20040022416 Lemelson et al. Feb 2004 A1
20040027554 Ishinabe et al. Feb 2004 A1
20040040166 Raab et al. Mar 2004 A1
20040135990 Ohtomo et al. Jul 2004 A1
20040139265 Hocker, III et al. Jul 2004 A1
20040158355 Holmqvist et al. Aug 2004 A1
20040162700 Rosenberg et al. Aug 2004 A1
20040179570 Vitruk et al. Sep 2004 A1
20040221790 Sinclair et al. Nov 2004 A1
20040246462 Kaneko et al. Dec 2004 A1
20040259533 Nixon et al. Dec 2004 A1
20050024625 Mori et al. Feb 2005 A1
20050028393 Raab et al. Feb 2005 A1
20050046823 Ando et al. Mar 2005 A1
20050058332 Kaufman et al. Mar 2005 A1
20050082262 Rueb et al. Apr 2005 A1
20050085940 Griggs et al. Apr 2005 A1
20050111514 Matsumoto et al. May 2005 A1
20050141052 Becker et al. Jun 2005 A1
20050144799 Raab et al. Jul 2005 A1
20050150123 Eaton Jul 2005 A1
20050151963 Pulla et al. Jul 2005 A1
20050166413 Crampton Aug 2005 A1
20050172503 Kumagai et al. Aug 2005 A1
20050188557 Raab et al. Sep 2005 A1
20050190384 Persi et al. Sep 2005 A1
20050259271 Christoph Nov 2005 A1
20050276466 Vaccaro et al. Dec 2005 A1
20050283989 Pettersson Dec 2005 A1
20060016086 Raab et al. Jan 2006 A1
20060017720 Li Jan 2006 A1
20060026851 Raab et al. Feb 2006 A1
20060028203 Kawashima et al. Feb 2006 A1
20060053647 Raab et al. Mar 2006 A1
20060056459 Stratton et al. Mar 2006 A1
20060056559 Pleasant et al. Mar 2006 A1
20060059270 Pleasant et al. Mar 2006 A1
20060061566 Verma et al. Mar 2006 A1
20060088044 Hammerl et al. Apr 2006 A1
20060096108 Raab et al. May 2006 A1
20060103853 Palmateer May 2006 A1
20060109536 Mettenleiter et al. May 2006 A1
20060123649 Muller Jun 2006 A1
20060129349 Raab et al. Jun 2006 A1
20060132803 Clair et al. Jun 2006 A1
20060145703 Steinbichler et al. Jul 2006 A1
20060169050 Kobayashi et al. Aug 2006 A1
20060169608 Carnevali et al. Aug 2006 A1
20060170870 Kaufman et al. Aug 2006 A1
20060186301 Dozier et al. Aug 2006 A1
20060193521 England, III et al. Aug 2006 A1
20060241791 Pokorny et al. Oct 2006 A1
20060245717 Ossig et al. Nov 2006 A1
20060279246 Hashimoto et al. Dec 2006 A1
20060282574 Zotov et al. Dec 2006 A1
20060287769 Yanagita et al. Dec 2006 A1
20060291970 Granger Dec 2006 A1
20070019212 Gatsios et al. Jan 2007 A1
20070030841 Lee et al. Feb 2007 A1
20070043526 De Jonge et al. Feb 2007 A1
20070050774 Eldson et al. Mar 2007 A1
20070055806 Stratton et al. Mar 2007 A1
20070058154 Reichert et al. Mar 2007 A1
20070058162 Granger Mar 2007 A1
20070064976 England, III Mar 2007 A1
20070097382 Granger May 2007 A1
20070100498 Matsumoto et al. May 2007 A1
20070105238 Mandl et al. May 2007 A1
20070118269 Gibson et al. May 2007 A1
20070122250 Mullner May 2007 A1
20070142970 Burbank et al. Jun 2007 A1
20070147265 Eidson et al. Jun 2007 A1
20070147435 Hamilton et al. Jun 2007 A1
20070147562 Eidson Jun 2007 A1
20070150111 Wu et al. Jun 2007 A1
20070151390 Blumenkranz et al. Jul 2007 A1
20070153297 Lau Jul 2007 A1
20070163134 Eaton Jul 2007 A1
20070163136 Eaton et al. Jul 2007 A1
20070171394 Steiner et al. Jul 2007 A1
20070176648 Baer Aug 2007 A1
20070177016 Wu Aug 2007 A1
20070181685 Zhu et al. Aug 2007 A1
20070183459 Eidson Aug 2007 A1
20070185682 Eidson Aug 2007 A1
20070217169 Yeap et al. Sep 2007 A1
20070221522 Yamada et al. Sep 2007 A1
20070223477 Eidson Sep 2007 A1
20070229929 Soreide et al. Oct 2007 A1
20070247615 Bridges et al. Oct 2007 A1
20070248122 Hamilton Oct 2007 A1
20070256311 Ferrari Nov 2007 A1
20070257660 Pleasant et al. Nov 2007 A1
20070258378 Hamilton Nov 2007 A1
20070282564 Sprague et al. Dec 2007 A1
20070294045 Atwell et al. Dec 2007 A1
20080046221 Stathis Feb 2008 A1
20080052808 Leick et al. Mar 2008 A1
20080052936 Briggs et al. Mar 2008 A1
20080066583 Lott et al. Mar 2008 A1
20080068103 Cutler Mar 2008 A1
20080075325 Otani et al. Mar 2008 A1
20080075326 Otani et al. Mar 2008 A1
20080080562 Burch et al. Apr 2008 A1
20080098272 Fairbanks et al. Apr 2008 A1
20080148585 Raab et al. Jun 2008 A1
20080179206 Feinstein et al. Jul 2008 A1
20080183065 Goldbach Jul 2008 A1
20080196260 Pettersson Aug 2008 A1
20080204699 Benz et al. Aug 2008 A1
20080216552 Ibach et al. Sep 2008 A1
20080228331 McNerney et al. Sep 2008 A1
20080235969 Jordil et al. Oct 2008 A1
20080235970 Crampton Oct 2008 A1
20080240321 Narus et al. Oct 2008 A1
20080245452 Law et al. Oct 2008 A1
20080246943 Kaufman et al. Oct 2008 A1
20080252671 Cannell et al. Oct 2008 A1
20080257023 Jordil et al. Oct 2008 A1
20080263411 Baney et al. Oct 2008 A1
20080271332 Jordil et al. Nov 2008 A1
20080273758 Fuchs et al. Nov 2008 A1
20080282564 Pettersson Nov 2008 A1
20080295349 Uhl et al. Dec 2008 A1
20080298254 Eidson Dec 2008 A1
20080302200 Tobey Dec 2008 A1
20080309460 Jefferson et al. Dec 2008 A1
20080309546 Wakayama et al. Dec 2008 A1
20090000136 Crampton Jan 2009 A1
20090010740 Ferrari et al. Jan 2009 A1
20090013548 Ferrari Jan 2009 A1
20090016475 Rischar et al. Jan 2009 A1
20090021351 Beniyama et al. Jan 2009 A1
20090031575 Tomelleri Feb 2009 A1
20090046140 Lashmet et al. Feb 2009 A1
20090046752 Bueche et al. Feb 2009 A1
20090046895 Pettersson et al. Feb 2009 A1
20090049704 Styles et al. Feb 2009 A1
20090051938 Miousset et al. Feb 2009 A1
20090083985 Ferrari Apr 2009 A1
20090089004 Vook et al. Apr 2009 A1
20090089078 Bursey Apr 2009 A1
20090089233 Gach et al. Apr 2009 A1
20090089623 Neering et al. Apr 2009 A1
20090095047 Patel et al. Apr 2009 A1
20090100949 Shirai et al. Apr 2009 A1
20090109797 Eidson Apr 2009 A1
20090113183 Barford et al. Apr 2009 A1
20090113229 Cataldo et al. Apr 2009 A1
20090122805 Epps et al. May 2009 A1
20090125196 Velazquez et al. May 2009 A1
20090133276 Bailey et al. May 2009 A1
20090133494 Van Dam et al. May 2009 A1
20090139105 Granger Jun 2009 A1
20090157419 Bursey Jun 2009 A1
20090161091 Yamamoto Jun 2009 A1
20090165317 Little Jul 2009 A1
20090177435 Heininen Jul 2009 A1
20090177438 Raab Jul 2009 A1
20090185741 Nahari et al. Jul 2009 A1
20090187373 Atwell Jul 2009 A1
20090241360 Tait et al. Oct 2009 A1
20090249634 Pettersson Oct 2009 A1
20090265946 Jordil et al. Oct 2009 A1
20090273771 Gittinger et al. Nov 2009 A1
20090299689 Stubben et al. Dec 2009 A1
20090322859 Shelton et al. Dec 2009 A1
20090323121 Valkenburg et al. Dec 2009 A1
20090323742 Kumano Dec 2009 A1
20100030421 Yoshimura et al. Feb 2010 A1
20100040742 Dijkhuis et al. Feb 2010 A1
20100049891 Hartwich et al. Feb 2010 A1
20100057392 York Mar 2010 A1
20100078866 Pettersson Apr 2010 A1
20100095542 Ferrari Apr 2010 A1
20100122920 Butter et al. May 2010 A1
20100134596 Becker Jun 2010 A1
20100135534 Weston et al. Jun 2010 A1
20100148013 Bhotika et al. Jun 2010 A1
20100188504 Dimsdale et al. Jul 2010 A1
20100195086 Ossig et al. Aug 2010 A1
20100207938 Yau et al. Aug 2010 A1
20100208062 Pettersson Aug 2010 A1
20100208318 Jensen et al. Aug 2010 A1
20100245851 Teodorescu Sep 2010 A1
20100277472 Kaltenbach et al. Nov 2010 A1
20100277747 Rueb et al. Nov 2010 A1
20100281705 Verdi et al. Nov 2010 A1
20100286941 Merlot Nov 2010 A1
20100312524 Siercks et al. Dec 2010 A1
20100318319 Maierhofer Dec 2010 A1
20100325907 Tait Dec 2010 A1
20110000095 Carlson Jan 2011 A1
20110001958 Bridges et al. Jan 2011 A1
20110007305 Bridges et al. Jan 2011 A1
20110007326 Daxauer et al. Jan 2011 A1
20110013199 Siercks et al. Jan 2011 A1
20110019155 Daniel et al. Jan 2011 A1
20110023578 Grasser Feb 2011 A1
20110025905 Tanaka Feb 2011 A1
20110043515 Stathis Feb 2011 A1
20110066781 Debelak et al. Mar 2011 A1
20110094908 Trieu et al. Apr 2011 A1
20110107611 Desforges et al. May 2011 A1
20110107612 Ferrari et al. May 2011 A1
20110107613 Tait May 2011 A1
20110107614 Champ May 2011 A1
20110111849 Sprague et al. May 2011 A1
20110112786 Desforges et al. May 2011 A1
20110119025 Fetter et al. May 2011 A1
20110123097 Van Coppenolle et al. May 2011 A1
20110164114 Kobayashi et al. Jul 2011 A1
20110169924 Haisty et al. Jul 2011 A1
20110173823 Bailey et al. Jul 2011 A1
20110173827 Bailey et al. Jul 2011 A1
20110173828 York Jul 2011 A1
20110178755 York Jul 2011 A1
20110178758 Atwell et al. Jul 2011 A1
20110178762 York Jul 2011 A1
20110178764 York Jul 2011 A1
20110178765 Atwell et al. Jul 2011 A1
20110192043 Ferrari et al. Aug 2011 A1
20110273568 Lagassey et al. Nov 2011 A1
20110282622 Canter et al. Nov 2011 A1
20110288684 Farlow et al. Nov 2011 A1
20120019806 Becker et al. Jan 2012 A1
20120035788 Trepagnier et al. Feb 2012 A1
20120035798 Barfoot et al. Feb 2012 A1
20120044476 Earhart et al. Feb 2012 A1
20120046820 Allard et al. Feb 2012 A1
20120069325 Schumann et al. Mar 2012 A1
20120069352 Ossig et al. Mar 2012 A1
20120070077 Ossig et al. Mar 2012 A1
20120113913 Tiirola et al. May 2012 A1
20120140244 Gittinger et al. Jun 2012 A1
20120154786 Gosch et al. Jun 2012 A1
20120155744 Kennedy et al. Jun 2012 A1
20120169876 Reichert et al. Jul 2012 A1
20120181194 McEwan et al. Jul 2012 A1
20120197439 Wang et al. Aug 2012 A1
20120210678 Alcouloumre et al. Aug 2012 A1
20120217357 Franke Aug 2012 A1
20120229788 Schumann et al. Sep 2012 A1
20120260512 Kretschmer et al. Oct 2012 A1
20120260611 Jones et al. Oct 2012 A1
20120262700 Schumann et al. Oct 2012 A1
20120287265 Schumann et al. Nov 2012 A1
20130010307 Greiner et al. Jan 2013 A1
20130025143 Bailey et al. Jan 2013 A1
20130025144 Briggs et al. Jan 2013 A1
20130027515 Vinther et al. Jan 2013 A1
20130062243 Chang et al. Mar 2013 A1
20130070250 Ditte et al. Mar 2013 A1
20130094024 Ruhland et al. Apr 2013 A1
20130097882 Bridges et al. Apr 2013 A1
20130125408 Atwell et al. May 2013 A1
20130162472 Najim et al. Jun 2013 A1
20130201487 Ossig et al. Aug 2013 A1
20130205606 Briggs et al. Aug 2013 A1
20130212889 Bridges et al. Aug 2013 A9
20130222816 Briggs et al. Aug 2013 A1
20130239424 Tait Sep 2013 A1
20130300740 Snyder et al. Nov 2013 A1
20140002608 Atwell et al. Jan 2014 A1
20140012409 McMurtry et al. Jan 2014 A1
20140049784 Woloschyn et al. Feb 2014 A1
20140202016 Bridges et al. Jul 2014 A1
20140240690 Newman et al. Aug 2014 A1
20140259715 Engel Sep 2014 A1
20140268108 Grau Sep 2014 A1
20150002659 Atwell et al. Jan 2015 A1
Foreign Referenced Citations (103)
Number Date Country
101024286 Aug 2007 CN
101156043 Apr 2008 CN
10026357 Jan 2002 DE
10137241 Sep 2002 DE
10155488 May 2003 DE
10219054 Nov 2003 DE
10326848 Jan 2005 DE
10361870 Jul 2005 DE
102004015668 Sep 2005 DE
102004015111 Oct 2005 DE
102004028090 Dec 2005 DE
10114126 Aug 2006 DE
102004010083 Nov 2006 DE
102005036929 Feb 2007 DE
102005060967 Jun 2007 DE
102006023902 Nov 2007 DE
102006024534 Nov 2007 DE
102006035292 Jan 2008 DE
102007037162 Feb 2009 DE
102008039838 Mar 2010 DE
102008062763 Jul 2010 DE
102009001894 Sep 2010 DE
102012109481 Apr 2014 DE
0546784 Jun 1993 EP
0667549 Aug 1995 EP
0727642 Aug 1996 EP
0767357 May 2002 EP
2023077 Feb 2009 EP
894320 Apr 1962 GB
1112941 May 1968 GB
2255648 Nov 1992 GB
2336493 Oct 1999 GB
2341203 Mar 2000 GB
2388661 Nov 2003 GB
2420241 May 2006 GB
2447258 Sep 2008 GB
2452033 Feb 2009 GB
0357911 Mar 1991 JP
04115108 Apr 1992 JP
04225188 Aug 1992 JP
04267214 Sep 1992 JP
0572477 Mar 1993 JP
06313710 Nov 1994 JP
06331733 Dec 1994 JP
06341838 Dec 1994 JP
074950 Jan 1995 JP
07128051 May 1995 JP
07229963 Aug 1995 JP
0815413 Jan 1996 JP
0821714 Jan 1996 JP
08129145 May 1996 JP
08136849 Jun 1996 JP
08262140 Oct 1996 JP
09021868 Jan 1997 JP
10213661 Aug 1998 JP
8801924 Mar 1988 WO
0014474 Mar 2000 WO
0020880 Apr 2000 WO
0034733 Jun 2000 WO
0063681 Oct 2000 WO
0177613 Oct 2001 WO
02101323 Dec 2002 WO
2004096502 Nov 2004 WO
2005072917 Aug 2005 WO
2005075875 Aug 2005 WO
2005100908 Oct 2005 WO
2006014445 Feb 2006 WO
2006051264 May 2006 WO
2007002319 Jan 2007 WO
2007051972 May 2007 WO
2007118478 Oct 2007 WO
2007144906 Dec 2007 WO
2008019856 Feb 2008 WO
2008027588 Mar 2008 WO
2008047171 Apr 2008 WO
2008052348 May 2008 WO
2008064276 May 2008 WO
2008066896 Jun 2008 WO
2008068791 Jun 2008 WO
2008075170 Jun 2008 WO
2009001165 Dec 2008 WO
2009016185 Feb 2009 WO
2009127526 Oct 2009 WO
2009130169 Oct 2009 WO
2009149740 Dec 2009 WO
2010040742 Apr 2010 WO
2010092131 Aug 2010 WO
2010108089 Sep 2010 WO
2010148525 Dec 2010 WO
2011000955 Jan 2011 WO
2011021103 Feb 2011 WO
2011029140 Mar 2011 WO
2011057130 May 2011 WO
2011002908 Jun 2011 WO
2011090829 Jul 2011 WO
2011090895 Jul 2011 WO
2012037157 Mar 2012 WO
2012038446 Mar 2012 WO
2012013525 Aug 2012 WO
2012112683 Aug 2012 WO
2013188026 Dec 2013 WO
2013190031 Dec 2013 WO
2014128498 Aug 2014 WO
Non-Patent Literature Citations (65)
Entry
Bouvet, D., et al., “Precise 3-D Localization by Automatic Laser Theodolite an Odometer for Civil-Engineering Machines”, Proceedings of the 2001 IEEE International Conference on Robotics and Automation. ICRA 2001. Seoul, Korea, May 21-26, 2001; IEEE, US.
Brenneke, C., et al., “Using 3D Laser Range Data for Slam in Outdoor Environments”, Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems. (IROS 2003); Las Vegas, NV, Oct. 27-31, 2003; [IEEE/RSJ International Confer.
Cho, et al., Implementation of a Precision Time Protocol over Low Rate Wireless Personal Area Networks, IEEE, 2008.
Cooklev, et al., An Implementation of IEEE 1588 Over IEEE 802.11b for Syncrhonization of Wireless Local Area Network Nodes, IEEE Transactions on Instrumentation and Measurement, vol. 56, No. 5, Oct. 2007.
Decision Revoking the European Patent (Art. 101(3)(b) EPC) dated Aug. 14, 2013, filed in Opposition re Application No. 07 785 873.6/Patent No. 2 062 069, Proprietor: Faro Technologies, Inc., filed by Leica Geosystem AG on Feb. 5, 2013, 12 pages.
Elstrom, M.D., Stereo-Based Registration of LADAR and Color Imagery, Part of SPIE Conference on Intelligent Robots and Computer Vision XVII: Algorithms, Techniques, and Active Vision, Boston, MA, Nov. 1998, SPIE vol. 3522, 0277-786X/98.
EO Edmund Optics “Silicon Detectors” (5 pages) 2013 Edmund Optics, Inc. http://www.edmundoptics.com/electro-optics/detector-components/silicon-detectors/1305[Oct. 15, 2013 10:14:53 AM].
Patrick Willoughby; “Elastically Averaged Precision Aligment”; In: “Doctoral Thesis”; Jun. 1, 2005; Massachusetts Institute of Technology; XP55005620; Abstract 1.1 Motivation; Chapter 3, Chapter 6.
FARO Laserscanner LS, Presentation Forensic Package, Policeschool of Hessen, Wiesbaden, Germany, Dec. 14, 2005; FARO Technologies, Copyright 2008.
FARO Product Catalog; Faro Arm; 68 pages; FARO Technologies Inc. 2009; printed Aug. 3, 2009.
Franklin, Paul F., What IEEE 1588 Means for Your Next T&M System Design, Keithley Instruments, Inc., [on-line] Oct. 19, 2010, http://www.eetimes.com/General/DisplayPrintViewContent?contentItemId=4209746, [Retreived Oct. 21, 2010].
Gebre, et al. “Remotely Operated and Autonomous Mapping System (ROAMS).” Technologies for Practical Robot Applications, 2009. Tepra 2009. IEEE International Conference on IEEE, Piscataway, NJ, USA. Nov. 9, 2009, pp. 173-178.
GHOST 3D Systems, Authorized MicroScribe Solution, FAQs—MicroScribe 3D Laser, MicroScan Tools, & related info, [online], [retrieved Nov. 29, 2011], http://microscribe.ghost3d.com/gt—microscan-3d—faqs.htm.
Godin, G., et al., A Method for the Registration of Attributed Range Images, Copyright 2001, [Retrieved on Jan. 18, 2010 at 03:29 from IEEE Xplore].
Haag, et al., “Technical Overview and Application of 3D Laser Scanning for Shooting Reconstruction and Crime Scene Investigations”, Presented at the American Academy of Forensic Sciences Scientific Meeting, Washington, D.C., Feb. 21, 2008.
Horn, B.K.P., Closed-Form Solution of Absolute Orientation Using Unit Quaternions, J. Opt. Soc. Am. A., vol. 4., No. 4, Apr. 1987, pp. 629-642, ISSN 0740-3232.
Howard, et al., “Virtual Environments for Scene of Crime Reconstruction and Analysis”, Advanced Interfaces Group, Department of Computer Science, University of Manchester, Manchester, UK, Feb. 28, 2000.
Huebner, Siegfried F. , “Sniper Shooting Techniques”, “Scharfschutzen-Schiesstechnik”, 1989, with English translation.
HYDROpro Navigation, Hydropgraphic Survey Software, Trimble, www.trimble.com, Copyright 1997-2003.
Information on Electro-Optical Information Systems; EOIS 3D Mini-Moire C.M.M. Sensor for Non-Contact Measuring & Surface Mapping; Direct Dimensions, Jun. 1995.
Ingensand, H., Dr., “Introduction to Geodetic Metrology”, “Einfuhrung in die Geodatische Messtechnik”, Federal Institute of Technology Zurich, 2004, with English translation.
P Ben-Tzvi, et al “Extraction of 3D Images Using Pitch-Actuated 2D Laser Range Finder for Robotic Vision” (6 pages) BNSDOCID <XP 31840390A—1—>, Oct. 15, 2010.
IPRP dated Dec. 18, 2014 corresponding to PCT/US13/041826.
IPRP dated Dec. 24, 2014 corresponding to PCT/US13/040309.
IPRP dated Dec. 24, 2014 corresponding to PCT/US13/040321.
iQsun Laserscanner Brochure, 2 Pages, Apr. 2005.
Jasiobedzki, Piotr, “Laser Eye—A New 3D Sensor for Active Vision”, SPIE—Sensor Fusion VI, vol. 2059, Sep. 7, 1993, pp. 316-321, XP00262856, Boston, U.S.A., Retrieved from the Internet: URL:http://scitation.aip.org/getpdf/servlet/Ge.
Jasperneite, et al., Enhancements to the Time Synchronization Standard IEEE-1588 for a System of Cascaded Bridges, IEEE, 2004.
Jgeng “DLP-Based Structured Light 3D Imaging Technologies and Applications” (15 pages) Emerging Digital Micromirror Device Based Systems and Application III; edited by Michael R. Douglass, Patrick I. Oden, Proc. of SPIE, vol. 7932, 79320B; (2011) SPIE.
Langford, et al., “Practical Skills in Forensic Science”, Pearson Education Limited, Essex, England, First Published 2005, Forensic Chemistry.
Leica Geosystems, FBI Crime Scene Case Study. 2006.
Leica Geosystems, TruStory Forensic Analysis by Albuquerque Police Department, 2006.
Leica Geosystems: “Leica Rugby 55 Designed for Interior Built for Construction”, Jan. 1, 2009, XP002660558, Retrieved from the Internet: URL:http://www.leica-geosystems.com/downloads123/zz/lasers/Rugby%2055/brochures/Leica—Rugby—55—brochure—en.pdf.
Leica TPS800 Performance Series—Equipment List, 2004.
Merriam-Webster (m-w.com), “Interface”. 2012. http://www.merriam-webster.com/dictionary/interface.
Merriam-Webster (m-w.com), “Parts”. 2012. http://www.merriam-webster.com/dictionary/parts.
Merriam-Webster (m-w.com), “Traverse”. 2012. http://www.merriam-webster.com/dictionary/traverse.
MG Lee; “Compact 3D LIDAR based on optically coupled horizontal and vertical Scanning mechanism for the autonomous navigation of robots” (13 pages) vol. 8037; downloaded from http://proceedings.spiedigitallibrary.org/ on Jul. 2, 2013.
Romer “Romer Measuring Arms Portable CMMs for R&D and shop floor” (Mar. 2009) Hexagon Metrology (16 pages).
MOOG Components Group; “Fiber Optic Rotary Joints; Product Guide” (4 pages) Dec. 2010; MOOG, Inc. 2010.
Office Action dated Oct. 24, 2014 corresponding to GB1418273.7.
RW Boyd “Radiometry and the Detection of Otpical Radiation” (pp. 20-23) 1983 Jon wiley & Sons, Inc.
Sauter, et al., Towards New Hybrid Networks for Industrial Automation, IEEE, 2009.
Williams, J.A., et al., Evaluation of a Novel Multiple Point Set Registration Algorithm, Copyright 2000, [Retrieved on Jan. 18, 2010 at 04:10 from IEEE Xplore].
Se, et al., “Instant Scene Modeler for Crime Scene Reconstruction”, MDA, Space Missions, Ontario, Canada, Copyright 2005, IEEE.
Spada, et al., IEEE 1588 Lowers Integration Costs in Continuous Flow Automated Production Lines, XP-002498255, ARC Insights, Insight # 2003-33MD&H, Aug. 20, 2003.
Surman et al. “An autonomous mobile robot with a 3D laser range finder for 3D exploration and digitalization of indoor enviornments.” Robotics and Autonomous Systems vol. 45 No. 3-4, Dec. 31, 2003, pp. 181-198. Amsterdamn, Netherlands.
Trimble—Trimble SPS630, SPS730 and SPS930 Universal Total Stations, [on-line] http://www.trimble.com/sps630—730—930.shtml (1 of 4), [Retreived Jan. 26, 2010 8:50:29AM].
14th International Forensic Science Symposium, Interpol—Lyon, France, Oct. 19-22, 2004, Review Papers, Edited by Dr. Niamh Nic Daeid, Forensic Science Unit, Univeristy of Strathclyde, Glasgow, UK.
A. Hart; “Kinematic Coupling Interchangeability” Precision Engineering; vol. 28, No. 1; Jan. 1, 2004 pp. 1-15.
Akca, Devrim, Full Automated Registration of Laser Scanner Point Clouds, Institute of Geodesy and Photogrammetry, Swiss Federal Institute of Technology, Zuerich, Switzerland; Published Dec. 2003.
Anonymous: So wird's gemacht: Mit T-DSL and Windows XP Home Edition gemeinsam ins Internet (Teil 3) Internet Citation, Jul. 2003, XP002364586, Retrieved from Internet: URL:http://support.microsfot.com/kb/814538/DE/ [retrieved on Jan. 26, 2006].
Bornaz, L., et al., Multiple Scan Registration in Lidar Close-Range Applications, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XXXIV, Part 5/W12, Jul. 2003, pp. 72-77, XP002590306.
Umeda, K., et al., Registration of Range and Color Images Using Gradient Constraints and Ran Intensity Images, Proceedings of the 17th International Conference onPatern Recognition (ICPR'04), Copyright 2010 IEEE. [Retrieved online Jan. 28, 2010—IEEE.
Davidson, A. et al., “MonoSLAM: Real-Time Single Camera SLAM”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, No. 6, Jun. 1, 2007, pp. 1052-1067, XP011179664.
Gebre, Biruk A., et al., “Remotely Operated and Autonomous Mapping System (ROAMS)”, Technologies for Practical Robot Applications, TEPRA 2009, IEEE International Conference on Nov. 9, 2009, pp. 173-178, XP031570394.
Harrison A. et al., “High Quality 3D Laser Ranging Under General Vehicle Motion”, 2008 IEEE International Conference on Robotics and Automation, May 19-23, 2008, pp. 7-12, XP031340123.
May, S. et al., “Robust 3D-Mapping with Time-of-Flight Cameras”, Intelligent Robots and Systems, IROS 2009, IEEE/RSJ International Conference on Oct. 10, 2009, pp. 1673-1678, XP031581042.
Ohno, K. et al., “Real-Time Robot Trajectory Estimation and 3D Map Construction Using 3D Camera”, Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on Oct. 1, 2006, pp. 5279-5285, XP031006974.
Surmann, H. et al., “An Autonomous Mobile Robot with a 3D Laser Range Finder for 3D Exploration and Digitalization of Indoor Environments”, Robotics and Autonomous Systems, Elsevier Science Publishers, vol. 45, No. 3-4, Dec. 31, 2003, pp. 181-198.
Yan, R., et al., “3D Point Cloud Map Construction Based on Line Segments with Two Mutually Perpendicular Laser Sensors”, 2013 13th International Conference on Control, Automation and Systems (ICCAS 2013), IEEE, Oct. 20, 2013, pp. 1114-1116.
Ye, C. et al., “Characterization of a 2-D Laser Scanner for Mobile Robot Obstacle Negotiation” Proceedings/2002 IEEE International Conference on Robotics and Automation, May 11-15, 2012, Washington, D.C., May 1, 2002, pp. 2512-2518, XP009169742.
Office Action for Chinese Application No. 201180004746.4 date Jul. 21, 2015; 1-4 pages.
Office Action for DE Application No. 11 2013 002 824.7 date Jul. 22, 2015; 1-6 pages.
Office Action for DE Application No. 11 2013 003 076.4 date Jul. 23, 2015; 1-7 pages.
Related Publications (1)
Number Date Country
20150075018 A1 Mar 2015 US
Provisional Applications (3)
Number Date Country
61296555 Jan 2010 US
61355279 Jun 2010 US
61351347 Jun 2010 US
Continuation in Parts (3)
Number Date Country
Parent 14223067 Mar 2014 US
Child 14548528 US
Parent 13524028 Jun 2012 US
Child 14223067 US
Parent PCT/US2013/040321 May 2013 US
Child 13524028 US