The disclosure generally relates to methods and apparatuses for creating multiple scan paths for a light detection and ranging (LiDAR) system. More particularly the disclosure relates to a LiDAR system designed to create multiple discrete scan paths.
Light Detection and Ranging (LiDAR) systems, also known as Laser Detection and Ranging (LaDAR) systems, in simplistic form, bounce a beam of light off a distant object and measure the precise amount of time it takes for that beam to return to the sensor.
Bouncing a light beam off of an object allows a LiDAR system to determine the distance to the object based on the speed of light and the time taken by the light to travel the distance to the object and back. In other words, LiDAR systems can be used for calculating how far the light traveled during the very short span of time from when the light beam's pulse left the laser in the system to when the light beam returned to a sensor in the system.
LiDAR systems typically include a deflection element that deflects the light beam in a specified direction before the light beam leaves the system. There are currently a number of methods to deflect the light beam with the deflection element such that the light beam sweeps or scans a path along the ground. One such method of producing this sweep is to use a rotating mirror as the deflection element.
Currently, the rotating mirrors used as deflection elements are typically an element having a cross-section in the form of a regular polygon shape in which all of the sides are the same length, such as a triangle, square, pentagon, hexagon, or other regular polygon shape. These shapes are also known as “extruded polygons” or regular polyhedrons, and can be described as a three-dimensional shape whose faces are regular polygons. The shape of a regular polyhedron may be visualized as a two-dimensional regular polygon that has been lengthened, at ninety degrees from the two-dimensional plane, so that the sides of the regular polygon have a height, forming a three-dimensional shape.
An exemplary conventional deflection element with a regular polyhedron shape is illustrated in
As the light beam hits the surface of one of the sides of the deflection element, a reflective surface, such as a mirror, on the deflection element redirects the light beam along a path. In an aerial LiDAR system, for example one mounted on a satellite or aircraft, the path is typically perpendicular to the direction of travel of the aircraft and is typically aimed directly beneath (nadir to) the capture platform of the aircraft.
However, in some applications, it is desirable to not only acquire a directly nadir scan, but it is also desirable to capture an obliquely aimed scan, adapted to scan the vertical surfaces of buildings, structures, or other vertical objects in the path of travel.
A method and system are disclosed. The problem of creating an obliquely aimed scan with light detection and ranging (LiDAR) systems is addressed through a LiDAR scanning system including a deflection element having a first end and a second end, the light deflection element rotatable and balanced about an axis extending from the first end to the second end, the light deflection element further having at least three sides extending between the first end and the second end, at least two of the three sides having reflective surfaces, wherein at least a first side of the three sides is at a first angle in relation to the axis, and at least a second side of the three sides is at a second angle in relation to the axis, with the first angle being different from the second angle, the light deflection element being rotatable about the axis such that light is deflectable from the reflective surface of the first and second sides, wherein upon actuation of a light source and rotation of the light deflection element, the LiDAR scanning system forms at least a first scan path and a second scan path.
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate one or more implementations described herein and, together with the description, explain these implementations. The drawings are not intended to be drawn to scale, and not every component may be labeled in every drawing. In the drawings:
The following detailed description refers to the accompanying drawings. The same reference numbers in different drawings may identify the same or similar elements.
The mechanisms proposed in this disclosure circumvent the problems described above. The present disclosure describes a light detection and ranging (LiDAR) system and method, the LiDAR system including a extruded polygon with facets with reflective surfaces, at least one the facets angled in relation to an optical axis.
As used herein, the terms “comprises,” “comprising,” “includes,” “including,” “has,” “having” or any other variation thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, article, or apparatus that comprises a list of elements is not necessarily limited to only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Further, unless expressly stated to the contrary, “or” refers to an inclusive or and not to an exclusive or. For example, a condition A or B is satisfied by anyone of the following: A is true (or present) and B is false (or not present), A is false (or not present) and B is true (or present), and both A and B are true (or present).
In addition, use of the “a” or “an” are employed to describe elements and components of the embodiments herein. This is done merely for convenience and to give a general sense of the inventive concept. This description should be read to include one or more and the singular also includes the plural unless it is obvious that it is meant otherwise.
Further, use of the term “plurality” is meant to convey “more than one” unless expressly stated to the contrary.
Finally, as used herein any reference to “one embodiment” or “an embodiment” means that a particular element, feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment. The appearances of the phrase “in one embodiment” in various places in the specification are not necessarily all referring to the same embodiment.
As discussed above, the current technology does not provide for creating multiple discrete scan paths at different angles with light detection and ranging (LiDAR) systems. The present disclosure addresses these deficiencies with methodologies and systems including a deflection element having a first end and a second end, the light deflection element rotatable and balanced about an axis extending from the first end to the second end, the light deflection element further having at least three sides extending between the first end and the second end, at least two of the three sides having reflective surfaces, wherein at least a first side of the at least three sides has a first reflective surface and is at a first angle in relation to the axis, and at least a second side of the at least three sides has a second reflective surface and is at a second angle in relation to the axis, with the first angle being different from the second angle, the light deflection element being rotatable about the axis such that light is deflectable from the first and second reflective surface of the first and second sides, wherein upon actuation of a light source and rotation of the light deflection element, the LiDAR scanning system forms at least a first scan path and a second scan path.
The LiDAR system 34 (not shown) is typically mounted to a platform above the ground, for example, on an aerial vehicle. Within the LiDAR system 34 on the platform, a light beam 40 (such as a laser beam or any appropriate light beam) is produced and aimed at the conventional deflection element 20. As the conventional deflection element 20 rotates about the axis 30, the light beam 40 hits different portions of the rotating side 22 of the conventional deflection element 20.
When the deflection element 20 rotates such that the light beam bounces off the next side of the deflection element 20, the progression of the light beam 40 across the ground jumps back to the beginning of the same scan path 42a, the same points on the ground, for example, to the left. If the LiDAR system 34 is stationary, the LiDAR system 34 would repeatedly scan the same points on the ground, referred to as a scan line or scan path 42a. Each subsequent sweep is still aimed straight down when viewed perpendicularly to the direction of travel, as illustrated in
Through the forward movement of the LiDAR system 34, the LiDAR system 34 is able to scan a swath of area with multiple scan paths 42a. The data gathered from the scan may be used to create a digital elevation map of the ground.
For scanning in a nadir direction, that is, approximately straight down from the LiDAR system 34, the LiDAR system 34 is oriented such that the light beam 40, when at the centerline of the scan, is aimed directly nadir to the LiDAR system 34, as illustrated in
An oblique scan path is adapted to scan vertical surfaces as well as horizontal surfaces.
The LiDAR scanning system 34a may be carried by the vehicle 52 in any appropriate manner, such as attachment to the bottom of the vehicle 52, or attachment to a wing of the vehicle 52 when the vehicle 52 is an aircraft.
The light source 58 of the LiDAR scanning system 34a is adapted to transmit light beams 40. Any appropriate light source 58 may be used, for example, laser systems or light emitting diodes. The light source 58 transmits light beams 40 to the light deflection system 60. In one embodiment, the light source 58 transmits the light beams 40 to the light deflection system 60 through a transmitter channel 65 which may include lens systems 66, light dampening elements 68, and optical systems 70. As discussed above, and referring again to
The receiver 62 is adapted to receive the light beam 40 after reflection from the scan paths 42. In one embodiment, before being received by the receiver 62, the light beam 40 after reflection from the scan paths 42 returns to the light deflection element 72 which deflects the light beam 40 back to the receiver 62. Or the light beam 40 may be deflected by a second light deflection element 72a. The light may also travel through a receiver channel 100 which may comprise optical components such as lens systems 66, light dampening elements 68, and optical systems 70, before returning to the receiver 62.
The light deflection system 60 of the LiDAR scanning system 34a may comprise a light deflection element 72, a first connector 74, and a second connector 76. The first connector 74 of the light detection system 60 may be aligned with the axis 84 (as shown in
Further, the light deflection element 72 may have at least three sides 88 extending between the first end 78 and the second end 80.
At least a first side 88A of the three sides of the light deflection element is at a first angle 92 in relation to the axis 84, and at least a second side 88B of the three sides 88 is at a second angle 94 in relation to the axis 84. The first angle 92 is different from the second angle 94. The light deflection element 72 may have different angles on each of the at least three sides 88. In one example, as will be further discussed below, the light deflection element 72 has six sides 88 that are positioned at three different angles.
The light deflection element 72 is rotatable about the axis 84 such that light is deflectable from the reflective surface 90 of the first and second sides 88A and 88B out of the housing 56. Upon actuation of the light source 58 and rotation of the light deflection element 72, the LiDAR scanning system 34a forms at least a first scan path 96 and a second scan path 98, as the light is deflected from the differing angles of the at least first side 88A and second side 88B of the light deflection element 72, as depicted in
In
With the configuration described above, when the light deflection element 72 is rotated, the light beam 40 striking the sides 88 is deflected by the first and the third sides 88A and 88C to form the first scan path 96 and by the second and the fourth sides 88B and 88D to form the second scan path 98, such that the first scan path 96 and the second scan path 98 are at different angles, as illustrated in
If the LiDAR scanning system 34a is stationary, the exemplary rotating light deflection element 72 describe above would deflect the light beam 40 to produce two repeating scan paths—a first scan path 96 thirty degrees in front of the LiDAR scanning system 34a and a second scan path 98 directly beneath the LiDAR scanning system 34a.
If the exemplary LiDAR scanning system 34a described above were moving forward in the manner discussed previously, the light deflection system 60 would produce alternating first and second scan paths 96 and 98; again with the first scan path 96 that swept an area thirty degrees in front of (oblique to) the moving LiDAR scanning system 34a and the second scan path 98 that swept an area is approximately ninety degrees to (nadir to) the moving LiDAR scanning system 34a.
For example, when the four-sided light deflection element 72 rotates within the forward moving LiDAR scanning system 34a, the light beam 40 is deflected from the first side 88A, where the first side 88A is at the first angle 92 of thirty degrees, such that the light deflection element 72 would produce the first scan path 96a at an oblique angle to the LiDAR scanning system 34a. Then, as the light deflection element 72 continues to rotate, the light beam 40 would be deflected from the second side 88B, the second side 88B at the second angle of zero degrees, and would produce a second scan path 98a nadir to the LiDAR scanning system 34a. Next, when the light deflection element 72 rotates to the third side 88C, the light beam 40 would be deflected from the third side 88C, the third side 88C also at the first angle 92 of thirty degrees, producing a third scan path 96b at an oblique angle to the LiDAR scanning system 34a, but forward from the first scan path 96a, in the direction of travel of the LiDAR scanning system 34a. Similarly, when the rotating deflection element 72 rotates to the fourth side 88D, the light beam 40 would be deflected from the fourth side 88D, the fourth side 88D also at the second angle 94 of zero degrees and would produce a fourth scan path 98b nadir to the LiDAR scanning system 34a, but forward from the second scan path 98a, in the direction of travel of the LiDAR scanning system 34a. This pattern would then repeat as the light deflection element 72 continued to rotate.
The oblique angle scan paths, such as scan path 98 described above, can be used to scan vertical surfaces as well as horizontal surfaces. For example, vertical surfaces of natural or man-made structures can be scanned.
For illustrative purposes, a four-sided polygonal light deflection element 72 has initially been described; however, it should be understood that the description applies equally to light deflection elements 72 with three or more sides 88. For example, the light deflection element 72 could be six-sided with two different angled sides 88, or any number of sides 88 that could produce multiple discrete scan paths 102.
Similarly, for illustrative purposes, the described exemplary light deflection element 72 produced two different scan paths 96 and 98 by having only two differing angles 92 and 94 of the sides 88, but it should be understood that the description applies equally to light deflection elements 72 with more than two different angles of the sides 88. For instance, a triangular light deflection element 72 could be used where each side 88 had a different angle, resulting in three different scan paths 102. Or, for instance, a six-sided light deflection element 72 with six different angled sides 88 could produce six different scan paths 102. Or, for instance, an eight-sided light deflection element 72 with six different angled sides 88 could produce six different scan paths 102.
Additionally, a balanced light deflection element 72 minimizes vibration in the light deflection element 72 during rotation. To maintain balance of the light deflection element 72, a configuration may be used in which opposite sides 88 have the same angle. In one example, as illustrated in
Further, it should be understood that a configuration having opposite sides 88 having the same angles as described above is one configuration to aid in balancing a light deflection element 72, however, there are other balancing configurations possible. For example, the light deflection element 72 can be balanced using varying thicknesses of material. For example, the placement of weights may be used in order to balance the light deflection element 72 for rotation.
Conventionally, LiDAR systems utilize a rotating polygon mirror to deflect light beams to produce scans in a single scan direction typically aimed in a nadir direction. In accordance with the present disclosure, a method and an apparatus are described including a light deflection element having a first end and a second end, the light deflection element rotatable and balanced about an axis extending from the first end to the second end, the light deflection element further having at least three sides extending between the first end and the second end, at least two of the three sides having reflective surfaces, wherein at least a first side of the three sides is at a first angle in relation to the axis, and at least a second side of the three sides is at a second angle in relation to the axis, with the first angle being different from the second angle, the light deflection element being rotatable about the axis such that light is deflectable from the reflective surface of the first and second sides, wherein upon actuation of a light source and rotation of the light deflection element, the LiDAR scanning system forms at least a first scan path and a second scan path.
The foregoing description provides illustration and description, but is not intended to be exhaustive or to limit the inventive concepts to the precise form disclosed. Modifications and variations are possible in light of the above teachings or may be acquired from practice of the methodologies set forth in the present disclosure.
Even though particular combinations of features are recited in the claims and/or disclosed in the specification, these combinations are not intended to limit the disclosure. In fact, many of these features may be combined in ways not specifically recited in the claims and/or disclosed in the specification. Although each dependent claim listed below may directly depend on only one other claim, the disclosure includes each dependent claim in combination with every other claim in the claim set.
No element, act, or instruction used in the present application should be construed as critical or essential to the invention unless explicitly described as such outside of the preferred embodiment. Further, the phrase “based on” is intended to mean “based, at least in part, on” unless explicitly stated otherwise.
The present patent application is a continuation of the patent application identified by U.S. Ser. No. 13/797,172, filed Mar. 12, 2013, the entire contents of which are hereby incorporated by reference herein.
Number | Name | Date | Kind |
---|---|---|---|
2273876 | Lutz et al. | Feb 1942 | A |
3153784 | Petrides et al. | Oct 1964 | A |
3594556 | Edwards | Jul 1971 | A |
3614410 | Bailey | Oct 1971 | A |
3621326 | Hobrough | Nov 1971 | A |
3661061 | Tokarz | May 1972 | A |
3716669 | Watanabe et al. | Feb 1973 | A |
3725563 | Woycechowsky | Apr 1973 | A |
3864513 | Halajian et al. | Feb 1975 | A |
3866602 | Furihata | Feb 1975 | A |
3877799 | O'Donnell | Apr 1975 | A |
4015080 | Moore-Searson | Mar 1977 | A |
4044879 | Stahl | Aug 1977 | A |
4184711 | Wakimoto | Jan 1980 | A |
4240108 | Levy | Dec 1980 | A |
4281354 | Conte | Jul 1981 | A |
4344683 | Stemme | Aug 1982 | A |
4360876 | Girault et al. | Nov 1982 | A |
4382678 | Thompson et al. | May 1983 | A |
4387056 | Stowe | Jun 1983 | A |
4396942 | Gates | Aug 1983 | A |
4463380 | Hooks | Jul 1984 | A |
4489322 | Zulch et al. | Dec 1984 | A |
4490742 | Wurtzinger | Dec 1984 | A |
4491399 | Bell | Jan 1985 | A |
4495500 | Vickers | Jan 1985 | A |
4527055 | Harkless et al. | Jul 1985 | A |
4543603 | Laures | Sep 1985 | A |
4586138 | Mullenhoff et al. | Apr 1986 | A |
4635136 | Ciampa et al. | Jan 1987 | A |
4653136 | Denison | Mar 1987 | A |
4653316 | Fukuhara | Mar 1987 | A |
4673988 | Jansson et al. | Jun 1987 | A |
4686474 | Olsen et al. | Aug 1987 | A |
4688092 | Kamel et al. | Aug 1987 | A |
4689748 | Hofmann | Aug 1987 | A |
4707698 | Constant et al. | Nov 1987 | A |
4758850 | Archdale et al. | Jul 1988 | A |
4805033 | Nishikawa | Feb 1989 | A |
4807024 | Mclaurin et al. | Feb 1989 | A |
4814711 | Olsen et al. | Mar 1989 | A |
4814896 | Heitzman et al. | Mar 1989 | A |
4843463 | Michetti | Jun 1989 | A |
4899296 | Khattak | Feb 1990 | A |
4906198 | Cosimano et al. | Mar 1990 | A |
4953227 | Katsuma et al. | Aug 1990 | A |
4956872 | Kimura | Sep 1990 | A |
5034812 | Rawlings | Jul 1991 | A |
5086314 | Aoki et al. | Feb 1992 | A |
5121222 | Endoh et al. | Jun 1992 | A |
5138444 | Hiramatsu | Aug 1992 | A |
5155597 | Lareau et al. | Oct 1992 | A |
5164825 | Kobayashi et al. | Nov 1992 | A |
5166789 | Myrick | Nov 1992 | A |
5191174 | Chang et al. | Mar 1993 | A |
5200793 | Ulich et al. | Apr 1993 | A |
5210586 | Grage et al. | May 1993 | A |
5231435 | Blakely | Jul 1993 | A |
5247356 | Ciampa | Sep 1993 | A |
5251037 | Busenberg | Oct 1993 | A |
5265173 | Griffin et al. | Nov 1993 | A |
5267042 | Tsuchiya et al. | Nov 1993 | A |
5270756 | Busenberg | Dec 1993 | A |
5296884 | Honda et al. | Mar 1994 | A |
5335072 | Tanaka et al. | Aug 1994 | A |
5342999 | Frei et al. | Aug 1994 | A |
5345086 | Bertram | Sep 1994 | A |
5353055 | Hiramatsu | Oct 1994 | A |
5369443 | Woodham | Nov 1994 | A |
5402170 | Parulski et al. | Mar 1995 | A |
5414462 | Veatch | May 1995 | A |
5467271 | Abel et al. | Nov 1995 | A |
5481479 | Wight et al. | Jan 1996 | A |
5486948 | Imai et al. | Jan 1996 | A |
5506644 | Suzuki et al. | Apr 1996 | A |
5508736 | Cooper | Apr 1996 | A |
5555018 | von Braun | Sep 1996 | A |
5604534 | Hedges et al. | Feb 1997 | A |
5617224 | Ichikawa et al. | Apr 1997 | A |
5633946 | Lachinski et al. | May 1997 | A |
5668593 | Lareau et al. | Sep 1997 | A |
5677515 | Selk et al. | Oct 1997 | A |
5798786 | Lareau et al. | Aug 1998 | A |
5835133 | Moreton et al. | Nov 1998 | A |
5841574 | Willey | Nov 1998 | A |
5844602 | Lareau et al. | Dec 1998 | A |
5852753 | Lo et al. | Dec 1998 | A |
5894323 | Kain et al. | Apr 1999 | A |
5899945 | Baylocq et al. | May 1999 | A |
5963664 | Kumar et al. | Oct 1999 | A |
6037945 | Loveland | Mar 2000 | A |
6088055 | Lareau et al. | Jul 2000 | A |
6094215 | Sundahl et al. | Jul 2000 | A |
6097854 | Szeliski et al. | Aug 2000 | A |
6108032 | Hoagland | Aug 2000 | A |
6130705 | Lareau et al. | Oct 2000 | A |
6157747 | Szeliski et al. | Dec 2000 | A |
6167300 | Cherepenin et al. | Dec 2000 | A |
6222583 | Matsumura et al. | Apr 2001 | B1 |
6236886 | Cherepenin et al. | May 2001 | B1 |
6256057 | Mathews et al. | Jul 2001 | B1 |
6373522 | Mathews et al. | Apr 2002 | B2 |
6421610 | Carroll et al. | Jul 2002 | B1 |
6434280 | Peleg et al. | Aug 2002 | B1 |
6597818 | Kumar et al. | Jul 2003 | B2 |
6639596 | Shum et al. | Oct 2003 | B1 |
6711475 | Murphy | Mar 2004 | B2 |
6731329 | Feist et al. | May 2004 | B1 |
6747686 | Bennett | Jun 2004 | B1 |
6810383 | Loveland | Oct 2004 | B1 |
6816819 | Loveland | Nov 2004 | B1 |
6826539 | Loveland | Nov 2004 | B2 |
6829584 | Loveland | Dec 2004 | B2 |
6834128 | Altunbasak et al. | Dec 2004 | B1 |
6876763 | Sorek et al. | Apr 2005 | B2 |
7009638 | Gruber et al. | Mar 2006 | B2 |
7018050 | Ulichney et al. | Mar 2006 | B2 |
7046401 | Dufaux et al. | May 2006 | B2 |
7061650 | Walmsley et al. | Jun 2006 | B2 |
7065260 | Zhang et al. | Jun 2006 | B2 |
7123382 | Walmsley et al. | Oct 2006 | B2 |
7127348 | Smitherman et al. | Oct 2006 | B2 |
7133551 | Chen | Nov 2006 | B2 |
7142984 | Rahmes et al. | Nov 2006 | B2 |
7184072 | Loewen et al. | Feb 2007 | B1 |
7233691 | Setterholm | Jun 2007 | B2 |
7262790 | Bakewell | Aug 2007 | B2 |
7348895 | Lagassey | Mar 2008 | B2 |
7509241 | Guo | Mar 2009 | B2 |
7728833 | Verma | Jun 2010 | B2 |
7832267 | Woro | Nov 2010 | B2 |
7844499 | Yahiro | Nov 2010 | B2 |
8078396 | Meadow | Dec 2011 | B2 |
8705843 | Lieckfeldt | Apr 2014 | B2 |
20020041328 | LeCompte et al. | Apr 2002 | A1 |
20020041717 | Murata et al. | Apr 2002 | A1 |
20020114536 | Xiong et al. | Aug 2002 | A1 |
20020140924 | Wangler | Oct 2002 | A1 |
20030014224 | Guo et al. | Jan 2003 | A1 |
20030043824 | Remboski et al. | Mar 2003 | A1 |
20030088362 | Melero et al. | May 2003 | A1 |
20030164962 | Nims et al. | Sep 2003 | A1 |
20030214585 | Bakewell | Nov 2003 | A1 |
20040105090 | Schultz et al. | Jun 2004 | A1 |
20040167709 | Smitherman et al. | Aug 2004 | A1 |
20050073241 | Yamauchi et al. | Apr 2005 | A1 |
20050088251 | Matsumoto | Apr 2005 | A1 |
20050169521 | Hel-Or | Aug 2005 | A1 |
20060028550 | Palmer et al. | Feb 2006 | A1 |
20060092043 | Lagassey | May 2006 | A1 |
20060238383 | Kimchi et al. | Oct 2006 | A1 |
20060250515 | Koseki et al. | Nov 2006 | A1 |
20070024612 | Balfour | Feb 2007 | A1 |
20070046448 | Smitherman | Mar 2007 | A1 |
20070237420 | Steedly et al. | Oct 2007 | A1 |
20070279615 | Degnan | Dec 2007 | A1 |
20080120031 | Rosenfeld et al. | May 2008 | A1 |
20080123994 | Schultz et al. | May 2008 | A1 |
20080158256 | Russell et al. | Jul 2008 | A1 |
20090177458 | Hochart et al. | Jul 2009 | A1 |
20090208095 | Zebedin | Aug 2009 | A1 |
20090304227 | Kennedy et al. | Dec 2009 | A1 |
20100296693 | Thornberry et al. | Nov 2010 | A1 |
20110033110 | Shimamura et al. | Feb 2011 | A1 |
20130088872 | Ball | Apr 2013 | A1 |
20130246204 | Thornberry et al. | Sep 2013 | A1 |
Number | Date | Country |
---|---|---|
331204 | Jul 2006 | AT |
0316110 | Sep 2005 | BR |
2402234 | Sep 2000 | CA |
2505566 | May 2004 | CA |
1735897 | Feb 2006 | CN |
60017384 | Mar 2006 | DE |
60306301 | Nov 2006 | DE |
1418402 | Oct 2006 | DK |
1010966 | Feb 1999 | EP |
1180967 | Feb 2002 | EP |
1418402 | May 2004 | EP |
1696204 | Aug 2006 | EP |
2266704 | Mar 2007 | ES |
2003317089 | Nov 2003 | JP |
PA05004987 | Feb 2006 | MX |
WO9918732 | Apr 1999 | WO |
WO2000053090 | Sep 2000 | WO |
WO2004044692 | May 2004 | WO |
WO2005088251 | Sep 2005 | WO |
WO2008028040 | Mar 2008 | WO |
WO2012117542 | Sep 2012 | WO |
Entry |
---|
Ackermann, Prospects of Kinematic GPS Aerial Triangulation, ITC Journal, 1992. |
Ciampa, John A., “Pictometry Digital Video Mapping”, SPIE, vol. 2598, pp. 140-148, 1995. |
Ciampa, J. A., Oversee, Presented at Reconstruction After Urban earthquakes, Buffalo, NY, 1989. |
Dunford et al., Remote Sensing for Rural Development Planning in Africa, The Journal for the International Institute for Aerial Survey and Earth Sciences, 2:99-108, 1983. |
Gagnon, P.A., Agnard, J. P., Nolette, C., & Boulianne, M., “A Micro-Computer based General Photogrammetric System”, Photogrammetric Engineering and Remote Sensing, vol. 56, No. 5., pp. 623-625, 1990. |
Konecny, G., “Issues of Digital Mapping”, Leibniz University Hannover, Germany, GIS Ostrava 2008, Ostrava 27.—Jan. 30, 2008, pp. 1-8. |
Konecny, G., “Analytical Aerial Triangulation with Convergent Photography”, Department of Surveying Engineering, University of New Brunswick, pp. 37-57, 1966. |
Konecny, G., “Interior Orientation and Convergent Photography”, Photogrammetric Engineering, pp. 625-634, 1965. |
Graham, Lee A., “Airborne Video for Near-Real-Time Vegetation Mapping”, Journal of Forestry, 8:28-32, 1993. |
Graham, Horita TRG-50 SMPTE Time-Code Reader, Generator, Window Inserter, 1990. |
Hess, L.L, et al., “Geocoded Digital Videography for Validation of Land Cover Mapping in the Amazon Basin”, International Journal of Remote Sensing, vol. 23, No. 7, pp. 1527-1555, 2002. |
Hinthorne, J., et al., “Image Processing in the Grass GIS”, Geoscience and Remote Sensing Symposium, 4:2227-2229, 1991. |
Imhof, Ralph K., “Mapping from Oblique Photographs”, Manual of Photogrammetry, Chapter 18, 1966. |
Jensen, John R., Introductory Digital Image Processing: A Remote Sensing Perspective, Prentice-Hall, 1986; 399 pages. |
Lapine, Lewis A., “Practical Photogrammetric Control by Kinematic GPS”, GPS World, 1(3):44-49, 1990. |
Lapine, Lewis A., Airborne Kinematic GPS Positioning for Photogrammetry—The Determination of the Camera Exposure Station, Silver Spring, MD, 11 pages, at least as early as 2000. |
Linden et al., Airborne Video Automated Processing, US Forest Service Internal report, Fort Collins, CO, 1993. |
Myhre, Dick, “Airborne Video System Users Guide”, USDA Forest Service, Forest Pest Management Applications Group, published by Management Assistance Corporation of America, 6 pages, 1992. |
Myhre et al., “An Airborne Video System Developed Within Forest Pest Management—Status and Activities”, 10 pages, 1992. |
Myhre et al., “Airborne Videography—A Potential Tool for Resource Managers”—Proceedings: Resource Technology 90, 2nd International Symposium on Advanced Technology in Natural Resource Management, 5 pages, 1990. |
Myhre et al., Aerial Photography for Forest Pest Management, Proceedings of Second Forest Service Remote Sensing Applications Conference, Slidell, Louisiana, 153-162, 1988. |
Myhre et al., “Airborne Video Technology”, Forest Pest Management/Methods Application Group, Fort Collins, CO, pp. 1-6, at least as early as Jul. 30, 2006. |
Norton-Griffiths et al., 1982. “Sample surveys from light aircraft combining visual observations and very large scale color photography”. University of Arizona Remote Sensing Newsletter 82-2:1-4. |
Norton-Griffiths et al., “Aerial Point Sampling for Land Use Surveys”, Journal of Biogeography, 15:149-156, 1988. |
Novak, Rectification of Digital Imagery, Photogrammetric Engineering and Remote Sensing, 339-344, 1992. |
Slaymaker, Dana M., “Point Sampling Surveys with GPS-logged Aerial Videography”, Gap Bulletin No. 5, University of Idaho, http://www.gap.uidaho.edu/Bulletins/5/PSSwGPS.html, 1996. |
Slaymaker, et al., “Madagascar Protected Areas Mapped with GPS-logged Aerial Video and 35mm Air Photos”, Earth Observation magazine, vol. 9, No. 1, http://www.eomonline.com/Common/Archives/2000jan/00jan_tableofcontents.html, pp. 1-4, 2000. |
Slaymaker, et al., “Cost-effective Determination of Biomass from Aerial Images”, Lecture Notes in Computer Science, 1737:67-76, http://portal.acm.org/citation.cfm?id=648004.743267&coll=GUIDE&dl=, 1999. |
Slaymaker, et al., “A System for Real-time Generation of Geo-referenced Terrain Models”, 4232A-08, SPIE Enabling Technologies for Law Enforcement Boston, MA, ftp://vis-ftp.cs.umass.edu/Papers/schultz/spie2000.pdf, 2000. |
Slaymaker, et al.,“Integrating Small Format Aerial Photography, Videography, and a Laser Profiler for Environmental Monitoring”, In ISPRS WG III/1 Workshop on Integrated Sensor Calibration and Orientation, Portland, Maine, 1999. |
Slaymaker, et al., “Calculating Forest Biomass With Small Format Aerial Photography, Videography and a Profiling Laser”, In Proceedings of the 17th Biennial Workshop on Color Photography and Videography in Resource Assessment, Reno, NV, 1999. |
Slaymaker et al., Mapping Deciduous Forests in Southern New England using Aerial Videography and Hyperclustered Multi-Temporal Landsat TM Imagery, Department of Forestry and Wildlife Management, University of Massachusetts, 1996. |
Star et al., “Geographic Information Systems an Introduction”, Prentice-Hall, 1990. |
Tomasi et al., “Shape and Motion from Image Streams: a Factorization Method”—Full Report on the Orthographic Case, pp. 9795-9802, 1992. |
Warren, Fire Mapping with the Fire Mousetrap, Aviation and Fire Management, Advanced Electronics System Development Group, USDA Forest Service, 1986. |
Welch, R., “Desktop Mapping with Personal Computers”, Photogrammetric Engineering and Remote Sensing, 1651-1662, 1989. |
Westervelt, James, “Introduction to GRASS 4”, pp. 1-25, 1991. |
“RGB Spectrum Videographics Report, vol. 4, No. 1, McDonnell Douglas Integrates RGB Spectrum Systems in Helicopter Simulators”, pp. 1-6, 1995. |
RGB “Computer Wall”, RGB Spectrum, 4 pages, 1995. |
“The First Scan Converter with Digital Video Output”, Introducing . . . The RGB/Videolink 1700D-1, RGB Spectrum, 2 pages, 1995. |
ERDAS Field Guide, Version 7.4, A Manual for a commercial image processing system, 1990. |
“Image Measurement and Aerial Photography”, Magazine for all branches of Photogrammetry and its fringe areas, Organ of the German Photogrammetry Association, Berlin-Wilmersdorf, No. 1, 1958. |
“Airvideo Analysis”, MicroImages, Inc., Lincoln, NE, 1 page, Dec. 1992. |
Zhu, Zhigang, Hanson, Allen R., “Mosaic-Based 3D Scene Representation and Rendering”, Image Processing, 2005, ICIP 2005, IEEE International Conference on (Jan. 2005). |
Mostafa, et al., “Direct Positioning and Orientation Systems How do they Work? What is the Attainable Accuracy?”, Proceeding, American Society of Photogrammetry and Remote Sensing Annual Meeting, St. Louis, MO, Apr. 24-27, 2001. |
“POS AV” georeferenced by Applanix aided inertial technology, http://www.applanix.com/products/posav_index.php. |
Mostafa, et al., “Ground Accuracy from Directly Georeferenced Imagery”, Published in GIM International vol. 14 N. Dec. 12, 2000. |
Mostafa, et al., “Airborne Direct Georeferencing of Frame Imagery: An Error Budget”, The 3rd International Symposium on Mobile Mapping Technology, Cairo, Egypt, Jan. 3-5, 2001. |
Mostafa, M.R. and Hutton, J., “Airborne Kinematic Positioning and Attitude Determination Without Base Stations”, Proceedings, International Symposium on Kinematic Systems in Geodesy, Geomatics, and Navigation (KIS 2001) Banff, Alberta, Canada, Jun. 4-8, 2001. |
Mostafa, et al., “Airborne DGPS Without Dedicated Base Stations for Mapping Applications”, Proceedings of ION-GPS 2001, Salt Lake City, Utah, USA, Sep. 11-14. |
Mostafa, “ISAT Direct Exterior Orientation QA/QC Strategy Using POS Data”, Proceedings of OEEPE Workshop: Integrated Sensor Orientation, Hanover, Germany, Sep. 17-18, 2001. |
Mostafa, “Camera/IMU Boresight Calibration: New Advances and Performance Analysis”, Proceedings of the ASPRS Annual Meeting, Washington, D.C., Apr. 21-26, 2002. |
Hiatt, “Sensor Integration Aids Mapping at Ground Zero”, Photogrammetric Engineering and Remote Sensing, Sep. 2002, p. 877-878. |
Mostafa, “Precision Aircraft GPS Positioning Using CORS”, Photogrammetric Engineering and Remote Sensing, Nov. 2002, p. 1125-1126. |
Mostafa, et al., System Performance Analysis of INS/DGPS Integrated System for Mobile Mapping System (MMS), Department of Geomatics Engineering, University of Calgary, Commission VI, WG VI/4, Mar. 2004. |
Artes F., & Hutton, J., “GPS and Inertial Navigation Delivering”, Sep. 2005, GEOconnexion International Magazine, p. 52-53, Sep. 2005. |
“POS AV” Applanix, Product Outline, airborne@applanix.com, 3 pages, Mar. 28, 2007. |
POSTrack, “Factsheet”, Applanix, Ontario, Canada, www.applanix.com, Mar. 2007. |
POS AV “Digital Frame Camera Applications”, 3001 Inc., Brochure, 2007. |
POS AV “Digital Scanner Applications”, Earthdata Brochure, Mar. 2007. |
POS AV “Film Camera Applications” AeroMap Brochure, Mar. 2007. |
POS AV “LIDAR Applications” MD Atlantic Brochure, Mar. 2007. |
POS AV “OEM System Specifications”, 2005. |
POS AV “Synthetic Aperture Radar Applications”, Overview, Orbisat Brochure, Mar. 2007. |
“POSTrack V5 Specifications” 2005. |
“Remote Sensing for Resource Inventory Planning and Monitoring”, Proceeding of the Second Forest Service Remote Sensing Applications Conference—Slidell, Louisiana and NSTL, Mississippi, Apr. 11-15, 1988. |
“Protecting Natural Resources with Remote Sensing”, Proceeding of the Third Forest Service Remote Sensing Applications Conference—Apr. 9-13, 1990. |
Heipke, et al, “Test Goals and Test Set Up for the OEEPE Test—Integrated Sensor Orientation”, 1999. |
Kumar, et al., “Registration of Video to Georeferenced Imagery”, Sarnoff Corporation, CN5300, Princeton, NJ, 1998. |
McConnel, Proceedings Aerial Pest Detection and Monitoring Workshop—1994.pdf, USDA Forest Service Forest Pest Management, Northern Region, Intermountain region, Forest Insects and Diseases, Pacific Northwest Region. |
“Standards for Digital Orthophotos”, National Mapping Program Technical Instructions, US Department of the Interior, Dec. 1996. |
Tao, “Mobile Mapping Technology for Road Network Data Acquisition”, Journal of Geospatial Engineering, vol. 2, No. 2, pp. 1-13, 2000. |
“Mobile Mapping Systems Lesson 4”, Lesson 4 SURE 382 Geographic Information Systems II, pp. 1-29, Jul. 2, 2006. |
Konecny, G., “Mechanische Radialtriangulation mit Konvergentaufnahmen”, Bildmessung und Luftbildwesen, 1958, Nr. 1. |
Myhre, “ASPRS/ACSM/RT 92” Technical papers, Washington, D.C., vol. 5 Resource Technology 92, Aug. 3-8, 1992. |
Rattigan, “Towns get new view from above,” The Boston Globe, Sep. 5, 2002. |
Mostafa, et al., “Digital image georeferencing from a multiple camera system by GPS/INS,” ISP RS Journal of Photogrammetry & Remote Sensing, 56(I): I-12, Jun. 2001. |
Dillow, “Grin, or bare it, for aerial shot,” Orange County Register (California), Feb. 25, 200I. |
Anonymous, “Live automatic coordinates for aerial images,” Advanced Imaging, 12(6):51, Jun. 1997. |
Anonymous, “Pictometry and US Geological Survey announce—Cooperative Research and Development Agreement,” Press Release published Oct. 20, 1999. |
Miller, “Digital software gives small Arlington the Big Picture,” Government Computer NewsState & Local, 7(12), Dec. 2001. |
Garrett, “Pictometry: Aerial photography on steroids,” Law Enforcement Technology 29(7):114-116, Jul. 2002. |
Weaver, “County gets an eyeful,” The Post-Standard (Syracuse, NY), May 18, 2002. |
Reed, “Firm gets latitude to map O.C. in 3D,” Orange County Register (California), Sep. 27, 2000. |
Reyes, “Orange County freezes ambitious aerial photography project,” Los Angeles Times, Oct. 16, 2000. |
Aerowest Pricelist of Geodata as of Oct. 21, 2005 and translations to English 3 pages. |
www.archive.org Web site showing archive of German AeroDach Web Site http://www.aerodach.de from Jun. 13, 2004 (retrieved Sep. 20, 2012) and translations to English 4 pages. |
AeroDach® Online Roof Evaluation Standard Delivery Format and 3D Data File: Document Version 01.00.2002 with publication in 2002, 13 pages. |
Noronha et al., “Detection and Modeling of Building from Multiple Aerial Images,” Institute for Robotics and Intelligent Systems, University of Southern California, Nov. 27, 2001, 32 pages. |
Applicad Reports dated Nov. 25, 1999-Mar. 9, 2005, 50 pages. |
Applicad Online Product Bulletin archive from Jan. 7, 2003, 4 pages. |
Applicad Sorcerer Guide, Version 3, Sep. 8, 1999, 142 pages. |
Xactimate Claims Estimating Software archive from Feb. 12, 2010, 8 pages. |
Bignone et al, Automatic Extraction of Generic House Roofs from High Resolution Aerial Imagery, Communication Technology Laboratory, Swiss Federal Institute of Technology ETH, CH-8092 Zurich, Switzerland, 12 pages, 1996. |
Geospan 2007 Job proposal. |
Greening et al., Commercial Applications of GPS-Assisted Photogrammetry, Presented at GIS/LIS Annual Conference and Exposition, Phoenix, AZ, Oct. 1994. |
Applanix Corp, Robust, Precise Position and Orientation Solutions, POS/AV & POS/DG Installation & Operation Manual, Redefining the way you survey, May 19, 1999, Ontario, Canada. |
Applanix Corp, Robust, Precise Position and Orientation Solutions, POS/AV V4 Ethernet & Disk Logging ICD, Redefining the way you survey, Revision 3, Apr. 18, 2001, Ontario, Canada. |
Petrie, Current Developments in Airborne Laser Scanning Technologies, IX International Scientific & Technical Conference “From Imagery to Map: Digital Photogrammetric Technologies,” Oct. 5-8, 2009, Attica, Greece. |
Number | Date | Country | |
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20160124077 A1 | May 2016 | US |
Number | Date | Country | |
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Parent | 13797172 | Mar 2013 | US |
Child | 14993725 | US |