The present invention relates generally to a vehicle vision system for a vehicle and, more particularly, to a vehicle vision system that utilizes one or more cameras at a vehicle.
Use of imaging sensors in vehicle imaging systems is common and known. Examples of such known systems are described in U.S. Pat. Nos. 5,949,331; 5,670,935 and/or 5,550,677, which are hereby incorporated herein by reference in their entireties.
The present invention provides a vision system or imaging system for a vehicle that utilizes one or more cameras (such as one or more CMOS cameras) to capture image data representative of images exterior of the vehicle, and determines a kinematic model of motion of the vehicle as the vehicle is driven along any path or route. The system determines the kinematic model based on inputs indicative of the vehicle steering angle and/or vehicle speed and/or vehicle geometries.
The cameras (such as one or more CMOS cameras) capture image data representative of images exterior of the vehicle, and provide the communication/data signals, including camera data or captured image data, that may be displayed at a display screen that is viewable by the driver of the vehicle, such as when the driver is backing up the vehicle, and that may be processed and, responsive to such image processing, the system may detect an object at or near the vehicle and in the path of travel of the vehicle, such as when the vehicle is backing up. The vision system may be operable to display a surround view or bird's eye view of the environment at or around or at least partially surrounding the subject or equipped vehicle, and the displayed image may include a displayed image representation of the subject vehicle.
According to an aspect of the present invention, a vision system of a vehicle includes at least one camera (such as a camera comprising a two dimensional array of photosensing pixels) disposed at the vehicle and having a field of view exterior of the vehicle (and may include a plurality of cameras, each having a respective field of view exterior of the vehicle, such as rearward, sideward and/or forward of the vehicle). The camera is operable to capture frames of image data. Responsive to image processing by an image processor of captured image data, a control is operable to determine objects present in the field of view of the camera. Responsive to vehicle data (such as steering information of the vehicle, speed of the vehicle and/or distance traveled by the vehicle or the like), the control determines a vehicle motion vector during driving of the vehicle by a driver of the vehicle. The control determines movement of an object (present in the field of view of the at least one camera) relative to the vehicle via image processing of at least two frames of captured image data during driving of the vehicle by the driver of the vehicle. The control compares the determined relative movement of the object to the determined vehicle motion vector, and responsive to the comparison, the control may determine a misalignment of the camera.
These and other objects, advantages, purposes and features of the present invention will become apparent upon review of the following specification in conjunction with the drawings.
A vehicle vision system and/or driver assist system and/or object detection system and/or alert system operates to capture images exterior of the vehicle and may process the captured image data to display images and to detect objects at or near the vehicle and in the predicted path of the vehicle, such as to assist a driver of the vehicle in maneuvering the vehicle in a rearward direction. The vision system includes an image processor or image processing system that is operable to receive image data from one or more cameras and provide an output to a display device for displaying images representative of the captured image data. Optionally, the vision system may provide a top down or bird's eye or surround view display and may provide a displayed image that is representative of the subject vehicle, and optionally with the displayed image being customized to at least partially correspond to the actual subject vehicle.
Referring now to the drawings and the illustrative embodiments depicted therein, a vehicle 10 includes an imaging system or vision system 12 that includes at least one exterior facing imaging sensor or camera, such as a rearward facing imaging sensor or camera 14a (and the system may optionally include multiple exterior facing imaging sensors or cameras, such as a forwardly facing camera 14b at the front (or at the windshield) of the vehicle, and a sidewardly/rearwardly facing camera 14c, 14d at respective sides of the vehicle), which captures images exterior of the vehicle, with the camera having a lens for focusing images at or onto an imaging array or imaging plane or imager of the camera (
The kinematic model of the present invention generates a Motion Vector V1N=(x1N, y1N, ψ1N) of a moving vehicle between frame 1 and frame N, where x1N and y1N (mm) are the translational components of V and ψ1N (degrees) is the heading angle of the vehicle. No specific vehicle motion is required, whereby the Motion Vector estimation is performed as the vehicle navigates along an arbitrary path.
The Kinematic Model of the present invention uses a “Bicycle Model” to represent the vehicle motion, and determines or computes elementary vectors Vij=(xij, yij, ψij) for each pair of frames i and j. The resulting motion vector is composed of elementary vectors.
The Kinematic Model of the present invention does not use any image information, and the inputs of the Kinematic Model include vehicle CAN bus data and vehicle geometry.
The kinematic model of the present invention develops numerical relations between wheel steering angles, wheel pulses, heading angle ψij and translational vehicle motion between frames i and j. The system is operable to approximate the vehicle Kinematic Model by use of a bicycle kinematic model, where two front (and rear) wheels coincide (see, for example,
The Kinematic Model of the present invention provides a model of vehicle motion between frames, based on one or more system inputs. The system is operable to estimate a vector Vij=(xij, yij, ψij) of vehicle motion between image frames i and j. The inputs may provide input data, such as, for example, CAN bus vehicle motion data, such as, for example, the steering wheel angle and wheel pulse clicks and/or the like (see
The kinematic modeling system of the present invention uses lateral vehicle dynamics and wheel pulse counters, and develops numerical relations between the wheel steering angles, the heading angle and the translational vehicle motion. The system uses the assumption that the motion of the vehicle can be accurately described by a Bicycle Model, where the two front and two rear wheels coincide (see
The system of the present invention thus may determine a model of the motion or path of the vehicle responsive to vehicle system inputs, such as inputs from or indicative of the vehicle steering wheel angle and/or vehicle speed and/or the like. The system may utilize the motion model for camera calibration systems and/or the like, such as for a camera calibration system of the types described in U.S. patent application Ser. No. 14/282,028, filed May 20, 2014 and published Nov. 27, 2014 as U.S. Publication No. US-2014-0347486, and U.S. provisional applications, Ser. No. 61/878,877, filed Sep. 17, 2013, and Ser. No. 61/825,752, filed May 21, 2013, which are hereby incorporated herein by reference in their entireties.
Optionally, the vision system (utilizing the forward facing camera and a rearward facing camera and other cameras disposed at the vehicle with exterior fields of view) may be part of or may provide a display of a top-down view or birds-eye view system of the vehicle or a surround view at the vehicle, such as by utilizing aspects of the vision systems described in International Publication Nos. WO 2010/099416; WO 2011/028686; WO 2012/075250; WO 2013/019795; WO 2012/075250; WO 2012/145822; WO 2013/081985; WO 2013/086249 and/or WO 2013/109869, and/or U.S. patent application Ser. No. 13/333,337, filed Dec. 21, 2011 and published Jun. 28, 2012 as U.S. Publication No. US-2012-0162427, which are hereby incorporated herein by reference in their entireties.
In multi-camera surround view systems, maintaining calibration of the cameras is important. For example, a camera located at the outside mirror should be calibrated along with a camera located at the front or rear of the vehicle, so that the overlapping portions of the captured images can be properly stitched together to provide a substantially seamless top view or surround view display. Prior calibration methods are known, such as described in U.S. Pat. No. 7,720,580, which is hereby incorporated herein by reference in its entirety.
In accordance with the present invention, a vehicle data-based kinematic model of the equipped vehicle is determined as that vehicle travels a particular road or route, using vehicle data, such as including vehicle steering information, vehicle speed information, vehicle distance information and/or the like. Such vehicle data is supplied to a control (typically vehicle a CAN or LIN bus of the vehicle), which determines or establishes a vehicle-based motion vector for the vehicle at any given time and location along the driven route. In parallel (such as at the same time as the kinematic model is being determined), an image-based motion vector of that moving vehicle may be determined, based on change or movement of an imaged object between a first frame and a following or subsequent second frame.
In a properly calibrated system, movement of the equipped vehicle and objects in the field of view of the camera as determined via image processing of captured image data should coincide with and be the same as movement of the vehicle determined and predicted via the vehicle data based kinematic model. In other words, the kinematic model can be used to determine how an object present in the field of view of the camera may move relative to the vehicle as the vehicle is driven, and when the camera is properly calibrated, the location and movement of the object as determined via image processing of subsequent frames of captured image data should coincide with the predicted location and movement of the object as determined via use of the kinematic model. However, if a particular camera capturing image data processed in the first and second frames of captured image data is no longer properly calibrated, the motion of the object predicted by use of the vehicle kinematic vector determined by the vehicle data based kinematic model will be different than the relative motion of the object in the field of view of the misaligned camera as captured over two or more frames of image data. Thus, the control can determine and utilize this determined difference to establish or determine that an out of calibration condition of the subject vehicle camera exists. Responsive to such a determination, the system may adjust the camera calibration accordingly to bring the camera into calibration so as to have the location and relative movement of detected objects coincide with the predicted location and movement based on the actual kinematic/orientation of the equipped vehicle.
The camera or sensor may comprise any suitable camera or sensor. Optionally, the camera may comprise a “smart camera” that includes the imaging sensor array and associated circuitry and image processing circuitry and electrical connectors and the like as part of a camera module, such as by utilizing aspects of the vision systems described in International Publication Nos. WO 2013/081984 and/or WO 2013/081985, which are hereby incorporated herein by reference in their entireties.
The system includes an image processor operable to process image data captured by the camera or cameras, such as for detecting objects or other vehicles or pedestrians or the like in the field of view of one or more of the cameras. For example, the image processor may comprise an EyeQ2 or EyeQ3 image processing chip available from Mobileye Vision Technologies Ltd. of Jerusalem, Israel, and may include object detection software (such as the types described in U.S. Pat. Nos. 7,855,755; 7,720,580 and/or 7,038,577, which are hereby incorporated herein by reference in their entireties), and may analyze image data to detect vehicles and/or other objects. Responsive to such image processing, and when an object or other vehicle is detected, the system may generate an alert to the driver of the vehicle and/or may generate an overlay at the displayed image to highlight or enhance display of the detected object or vehicle, in order to enhance the driver's awareness of the detected object or vehicle or hazardous condition during a driving maneuver of the equipped vehicle.
The vehicle may include any type of sensor or sensors, such as imaging sensors or radar sensors or lidar sensors or ladar sensors or ultrasonic sensors or the like. The imaging sensor or camera may capture image data for image processing and may comprise any suitable camera or sensing device, such as, for example, a two dimensional array of a plurality of photosensor elements arranged in at least 640 columns and 480 rows (at least a 640×480 imaging array, such as a megapixel imaging array or the like), with a respective lens focusing images onto respective portions of the array. The photosensor array may comprise a plurality of photosensor elements arranged in a photosensor array having rows and columns. Preferably, the imaging array has at least 300,000 photosensor elements or pixels, more preferably at least 500,000 photosensor elements or pixels and more preferably at least 1 million photosensor elements or pixels. The imaging array may capture color image data, such as via spectral filtering at the array, such as via an RGB (red, green and blue) filter or via a red/red complement filter or such as via an RCC (red, clear, clear) filter or the like. The logic and control circuit of the imaging sensor may function in any known manner, and the image processing and algorithmic processing may comprise any suitable means for processing the images and/or image data.
For example, the vision system and/or processing and/or camera and/or circuitry may utilize aspects described in U.S. Pat. Nos. 7,005,974; 5,760,962; 5,877,897; 5,796,094; 5,949,331; 6,222,447; 6,302,545; 6,396,397; 6,498,620; 6,523,964; 6,611,202; 6,201,642; 6,690,268; 6,717,610; 6,757,109; 6,802,617; 6,806,452; 6,822,563; 6,891,563; 6,946,978; 7,859,565; 5,550,677; 5,670,935; 6,636,258; 7,145,519; 7,161,616; 7,230,640; 7,248,283; 7,295,229; 7,301,466; 7,592,928; 7,881,496; 7,720,580; 7,038,577; 6,882,287; 5,929,786 and/or 5,786,772, and/or International Publication Nos. WO 2011/028686; WO 2010/099416; WO 2012/061567; WO 2012/068331; WO 2012/075250; WO 2012/103193; WO 2012/0116043; WO 2012/0145313; WO 2012/0145501; WO 2012/145818; WO 2012/145822; WO 2012/1581 67; WO 2012/075250; WO 2012/0116043; WO 2012/0145501; WO 2012/154919; WO 2013/019707; WO 2013/016409; WO 2013/019795; WO 2013/067083; WO 2013/070539; WO 2013/043661; WO 2013/048994; WO 2013/063014, WO 2013/081984; WO 2013/081985; WO 2013/074604; WO 2013/086249; WO 2013/103548; WO 2013/109869; WO 2013/123161; WO 2013/126715; WO 2013/043661 and/or WO 2013/158592, which are all hereby incorporated herein by reference in their entireties. The system may communicate with other communication systems via any suitable means, such as by utilizing aspects of the systems described in International Publication Nos. WO/2010/144900; WO 2013/043661 and/or WO 2013/081985, and/or U.S. patent application Ser. No. 13/202,005, filed Aug. 17, 2011 and published Mar. 15, 2012 as U.S. Publication No. US-2012-0062743, which are hereby incorporated herein by reference in their entireties.
Changes and modifications in the specifically described embodiments can be carried out without departing from the principles of the invention, which is intended to be limited only by the scope of the appended claims, as interpreted according to the principles of patent law including the doctrine of equivalents.
The present application is a continuation of U.S. patent application Ser. No. 14/282,029, filed May 20, 2014, now U.S. Pat. No. 9,205,776, which claims the filing benefits of U.S. provisional application Ser. No. 61/825,753, filed May 21, 2013, which is hereby incorporated herein by reference in its entirety.
Number | Name | Date | Kind |
---|---|---|---|
4961625 | Wood et al. | Oct 1990 | A |
4966441 | Conner | Oct 1990 | A |
4967319 | Seko | Oct 1990 | A |
4970653 | Kenue | Nov 1990 | A |
5003288 | Wilhelm | Mar 1991 | A |
5059877 | Teder | Oct 1991 | A |
5064274 | Alten | Nov 1991 | A |
5072154 | Chen | Dec 1991 | A |
5096287 | Kakinami et al. | Mar 1992 | A |
5148014 | Lynam | Sep 1992 | A |
5166681 | Bottesch et al. | Nov 1992 | A |
5177606 | Koshizawa | Jan 1993 | A |
5182502 | Slotkowski et al. | Jan 1993 | A |
5193029 | Schofield | Mar 1993 | A |
5204778 | Bechtel | Apr 1993 | A |
5208701 | Maeda | May 1993 | A |
5208750 | Kurami et al. | May 1993 | A |
5214408 | Asayama | May 1993 | A |
5243524 | Ishida et al. | Sep 1993 | A |
5245422 | Borcherts et al. | Sep 1993 | A |
5276389 | Levers | Jan 1994 | A |
5289321 | Secor | Feb 1994 | A |
5305012 | Faris | Apr 1994 | A |
5307136 | Saneyoshi | Apr 1994 | A |
5351044 | Mathur et al. | Sep 1994 | A |
5355118 | Fukuhara | Oct 1994 | A |
5386285 | Asayama | Jan 1995 | A |
5406395 | Wilson et al. | Apr 1995 | A |
5408346 | Trissel et al. | Apr 1995 | A |
5414461 | Kishi et al. | May 1995 | A |
5426294 | Kobayashi et al. | Jun 1995 | A |
5430431 | Nelson | Jul 1995 | A |
5434407 | Bauer et al. | Jul 1995 | A |
5440428 | Hegg et al. | Aug 1995 | A |
5444478 | Lelong et al. | Aug 1995 | A |
5451822 | Bechtel et al. | Sep 1995 | A |
5469298 | Suman et al. | Nov 1995 | A |
5530420 | Tsuchiya et al. | Jun 1996 | A |
5535144 | Kise | Jul 1996 | A |
5535314 | Alves et al. | Jul 1996 | A |
5537003 | Bechtel et al. | Jul 1996 | A |
5539397 | Asanuma et al. | Jul 1996 | A |
5550677 | Schofield et al. | Aug 1996 | A |
5555555 | Sato et al. | Sep 1996 | A |
5568027 | Teder | Oct 1996 | A |
5574443 | Hsieh | Nov 1996 | A |
5648835 | Uzawa | Jul 1997 | A |
5661303 | Teder | Aug 1997 | A |
5670935 | Schofield et al. | Sep 1997 | A |
5699044 | Van Lente et al. | Dec 1997 | A |
5724316 | Brunts | Mar 1998 | A |
5737226 | Olson et al. | Apr 1998 | A |
5757949 | Kinoshita et al. | May 1998 | A |
5760826 | Nayar | Jun 1998 | A |
5760962 | Schofield et al. | Jun 1998 | A |
5761094 | Olson et al. | Jun 1998 | A |
5765116 | Wilson-Jones et al. | Jun 1998 | A |
5781437 | Wiemer et al. | Jul 1998 | A |
5786772 | Schofield et al. | Jul 1998 | A |
5790403 | Nakayama | Aug 1998 | A |
5790973 | Blaker et al. | Aug 1998 | A |
5796094 | Schofield et al. | Aug 1998 | A |
5837994 | Stam et al. | Nov 1998 | A |
5845000 | Breed et al. | Dec 1998 | A |
5848802 | Breed et al. | Dec 1998 | A |
5850176 | Kinoshita et al. | Dec 1998 | A |
5850254 | Takano et al. | Dec 1998 | A |
5867591 | Onda | Feb 1999 | A |
5877707 | Kowalick | Mar 1999 | A |
5877897 | Schofield et al. | Mar 1999 | A |
5878370 | Olson | Mar 1999 | A |
5896085 | Mori et al. | Apr 1999 | A |
5920367 | Kajimoto et al. | Jul 1999 | A |
5923027 | Stam et al. | Jul 1999 | A |
5929786 | Schofield et al. | Jul 1999 | A |
5956181 | Lin | Sep 1999 | A |
6049171 | Stam et al. | Apr 2000 | A |
6052124 | Stein et al. | Apr 2000 | A |
6066933 | Ponziana | May 2000 | A |
6084519 | Coulling et al. | Jul 2000 | A |
6091833 | Yasui et al. | Jul 2000 | A |
6097024 | Stam et al. | Aug 2000 | A |
6100811 | Hsu et al. | Aug 2000 | A |
6175300 | Kendrick | Jan 2001 | B1 |
6198409 | Schofield et al. | Mar 2001 | B1 |
6201642 | Bos | Mar 2001 | B1 |
6222447 | Schofield et al. | Apr 2001 | B1 |
6226061 | Tagusa | May 2001 | B1 |
6259423 | Tokito et al. | Jul 2001 | B1 |
6266082 | Yonezawa et al. | Jul 2001 | B1 |
6266442 | Laumeyer et al. | Jul 2001 | B1 |
6285393 | Shimoura et al. | Sep 2001 | B1 |
6285778 | Nakajima et al. | Sep 2001 | B1 |
6294989 | Schofield et al. | Sep 2001 | B1 |
6297781 | Turnbull et al. | Oct 2001 | B1 |
6302545 | Schofield et al. | Oct 2001 | B1 |
6310611 | Caldwell | Oct 2001 | B1 |
6313454 | Bos et al. | Nov 2001 | B1 |
6317057 | Lee | Nov 2001 | B1 |
6320176 | Schofield et al. | Nov 2001 | B1 |
6320282 | Caldwell | Nov 2001 | B1 |
6353392 | Schofield et al. | Mar 2002 | B1 |
6370329 | Teuchert | Apr 2002 | B1 |
6396397 | Bos et al. | May 2002 | B1 |
6411204 | Bloomfield et al. | Jun 2002 | B1 |
6424273 | Gutta et al. | Jul 2002 | B1 |
6445287 | Schofield et al. | Sep 2002 | B1 |
6477464 | McCarthy et al. | Nov 2002 | B2 |
6498620 | Schofield et al. | Dec 2002 | B2 |
6515378 | Drummond et al. | Feb 2003 | B2 |
6516664 | Lynam | Feb 2003 | B2 |
6523964 | Schofield et al. | Feb 2003 | B2 |
6553130 | Lemelson et al. | Apr 2003 | B1 |
6559435 | Schofield et al. | May 2003 | B2 |
6570998 | Ohtsuka et al. | May 2003 | B1 |
6574033 | Chui et al. | Jun 2003 | B1 |
6578017 | Ebersole et al. | Jun 2003 | B1 |
6587573 | Stam et al. | Jul 2003 | B1 |
6589625 | Kothari et al. | Jul 2003 | B1 |
6593011 | Liu et al. | Jul 2003 | B2 |
6593565 | Heslin et al. | Jul 2003 | B2 |
6593698 | Stam et al. | Jul 2003 | B2 |
6594583 | Ogura et al. | Jul 2003 | B2 |
6611202 | Schofield et al. | Aug 2003 | B2 |
6611610 | Stam et al. | Aug 2003 | B1 |
6627918 | Getz et al. | Sep 2003 | B2 |
6631316 | Stam et al. | Oct 2003 | B2 |
6631994 | Suzuki et al. | Oct 2003 | B2 |
6636258 | Strumolo | Oct 2003 | B2 |
6648477 | Hutzel et al. | Nov 2003 | B2 |
6650233 | DeLine et al. | Nov 2003 | B2 |
6650455 | Miles | Nov 2003 | B2 |
6672731 | Schnell et al. | Jan 2004 | B2 |
6674562 | Miles | Jan 2004 | B1 |
6678056 | Downs | Jan 2004 | B2 |
6678614 | McCarthy et al. | Jan 2004 | B2 |
6680792 | Miles | Jan 2004 | B2 |
6690268 | Schofield | Feb 2004 | B2 |
6700605 | Toyoda et al. | Mar 2004 | B1 |
6703925 | Steffel | Mar 2004 | B2 |
6704621 | Stein et al. | Mar 2004 | B1 |
6710908 | Miles et al. | Mar 2004 | B2 |
6711474 | Treyz et al. | Mar 2004 | B1 |
6714331 | Lewis et al. | Mar 2004 | B2 |
6717610 | Bos et al. | Apr 2004 | B1 |
6735506 | Breed et al. | May 2004 | B2 |
6741377 | Miles | May 2004 | B2 |
6744353 | Sjönell | Jun 2004 | B2 |
6757109 | Bos | Jun 2004 | B2 |
6762867 | Lippert et al. | Jul 2004 | B2 |
6794119 | Miles | Sep 2004 | B2 |
6795221 | Urey | Sep 2004 | B1 |
6802617 | Schofield et al. | Oct 2004 | B2 |
6806452 | Bos et al. | Oct 2004 | B2 |
6807287 | Hermans | Oct 2004 | B1 |
6822563 | Bos et al. | Nov 2004 | B2 |
6823241 | Shirato et al. | Nov 2004 | B2 |
6824281 | Schofield et al. | Nov 2004 | B2 |
6831261 | Schofield et al. | Dec 2004 | B2 |
6864930 | Matsushita et al. | Mar 2005 | B2 |
6882287 | Schofield | Apr 2005 | B2 |
6889161 | Winner et al. | May 2005 | B2 |
6891563 | Schofield et al. | May 2005 | B2 |
6909753 | Meehan et al. | Jun 2005 | B2 |
6946978 | Schofield | Sep 2005 | B2 |
6953253 | Schofield et al. | Oct 2005 | B2 |
6968736 | Lynam | Nov 2005 | B2 |
6975775 | Rykowski et al. | Dec 2005 | B2 |
7004606 | Schofield | Feb 2006 | B2 |
7038577 | Pawlicki et al. | May 2006 | B2 |
7062300 | Kim | Jun 2006 | B1 |
7065432 | Moisel et al. | Jun 2006 | B2 |
7085637 | Breed et al. | Aug 2006 | B2 |
7092548 | Laumeyer et al. | Aug 2006 | B2 |
7113867 | Stein | Sep 2006 | B1 |
7116246 | Winter et al. | Oct 2006 | B2 |
7123168 | Schofield | Oct 2006 | B2 |
7133661 | Hatae et al. | Nov 2006 | B2 |
7149613 | Stam et al. | Dec 2006 | B2 |
7151996 | Stein | Dec 2006 | B2 |
7167796 | Taylor et al. | Jan 2007 | B2 |
7195381 | Lynam et al. | Mar 2007 | B2 |
7202776 | Breed | Apr 2007 | B2 |
7227459 | Bos et al. | Jun 2007 | B2 |
7227611 | Hull et al. | Jun 2007 | B2 |
7311406 | Schofield et al. | Dec 2007 | B2 |
7325934 | Schofield et al. | Feb 2008 | B2 |
7325935 | Schofield et al. | Feb 2008 | B2 |
7338177 | Lynam | Mar 2008 | B2 |
7375803 | Bamji | May 2008 | B1 |
7380948 | Schofield et al. | Jun 2008 | B2 |
7388182 | Schofield et al. | Jun 2008 | B2 |
7402786 | Schofield et al. | Jul 2008 | B2 |
7423821 | Bechtel et al. | Sep 2008 | B2 |
7425076 | Schofield et al. | Sep 2008 | B2 |
7446650 | Scholfield | Nov 2008 | B2 |
7526103 | Schofield et al. | Apr 2009 | B2 |
7532109 | Takahama et al. | May 2009 | B2 |
7541743 | Salmeen et al. | Jun 2009 | B2 |
7561181 | Schofield et al. | Jul 2009 | B2 |
7565006 | Stam et al. | Jul 2009 | B2 |
7566851 | Stein et al. | Jul 2009 | B2 |
7605856 | Imoto | Oct 2009 | B2 |
7616781 | Schofield et al. | Nov 2009 | B2 |
7619508 | Lynam et al. | Nov 2009 | B2 |
7720580 | Higgins-Luthman | May 2010 | B2 |
7786898 | Stein et al. | Aug 2010 | B2 |
7792329 | Schofield et al. | Sep 2010 | B2 |
7843451 | Lafon | Nov 2010 | B2 |
7855778 | Yung et al. | Dec 2010 | B2 |
7859565 | Schofield et al. | Dec 2010 | B2 |
7877175 | Higgins-Luthman | Jan 2011 | B2 |
7881496 | Camilleri | Feb 2011 | B2 |
7914187 | Higgins-Luthman et al. | Mar 2011 | B2 |
7914188 | DeLine et al. | Mar 2011 | B2 |
7930160 | Hosagrahara et al. | Apr 2011 | B1 |
7949486 | Denny et al. | May 2011 | B2 |
7991522 | Higgins-Luthman | Aug 2011 | B2 |
7994462 | Schofield et al. | Aug 2011 | B2 |
8017898 | Lu et al. | Sep 2011 | B2 |
8064643 | Stein et al. | Nov 2011 | B2 |
8082101 | Stein et al. | Dec 2011 | B2 |
8095310 | Taylor et al. | Jan 2012 | B2 |
8098142 | Schofield et al. | Jan 2012 | B2 |
8100568 | DeLine et al. | Jan 2012 | B2 |
8164628 | Stein et al. | Apr 2012 | B2 |
8203440 | Schofield et al. | Jun 2012 | B2 |
8224031 | Saito | Jul 2012 | B2 |
8233045 | Luo et al. | Jul 2012 | B2 |
8254635 | Stein et al. | Aug 2012 | B2 |
8300886 | Hoffmann | Oct 2012 | B2 |
8314689 | Schofield et al. | Nov 2012 | B2 |
8378851 | Stein et al. | Feb 2013 | B2 |
8421865 | Euler et al. | Apr 2013 | B2 |
8452055 | Stein et al. | May 2013 | B2 |
8534887 | DeLine et al. | Sep 2013 | B2 |
8553088 | Stein et al. | Oct 2013 | B2 |
8643724 | Schofield et al. | Feb 2014 | B2 |
8692659 | Schofield et al. | Apr 2014 | B2 |
9205776 | Turk | Dec 2015 | B2 |
9264672 | Lynam | Feb 2016 | B2 |
20020005778 | Breed | Jan 2002 | A1 |
20020011611 | Huang et al. | Jan 2002 | A1 |
20020113873 | Williams | Aug 2002 | A1 |
20030103142 | Hitomi et al. | Jun 2003 | A1 |
20030137586 | Lewellen | Jul 2003 | A1 |
20030222982 | Hamdan et al. | Dec 2003 | A1 |
20040032321 | McMahon et al. | Feb 2004 | A1 |
20040164228 | Fogg et al. | Aug 2004 | A1 |
20050219852 | Stam et al. | Oct 2005 | A1 |
20050237385 | Kosaka et al. | Oct 2005 | A1 |
20060050018 | Hutzel et al. | Mar 2006 | A1 |
20060091813 | Stam et al. | May 2006 | A1 |
20060103727 | Tseng | May 2006 | A1 |
20060250501 | Widmann et al. | Nov 2006 | A1 |
20070024724 | Stein et al. | Feb 2007 | A1 |
20070104476 | Yasutomi et al. | May 2007 | A1 |
20070109406 | Schofield et al. | May 2007 | A1 |
20070120657 | Schofield et al. | May 2007 | A1 |
20070242339 | Bradley | Oct 2007 | A1 |
20080043099 | Stein et al. | Feb 2008 | A1 |
20080147321 | Howard et al. | Jun 2008 | A1 |
20080192132 | Bechtel et al. | Aug 2008 | A1 |
20080266396 | Stein | Oct 2008 | A1 |
20090113509 | Tseng et al. | Apr 2009 | A1 |
20090160987 | Bechtel et al. | Jun 2009 | A1 |
20090190015 | Bechtel et al. | Jul 2009 | A1 |
20090256938 | Bechtel et al. | Oct 2009 | A1 |
20090290032 | Zhang et al. | Nov 2009 | A1 |
20110216201 | McAndrew et al. | Sep 2011 | A1 |
20120045112 | Lundblad et al. | Feb 2012 | A1 |
20120069185 | Stein | Mar 2012 | A1 |
20120200707 | Stein et al. | Aug 2012 | A1 |
20120314071 | Rosenbaum et al. | Dec 2012 | A1 |
20120320209 | Vico | Dec 2012 | A1 |
20130141580 | Stein et al. | Jun 2013 | A1 |
20130147957 | Stein | Jun 2013 | A1 |
20130169812 | Lu et al. | Jul 2013 | A1 |
20130286193 | Pflug | Oct 2013 | A1 |
20140022378 | Higgins-Luthman | Jan 2014 | A1 |
20140043473 | Gupta et al. | Feb 2014 | A1 |
20140063254 | Shi et al. | Mar 2014 | A1 |
20140098229 | Lu et al. | Apr 2014 | A1 |
20140160291 | Schaffner | Jun 2014 | A1 |
20140247352 | Rathi et al. | Sep 2014 | A1 |
20140247354 | Knudsen | Sep 2014 | A1 |
20140320658 | Pliefke | Oct 2014 | A1 |
20140333729 | Pflug | Nov 2014 | A1 |
20140347486 | Okouneva | Nov 2014 | A1 |
20140350834 | Turk | Nov 2014 | A1 |
Number | Date | Country |
---|---|---|
0353200 | Jan 1990 | EP |
0361914 | Feb 1993 | EP |
0640903 | Mar 1995 | EP |
0697641 | Feb 1996 | EP |
1115250 | Jul 2001 | EP |
2377094 | Oct 2011 | EP |
2667325 | Nov 2013 | EP |
2233530 | Sep 1991 | GB |
S5539843 | Mar 1980 | JP |
S58110334 | Jun 1983 | JP |
6216073 | Apr 1987 | JP |
6272245 | May 1987 | JP |
S62-131837 | Jun 1987 | JP |
01123587 | May 1989 | JP |
H1168538 | Jul 1989 | JP |
H236417 | Aug 1990 | JP |
3099952 | Apr 1991 | JP |
03099952 | Apr 1991 | JP |
6227318 | Aug 1994 | JP |
07105496 | Apr 1995 | JP |
2630604 | Jul 1997 | JP |
200274339 | Mar 2002 | JP |
20041658 | Jan 2004 | JP |
WO9419212 | Feb 1994 | WO |
WO9638319 | Dec 1996 | WO |
WO2012139636 | Oct 2012 | WO |
WO2012139660 | Oct 2012 | WO |
WO2012143036 | Oct 2012 | WO |
Entry |
---|
Achler et al., “Vehicle Wheel Detector using 2D Filter Banks,” IEEE Intelligent Vehicles Symposium of Jun. 2004. |
Behringer et al., “Simultaneous Estimation of Pitch Angle and Lane Width from the Video Image of a Marked Road,” pp. 966-973, Sep. 12-16, 1994. |
Borenstein et al., “Where am I? Sensors and Method for Mobile Robot Positioning”, University of Michigan, Apr. 1996, pp. 2, 125-128. |
Bow, Sing T., “Pattern Recognition and Image Preprocessing (Signal Processing and Communications)”, CRC Press, Jan. 15, 2002, pp. 557-559. |
Broggi et al., “Automatic Vehicle Guidance: The Experience of the ARGO Vehicle”, World Scientific Publishing Co., 1999. |
Broggi et al., “Multi-Resolution Vehicle Detection using Artificial Vision,” IEEE Intelligent Vehicles Symposium of Jun. 2004. |
Franke et al., “Autonomous driving approaches downtown”, Intelligent Systems and Their Applications, IEEE 13 (6), 40-48, Nov./Dec. 1999. |
IEEE 100—The Authoritative Dictionary of IEEE Standards Terms, 7th Ed. (2000). |
Kastrinaki et al., “A survey of video processing techniques for traffic applications”. |
Philomin et al., “Pedestrain Tracking from a Moving Vehicle”. |
Sahli et al., “A Kalman Filter-Based Update Scheme for Road Following,” IAPR Workshop on Machine Vision Applications, pp. 5-9, Nov. 12-14, 1996. |
Sun et al., “On-road vehicle detection using optical sensors: a review”, IEEE Conference on Intelligent Transportation Systems, 2004. |
Van Leeuwen et al., “Motion Estimation with a Mobile Camera for Traffic Applications”, IEEE, US, vol. 1, Oct. 3, 2000, pp. 58-63. |
Van Leeuwen et al., “Motion Interpretation for In-Car Vision Systems”, IEEE, US, vol. 1, Sep. 30, 2002, p. 135-140. |
Van Leeuwen et al., “Real-Time Vehicle Tracking in Image Sequences”, IEEE, US, vol. 3, May 21, 2001, pp. 2049-2054, XP010547308. |
Van Leeuwen et al., “Requirements for Motion Estimation in Image Sequences for Traffic Applications”, IEEE, US, vol. 1, May 24, 1999, pp. 145-150, XP010340272. |
Vlacic et al. (Eds), “Intelligent Vehicle Tecnologies, Theory and Applications”, Society of Automotive Engineers Inc., edited by SAE International, 2001. |
Zheng et al., “An Adaptive System for Traffic Sign Recognition,” IEEE Proceedings of the Intelligent Vehicles '94 Symposium, pp. 165-170 (Oct. 1994). |
Number | Date | Country | |
---|---|---|---|
20160082887 A1 | Mar 2016 | US |
Number | Date | Country | |
---|---|---|---|
61825753 | May 2013 | US |
Number | Date | Country | |
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Parent | 14282029 | May 2014 | US |
Child | 14960834 | US |