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 driver assistance system or vision system or imaging system for a vehicle that utilizes one or more cameras to capture image data representative of images exterior of the vehicle, with one of the cameras having a field of view exterior of the vehicle with the field of view including the hitch. The vision system provides a control that includes an image processor operable to process image data captured by the camera. The image data is representative of images of the hitch. The control, responsive to image processing by the processor of image data captured by the camera, detects at least one feature of the hitch at a Cartesian coordinate location and transforms the Cartesian coordinate location of the detected feature to a cylindrical coordinate location. The control, responsive to transforming the Cartesian coordinate location of the detected feature to the cylindrical coordinate location, determines a three-dimensional (3D) location of the hitch.
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 and trailer maneuvering system or maneuver assist system and/or driving assist system operates to capture images exterior of the vehicle and trailer being towed by the vehicle and may process the captured image data to determine a path of travel for the vehicle and trailer 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 and trailer 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 may provide an output to a display device for displaying images representative of the captured image data. Optionally, the vision system may provide display, such as a rearview display or a top down or bird's eye or surround view display or the like.
Referring now to the drawings and the illustrative embodiments depicted therein, a vehicle 10 includes a trailer maneuver assist system 12 that is operable to determine a three-dimensional (3D) location of a hitch 14 and may maneuver the vehicle 10 and trailer 16 toward a desired or selected location. The trailer maneuver assist system 12 includes at least one exterior viewing vehicle-based imaging sensor or camera, such as a rearward viewing imaging sensor or camera 18 (and the system may optionally include multiple exterior viewing imaging sensors or cameras, such as a sideward/rearward viewing camera at respective sides of the vehicle), which captures image data representative of the scene exterior of the vehicle 10, which includes the hitch 14, with the camera 18 having a lens for focusing images at or onto an imaging array or imaging plane or imager of the camera (
Referring now to
Referring now to
The control may also be operable to generate a bounding box around the hitch 14, and the control detects the hitch features or points within the bounding box. The control may detect the features using any number of detection algorithms, such as speeded up robust features (SURF), scale-invariant feature transform (SIFT), binary robust invariant scalable keypoints (BRISK), etc. The control may also, after conversion to cylindrical coordinates, be operable to generate a vertical line or segment through the detected feature of the hitch 14. A primary property of the cylindrical view is that a vertical line in the cylindrical view also represents a vertical line in the 3D “real world”. Therefore, a 3D detected hitch point projected onto the ground is located on the vertical line in the cylindrical space.
Referring now to
For a selected cylindrical point pc on the selected segment 52 (e.g., cylindrical image coordinates of the point p (xpc, ypc)), the control is operable to apply a filter to the point and to determine if the point is within a threshold distance of the potential ground point 54. That is, the control may denote the corresponding coordinate of pc on a CCD array of the camera as xpa, ypa and may also denote the detected hitch point coordinates on the CCD array as xha, yha. The coordinates xpa, ypa are dependent upon point pc such that xpa=xpa(pc) and ypa=yap(pc). These projective equations (assuming that the intrinsic and extrinsic calibration values for the camera are known) may be derived into the function:
Equation (1) attains a minimum if the point pc is the ground point for the true height of the hitch.
For each point that is within the threshold, the control is operable to determine a z coordinate (i.e., height) within the cylindrical coordinates. For example, for each point {tilde over (p)}c [a, b] (i.e., for each point between a and b), using the projective equations, the height (i.e., the z coordinate) of the point may be determined (
Regardless of the method used, the control is operable to determine an average of the determined height (i.e., z coordinate) of each point within the threshold distance and determine a z coordinate of a 3D location of the hitch 14 based on the average. The control may be operable to determine an x coordinate and a y coordinate of the 3D location of the hitch 14 based on the averaged z coordinate of the 3D location of the hitch 14 (e.g., using projective equations). With the x, y, and z coordinates determined, the control determines the 3D location of the detected hitch point, and correspondingly, the 3D location of the hitch 14. The control, in some implementations, is operable to determine a respective 3D location of the hitch 14 in a plurality of image frames (e.g., determine a 3D location in each of a succession of frames of captured image data). The control averages the respective 3D locations to determine an averaged 3D location. The control may repeat this process for any number of detected features or points, and then average the determined 3D location of each point.
Because a hitch is rigidly attached to a vehicle, many typical location estimations are not possible, as the estimations are dependent upon motion. However, the present vision system may estimate a 3D location using just a single image of the hitch or hitch ball to estimate its 3D location, including its height from the ground and length. The system does not require the use of training images from a database of hitch ball images to be effective.
Referring now to
In some implementations, the hitch is detected in the fisheye space while the previously described projective equations operate in CCD array and dewarped image spaces. The vertical selected segment is applied in cylindrical space. That is, after the hitch is detected in fisheye space, the hitch point may be transformed to the dewarped space, and from the dewarped space, the hitch point may be transformed to the CCD array space. After selecting the vertical segment in the cylindrical space, each point selected from the segment may be transformed back to the CCD array space to construct the plot of the function of equation (1) (
The system of the present invention thus determines a three dimensional location relative to the vehicle and the ground and uses this determined location to assist in maneuvering the vehicle towards a trailer for hitching the trailer to the hitch of the vehicle. The system may autonomously control the vehicle toward the trailer or may provide guidance or assistance to a driver of the vehicle in maneuvering the vehicle toward the trailer. The system provides an enhanced determined location of the hitch in three dimensional space to provide enhanced maneuvering of the vehicle and hitch toward a trailer for hitching the trailer to the hitch of the vehicle.
The system may utilize aspects of the trailering or trailer angle detection systems or trailer hitch assist systems described in U.S. Pat. Nos. 9,085,261 and/or 6,690,268, and/or U.S. Publication Nos. US-2019-0064831; US-2019-0016264; US-2018-0276839; US-2018-0276838; US-2018-0253608; US-2018-0215382; US-2018-0211528; US-2017-0254873; US-2017-0217372; US-2017-0050672; US-2015-0217693; US-2014-0160276; US-2014-0085472 and/or US-2015-0002670, which are hereby incorporated herein by reference in their entireties.
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 image processing chip selected from the EYEQ family of image processing chips 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. 9,233,641; 9,146,898; 9,174,574; 9,090,234; 9,077,098; 8,818,042; 8,886,401; 9,077,962; 9,068,390; 9,140,789; 9,092,986; 9,205,776; 8,917,169; 8,694,224; 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 U.S. Publication Nos. US-2014-0340510; US-2014-0313339; US-2014-0347486; US-2014-0320658; US-2014-0336876; US-2014-0307095; US-2014-0327774; US-2014-0327772; US-2014-0320636; US-2014-0293057; US-2014-0309884; US-2014-0226012; US-2014-0293042; US-2014-0218535; US-2014-0218535; US-2014-0247354; US-2014-0247355; US-2014-0247352; US-2014-0232869; US-2014-0211009; US-2014-0160276; US-2014-0168437; US-2014-0168415; US-2014-0160291; US-2014-0152825; US-2014-0139676; US-2014-0138140; US-2014-0104426; US-2014-0098229; US-2014-0085472; US-2014-0067206; US-2014-0049646; US-2014-0052340; US-2014-0025240; US-2014-0028852; US-2014-005907; US-2013-0314503; US-2013-0298866; US-2013-0222593; US-2013-0300869; US-2013-0278769; US-2013-0258077; US-2013-0258077; US-2013-0242099; US-2013-0215271; US-2013-0141578 and/or US-2013-0002873, 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. Pat. No. 9,126,525, which are hereby incorporated herein by reference in their entireties.
The system may utilize sensors, such as radar or lidar sensors or the like. The sensing system may utilize aspects of the systems described in U.S. Pat. Nos. 9,753,121; 9,689,967; 9,599,702; 9,575,160; 9,146,898; 9,036,026; 8,027,029; 8,013,780; 6,825,455; 7,053,357; 7,408,627; 7,405,812; 7,379,163; 7,379,100; 7,375,803; 7,352,454; 7,340,077; 7,321,111; 7,310,431; 7,283,213; 7,212,663; 7,203,356; 7,176,438; 7,157,685; 6,919,549; 6,906,793; 6,876,775; 6,710,770; 6,690,354; 6,678,039; 6,674,895 and/or 6,587,186, and/or International Publication Nos. WO 2018/007995 and/or WO 2011/090484, and/or U.S. Publication Nos. US-2018-0231635; US-2018-0045812; US-2018-0015875; US-2017-0356994; US-2017-0315231; US-2017-0276788; US-2017-0254873; US-2017-0222311 and/or US-2010-0245066, which are hereby incorporated herein by reference in their entireties.
Optionally, the vision system may include a display for displaying images captured by one or more of the imaging sensors for viewing by the driver of the vehicle while the driver is normally operating the vehicle. Optionally, for example, the vision system may include a video display device, such as by utilizing aspects of the video display systems described in U.S. Pat. Nos. 5,530,240; 6,329,925; 7,855,755; 7,626,749; 7,581,859; 7,446,650; 7,338,177; 7,274,501; 7,255,451; 7,195,381; 7,184,190; 5,668,663; 5,724,187; 6,690,268; 7,370,983; 7,329,013; 7,308,341; 7,289,037; 7,249,860; 7,004,593; 4,546,551; 5,699,044; 4,953,305; 5,576,687; 5,632,092; 5,708,410; 5,737,226; 5,802,727; 5,878,370; 6,087,953; 6,173,501; 6,222,460; 6,513,252 and/or 6,642,851, and/or U.S. Publication Nos. US-2014-0022390; US-2012-0162427; US-2006-0050018 and/or US-2006-0061008, which are all 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. 16/408,613, filed May 10, 2019, now U.S. Pat. No. 10,733,757, which claims the filing benefits of U.S. provisional application Ser. No. 62/669,438, filed May 10, 2018, which is hereby incorporated herein by reference in its entirety.
Number | Date | Country | |
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62669438 | May 2018 | US |
Number | Date | Country | |
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Parent | 16408613 | May 2019 | US |
Child | 16947464 | US |