Abstract:
The present invention provides a collision avoidance apparatus and method employing stereo vision applications for adaptive vehicular control The stereo vision applications are comprised of a road detection function and a vehicle detection and tracking function. The road detection function makes use of three-dimensional point data, computed from stereo image data, to locate the road surface ahead of a host vehicle information gathered by the road detection function is used to guide the vehicle detection and tracking function, which provides lead motion data to a vehicular control system of the collision avoidance apparatus. Similar to the road detection function, stereo image data is used by the vehicle detection and tracking function to determine the depth of image scene features, thereby providing a robust means for identifying potential lead vehicles in a headway direction of the host vehicle.
Abstract:
The present invention provides a collision avoidance apparatus and method employing stereo vision applications for adaptive vehicular control The stereo vision applications are comprised of a road detection function and a vehicle detection and tracking function. The road detection function makes use of three-dimensional point data, computed from stereo image data, to locate the road surface ahead of a host vehicle information gathered by the road detection function is used to guide the vehicle detection and tracking function, which provides lead motion data to a vehicular control system of the collision avoidance apparatus. Similar to the road detection function, stereo image data is used by the vehicle detection and tracking function to determine the depth of image scene features, thereby providing a robust means for identifying potential lead vehicles in a headway direction of the host vehicle.
Abstract:
A method and apparatus for detecting obstacles in off-road applications. A stereo camera (202) and specific image-processing techniques (300) enable a vehicle's vision system to identify durable terrain in front of the vehicle. The method uses non-dpvable residuals(NDR), where the NDR is zero for all terrain that can be easily traversed by the vehicle and greater than zero for terrain that may not be traversable by the vehicle. The method utilizes a depth map (304) having a point cloud that represents the depth to objects withm the field of view of the stereo cameras (200,202). The depth map (304) is tiled such that the point cloud data is represented by an average (smoothed) value. The method scans pixels in the smoothed depth map to find sequences of "good" points that are connected by line segments having an acceptable slope. Points that lie outside of the acceptable slope range will have an NDR that is greater than zero. The vehicle control system (306) can use the NDRs to accurately make decisions as to the trajectory of the vehicle.
Abstract:
A method and apparatus for detecting obstacles in off-road applications. A stereo camera and specific image-processing techniques enable a vehicle's vision system to identify drivable terrain in front of the vehicle. The method uses non-drivable residuals (NDR), where the NDR is zero for all terrain that can be easily traversed by the vehicle and greater than zero for terrain that may not be traversable by the vehicle. The method utilizes a depth map having a point cloud that represents the depth to objects within the field of view of the stereo cameras. The depth map is tiled such that the point cloud data is represented by an average (smoothed) value. The method scans pixels in the smoothed depth map to find sequences of "good" points that are connected by line segments having an acceptable slope. Points that lie outside of the acceptable slope range will have an NDR that is greater than zero. The vehicle control system can use the NDRs to accurately make decisions as to the trajectory of the vehicle.