Abstract:
A parking assist system of a vehicle includes a camera that, when disposed at the vehicle, has a field of view exterior of the vehicle. An image processor is operable to process image data captured by the camera to detect parking space markers indicative of a parking space and to identify empty or available parking spaces. The image processor includes a parking space detection algorithm that detects parking space markers by (i) extracting low level features from captured image data, (ii) classifying pixels as being part of a parking space line or not part of a parking space line, (iii) performing spatial line fitting to find lines in the captured images and to apply parking space geometry constraints, and (iv) detecting and selecting rectangles in the captured images.
Abstract:
A vision system of a vehicle includes a camera configured to be disposed at a vehicle so as to have a field of view exterior of the vehicle. An image processor is operable to process image data captured by the camera. The image processor is operable to determine lane markers on a road on which the vehicle is traveling. The image processor processes intensity gradient information of captured image data to determine lane markers, and, responsive to processing of captured image data, the image processor is operable to detect straight or curved lane markers. The image processor is operable to adapt the processing of lane marker image data in subsequent frames of captured image data responsive to image processing of lane marker image data in previous frames of captured image data.
Abstract:
A vision system of a vehicle includes a camera disposed at the vehicle and having a field of view exterior of the vehicle. A control has an image processor that is operable, via image processing of frames of image data captured by the camera, to detect an object present in the field of view of the camera. When the vehicle is moving, the control, responsive at least in part to vehicle motion information and image processing of frames of captured image data, determines motion of the detected object relative to the moving vehicle. The control determines the relative motion of the detected object by (i) determining corresponding object points in at least two frames of captured image data, (ii) estimating object motion trajectory of the detected object responsive to the determination of corresponding object points and (iii) determining the structure of the detected object along the estimated object motion trajectory.
Abstract:
A parking assist system of a vehicle includes a camera that, when disposed at the vehicle, has a field of view exterior of the vehicle. An image processor is operable to process image data captured by the camera to detect parking space markers indicative of a parking space and to identify empty or available parking spaces. The image processor includes a parking space detection algorithm that detects parking space markers by (i) extracting low level features from captured image data, (ii) classifying pixels as being part of a parking space line or not part of a parking space line, (iii) performing spatial line fitting to find lines in the captured images and to apply parking space geometry constraints, and (iv) detecting and selecting rectangles in the captured images.
Abstract:
A vision system of a vehicle includes a camera disposed at a vehicle and having a field of view exterior of the vehicle. The camera may have a wide angle lens with more distortion at the side regions of the field of view than at a center region of the field of view. An image processor processes captured image data to determine gradient information of captured image data, and responsive to processing gradient information, determines a potential cross traffic object at one of the side regions of the field of view. The image processor processes multiple frames of captured image data to determine movement of an upper portion and a lower portion of a gradient of the determined potential cross traffic object and, responsive to such processing, determines if the detected potential cross traffic object is a cross traffic object that is moving into the path of the vehicle.
Abstract:
A vision system of a vehicle includes a camera disposed at a vehicle and having a field of view that encompasses first and second regions exterior of the vehicle. The camera captures image data that includes a first set of image data representative of the first region of the field of view and a second set of image data representative of the second region of the field of view. An image processor processes the first set of image data to detect a pedestrian present in the first region based on a first predetermined orientation of a pedestrian. The image processor processes the second set of image data to detect a pedestrian present in the second region based on a second predetermined orientation of a pedestrian.
Abstract:
A dynamic image stitching system for stitching images captured by multiple cameras of a vision system of a vehicle includes a first camera disposed at a vehicle and having a first field of view exterior the vehicle and a second camera disposed at the vehicle and having a second field of view exterior the vehicle. The first and second fields of view at least partially overlap. A processor is operable to process image data captured by the first and second cameras. The processor processes captured image data to determine characteristics of features or objects present in the overlapping region of the first and second fields of view. The processor is operable to adjust a stitching algorithm responsive to a determination of a difference between a characteristic of a feature as captured by the first camera and the characteristic of the feature as captured by the second camera.