Abstract:
A method of detecting and correcting flicker. A video stream of a scene at various instances of time is captured by an image capture device. A local spatio-temporal feature extraction technique is applied, by a processor, to regions of the capture scene within each frame. Candidate flickering region detection is applied, by a classifier, to identify candidate regions. Corresponding candidate regions are tracked over time to detect illumination differences within each analyzed region. An illumination correction technique is applied to the candidate regions where flickering is detected. A flicker-free video is output on a display device.
Abstract:
A system and method for providing target selection and threat assessment for vehicle collision avoidance purposes that employ probability analysis of radar scan returns. The system determines a travel path of a host vehicle and provides a radar signal transmitted from a sensor on the host vehicle. The system receives multiple scan return points from detected objects, processes the scan return points to generate a distribution signal defining a contour of each detected object, and processes the scan return points to provide a position, a translation velocity and an angular velocity of each detected object. The system selects the objects that may enter the travel path of the host vehicle, and makes a threat assessment of those objects by comparing a number of scan return points that indicate that the object may enter the travel path to the number of the scan points that are received for that object.
Abstract:
A method of displaying a captured image on a display device. A real image is captured by an image capture device. The image capture device uses a field-of-view lens that distorts the real image. A camera model is applied to the captured real image. The camera model maps objects in the captured real image to an image sensor plane of the image capture device to generate a virtual image. The image sensor plane is reconfigurable to virtually alter a shape of the image sensor plane to a non-planar surface. The virtual image formed on the non-planar image surface of the image sensor is projected to the display device.
Abstract:
A method for determining a wet road surface condition for a vehicle driving on a road. A first image exterior of the vehicle is captured by an image capture device. A second image exterior of the vehicle is captured by the image capture device. A section of the road is identified in the first and second captured images. A texture of the road in the first and second images captured by a processor are compared. A determination is made whether the texture of the road in the first image is different from the texture of the road in the second image. A wet driving surface indicating signal is generated in response to the determination that the texture of the road in the first image is different than the texture of the road in the second image.
Abstract:
A system and method for detecting a stop line on a roadway. The system and method a front view camera that generates images of the roadway. The system and method also include a controller that receives the images generated from the front view camera, including a bird's eye view image, said controller further programmed to provide a composite image that includes an original bird's eye view image and a rotated bird's eye view image. The controller is also programmed to use the composite image to determine if a stop line is present on the roadway.
Abstract:
A method for providing a high resolution display image that includes providing a camera image that can be processed into at least two different camera views. The method also includes identifying a warped grid in each of the at least two different camera views and identifying a minimum field of view for displaying each of the at least two different camera views. The method further includes cropping the camera image based on the identified minimum field of view and de-warping the at least two different camera views to provide the high resolution display image.
Abstract:
A system and method for providing online calibration of a plurality of cameras in a surround-view camera system on a vehicle. The method provides consecutive images from each of the cameras in the surround-view system and identifies overlap image areas for adjacent cameras. The method identifies matching feature points in the overlap areas of the images and estimates camera parameters in world coordinates for each of the cameras. The method then estimates a vehicle pose of the vehicle in world coordinates and calculates the camera parameters in vehicle coordinates using the estimated camera parameters in the world coordinates and the estimated vehicle pose to provide the calibration.
Abstract:
A method for generating a glare-reduced image from images captured by a camera device of a subject vehicle includes obtaining a short-exposure image and a long-exposure image and generating a resulting high dynamic range image based on the short-exposure and long-exposure images. Pixel values are monitored within both the short- and long-exposure images. A light source region is identified within both the short- and long-exposure images based on the monitored pixel values. A glaring region is identified based on the identified light source region and one of calculated pixel ratios and calculated pixel differences between the monitored pixel values of the long- and short-exposure images. The identified glaring region upon the resulting high dynamic range image is modified with the identified light source region within the short-exposure image. The glare-reduced image is generated based on the modified identified glaring region upon the resulting HDR image.
Abstract:
A system and method for providing visual assistance through a graphic overlay super-imposed on a back-up camera image displayed on, for example, a touch screen for assisting a vehicle operator when backing up a towing vehicle to align a hitch ball with a trailer drawbar coupler. The method includes providing camera modeling to correlate the camera image in camera coordinates to world coordinates, where the camera modeling provides a graphic overlay to include an alignment line having a height in the camera image that is determined by an estimated height of the trailer drawbar coupler. The touch screen also operates as a human-machine interface (HMI) that improves the visual assistance by providing one or more of image panning, image zoom, picture-in-picture (PIP), and a virtual top-down hitch-view.
Abstract:
A method for determining a wet road surface condition on a road. An image exterior of the vehicle is captured by an image capture device. A real object and a virtual object are detected in the captured image. A feature point is identified on the real object and on the virtual object. A potential virtual object associated with the real object is identified on a ground surface of the road in the captured image. The feature point detected on the real object is compared with the feature point detected on the virtual object. A determination is made whether the ground surface includes a mirror effect reflective surface in response to the feature point detected on the real object matching the feature point detected on the virtual object. A wet driving surface indicating signal is generated in response to the determination that the ground surface includes a mirror effect reflective surface.