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 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 to equip a vehicle to perform object detection and tracking and a surround view camera system to perform the object detection and tracking involve two or more cameras arranged respectively at two or more locations of the vehicle. The cameras capture images within a field of view of the two or more cameras. A processing system obtains the images from the two or more cameras and performs image processing to detect and track objects in the field of view of the two or more cameras.
Abstract:
A method for autonomously aligning a tow hitch ball on a towing vehicle and a trailer drawbar on a trailer through a human-machine interface (HMI) assisted visual servoing process. The method includes providing rearview images from a rearview camera. The method includes touching the tow ball on a display to register a location of the tow ball in the image and touching the drawbar on the display to register a location of a target where the tow ball will be properly aligned with the drawbar. The method provides a template pattern around the target on the image and autonomously moves the vehicle so that the tow ball moves towards the target. The method predicts a new location of the target as the vehicle moves and identifies the target in new images as the vehicle moves by comparing the previous template pattern with an image patch around the predicted location.
Abstract:
A system and method for providing lane sensing on a vehicle by detecting roadway lane-markers, where the system employs a surround view camera system providing a top-down view image around the vehicle. The method includes detecting left-side and right-side lane boundary lines in the top-down view image, and then determining whether the lane boundary lines in the image are aligned from one image frame to a next image frame and are aligned from image to image in the top-down view image. If the boundary lines are not aligned, then calibration of one or more of the cameras is performed, and if the lines are aligned, then a model fitting process is used to specifically identify the location of the boundary lines on the roadway.
Abstract:
A method for monitoring a vehicle operator can be executed by a controller and includes the following steps: (a) receiving image data of a vehicle operator's head; (b) tracking facial feature points of the vehicle operator based on the image data; (c) creating a 3D model of the vehicle operator's head based on the facial feature points in order to determine a 3D position of the vehicle operator's head; (d) determining a gaze direction of the vehicle operator based on a position of the facial feature points and the 3D model of the vehicle operator's head; (e) determining a gaze vector based on the gaze direction and the 3D position of the vehicle operator's head; and (f) commanding an indicator to activate when the gaze vector is outside a predetermined parameter.
Abstract:
An apparatus for capturing an image includes a plurality of lens elements coaxially encompassed within a lens housing. One of the lens elements includes an aspheric lens element having a surface profile configured to enhance a desired region of a captured image. At least one glare-reducing element coaxial with the plurality of lens elements receives light subsequent to the light sequentially passing through each of the lens elements. An imaging chip receives the light subsequent to the light passing through the at least one glare-reducing element. The imaging chip includes a plurality of green, blue and red pixels.
Abstract:
A method for determining an Eyes-Off-The-Road (EOTR) condition exists includes capturing image data corresponding to a driver from a monocular camera device. A detection of whether the driver is wearing eye glasses based on the image data using an eye glasses classifier. When it is detected that the driver is wearing eye glasses, a driver face location is detected from the captured image data and it is determined whether the EOTR condition exists based on the driver face location using an EOTR classifier.
Abstract:
A method for detecting an eyes-off-the-road condition based on an estimated gaze direction of a driver of a vehicle includes monitoring facial feature points of the driver within image input data captured by an in-vehicle camera device. A location for each of a plurality of eye features for an eyeball of the driver is detected based on the monitored facial features. A head pose of the driver is estimated based on the monitored facial feature points. The gaze direction of the driver is estimated based on the detected location for each of the plurality of eye features and the estimated head pose.
Abstract:
A method for displaying a captured image on a display device. A real image is captured by a vision-based imaging device. A virtual image is generated from the captured real image based on a mapping by a processor. The mapping utilizes a virtual camera model with a non-planar imaging surface. Projecting the virtual image formed on the non-planar image surface of the virtual camera model to the display device.