A vehicle hatch clearance determining system includes a plurality of cameras disposed at the vehicle and a control having a processor for processing image data captured by the cameras. During a parking event, and responsive to processing of captured image data, the system detects objects, gathers information pertaining to detected objects exterior the vehicle and generates an environmental model based at least in part on the gathered information. With the vehicle parked, the system determines location of the vehicle relative to at least one detected object of the environmental model and determines if the model includes an object in a region that would be swept by a hatch of the parked vehicle when the hatch is being opened or closed. Responsive to determination that the object is in the region that would be swept by the hatch, the system stops movement of the hatch to avoid impact with the object.

This image generation device is provided with: an image acquisition unit that acquires a rear-side image of the rear side of a vehicle; and an image generation unit. When the rear-side image includes an overlapped portion where an image region, in which an auxiliary line for assisting in the backward driving of the vehicle is overlaid, overlaps an image region in which a specific target is positioned, the image generation unit generates, in at least the overlapped portion, an image in which the auxiliary line is not overlaid or is overlaid in a semi-transparent state; and when the rear-side image does not include the overlapped portion, the image generation unit generates an image in which the auxiliary line is overlaid on the rear-side image.

A vehicle display control device includes a first image acquisition unit that acquires a first image by a first camera unit, a second image acquisition unit that acquires a second image by a second camera unit, a bird's-eye view image generation unit that generates a bird's-eye view image where a virtual vehicle image is synthesized at a center thereof based on the second image, a detection unit that performs an object recognition processing on the first image to detect a warning object, a direction calculation unit that calculates a direction of the warning object from the virtual vehicle image on a position of the warning object, and a display controller that displays the first image on a first monitor, and the bird's-eye view image and the direction of the warning object therein on a second monitor based on a position of the first camera unit in the vehicle image.

Systems and methods are provided for detecting an object in front of a vehicle. In one implementation, an object detecting system includes an image capture device configured to acquire a plurality of images of an area, a data interface, and a processing device programmed to compare a first image to a second image to determine displacement vectors between pixels, to search for a region of coherent expansion that is a set of pixels in at least one of the first image and the second image, for which there exists a common focus of expansion and a common scale magnitude such that the set of pixels satisfy a relationship between pixel positions, displacement vectors, the common focus of expansion, and the common scale magnitude, and to identify presence of a substantially upright object based on the set of pixels.

A vehicular vision system includes a rearward viewing camera and a control, which includes a processor that processes image data captured by the camera. During a reversing maneuver of the vehicle, the control, via processing of captured image data, detects points of interest of detected objects. Responsive to detection of the points of interest of the detected objects, the control determines if the detected objects have height dimensions and determines that objects having a height dimension greater than a threshold height are objects of interest. During the reversing maneuver of the vehicle, the control determines distances to the determined objects of interest and determines which object of interest is closest to the vehicle. During the reversing maneuver of the vehicle, responsive to the determination of the closest object of interest rearward of the vehicle, the control determines whether the determined closest object of interest is a potential hazard.

A vehicular vision system includes a vehicular camera disposed at a vehicle and operable to capture frames of image data. The vehicular vision system is operable to detect, via processing by an image processor of multiple frames of captured image data, when multiple objects are viewed by the vehicular camera. During a driving maneuver, and when multiple objects are detected, the vehicular vision system determines which detected object of the multiple detected objects is closest to the vehicle, and determines movement of at least the determined closest object relative to the vehicle. During the driving maneuver, and based at least in part on the determined relative movement of the determined closest object, the vehicular vision system determines whether the determined relative movement is indicative of the determined closest object being in or moving toward a position where collision may occur between the determined closest object and the vehicle.

An apparatus including cameras and a processor. The cameras may generate pixel data of an exterior view from a vehicle. The processor may generate video frames from each of the cameras, perform computer vision operations on the video frames to detect an object, determine a predicted path of the object with respect to the vehicle, predict an approach side of the vehicle of the object based on the predicted path, and generate a notification in response to the predicted path. A first of the cameras may be on the approach side of the vehicle. The object may not be in a field of view captured by the first camera. The object may be detected in the video frames captured by a second of the cameras that may not be on the approach side of the vehicle. The notification may be generated before the object may be in the field of view.

A vehicular trailer angle detection system includes a camera disposed at a rear portion of a vehicle. The system determines, via processing of frames of image data captured by the camera, features of a trailer present rearward of the vehicle and hitched to the vehicle by determining features that have similar position changes between a current frame of image data captured by the camera and a previous frame of image data captured by the camera. Responsive to movement of the trailer relative to the vehicle, and via processing of captured frames of image data, the system tracks determined features over multiple captured frames of image data for different positions of the trailer relative to the vehicle. The system determines angle of the trailer relative to the vehicle based at least in part on tracking of determined features of the trailer over multiple captured frames of image data.

An electronic mirror system presents circumstances surrounding a moving vehicle by displaying an image presenting the circumstances surrounding the moving vehicle. The electronic mirror system includes an image display and an optical system. The image display displays, every time image data is acquired from an image capturing unit, the image, based on the image data acquired from the image capturing unit, on a display screen. The image capturing unit continuously shoots video presenting the circumstances surrounding the moving vehicle. The optical system condenses, into an eye box, a light beam representing the image displayed on the display screen to make a user, who has a viewpoint inside the eye box, view a virtual image based on the image displayed on the display screen. The display screen is arranged to be tilted with respect to an optical path that leads from the display screen to the optical system (30).

A method for automatically adapting a view angle of a displayed image on a side screen of a rear vision system of a vehicle, said rear vision system having a side camera adapted to generate said displayed image according to a varying view angle between a minimal and maximal value, the method comprising following steps: obtaining instant GPS location data; obtaining a map; determining the location of the vehicle on the map at each determined interval; adapting the view angle of the displayed image in function of the location of the vehicle on the map, the view angle being set on a default value outside the merging portions and the view angle being varied according to a widening pattern along a merging portion.