Provided is a driving support device configured to: generate a bird's-eye view image around an own vehicle from periphery images acquired from a plurality of periphery monitoring cameras, and generate a cropped bird's-eye view image by cropping an image of a cropping range including a blind spot range from the generated bird's-eye view image; generate a rear-lateral side converted image by converting a rear-lateral side direction image acquired from a rear-lateral side monitoring camera into an image in which left and right are inverted; and generate a combined image in which the generated cropped bird's-eye view image and the generated rear-lateral side converted image are arranged, and control a display device such that the generated combined image is displayed by the display device.

An on-board vehicle system and method for camera or sensor-based parking spot detection and identification is provided. This system and method utilizes a standard front (or side or rear) camera or sensor image to detect and identify one or more parking spots at a distance via vector or like representation using a deep neural network trained with data annotated using an annotation tool, without first transforming the standard camera or sensor image(s) to a bird's-eye-view (BEV) or the like. The system and method can be incorporated in a driver-assist (DA) or autonomous driving (AD) system.

A trailer assist system for a vehicle includes a camera disposed at a rear portion of a vehicle and viewing a trailer hitch disposed at the vehicle. A control includes an image processor that processes image data captured by the camera that is representative of images of the trailer hitch viewed by the camera. The control, responsive to processing at the control of image data captured by the camera, detects a feature of the trailer hitch at determines Cartesian coordinates of the trailer hitch location and transforms the Cartesian coordinates of the detected feature to cylindrical coordinates. The control, responsive at least in part to determining the cylindrical coordinates of the detected feature, determines a three-dimensional location of the trailer hitch at the vehicle.

A display control device mounted on a vehicle having a parking support function controls a display to display a rear image captured by a rear camera. The display control device acquires the rear image captured by the rear camera; and superimposes, in response to the parking support function being activated, a target image item indicating a target parking position at a predetermined position of the rear image which corresponds to the target parking position. The display control device superimposes at least a part of the target image item in translucent manner on the rear image, and superimpose, on the rear image, an emphasized image item that emphasizes at least four corners of the target image item.

A travel-environment display apparatus includes a generating unit that repeatedly generates a travel-environment image of a vehicle, and a display device that updates display in accordance with the travel-environment images. The generating unit generates an image including a vehicle object corresponding to the vehicle as viewed from a rear viewpoint and a linear road-surface object extending distantly from the vehicle object to correspond to a road, lane, or lane boundary line along which the vehicle is traveling. The generating unit also moves the vehicle object between two lanes expressed by the linear road-surface object between the travel-environment images, and changes an orientation of the linear road-surface object such that a far area thereof from the viewpoint significantly moves toward an opposite side from a lane-changing direction of the vehicle, as compared with a near area, and then moves back, when the vehicle performs a lane change between the two lanes.

The current disclosure relates to a panoramic look-around view generation method, an in-vehicle device and an in-vehicle system. The method comprises the following steps of: acquiring images of areas around a vehicle, steering wheel angle information and vehicle speed information; transforming and mosaicking the images to generate a time-related look-around view, and using an ORB algorithm to extract characteristic points; using steering wheel angle information and vehicle speed information to calculate a positron of a characteristic point of the look-around view at previous time in the look-around view at current time according to a vehicle motion model, and selecting a characteristic point located near the position in the look-around view at current time to be matched with the characteristic point of the look-around view at previous time; calculating an affine transformation matrix and performing affine transformation, and performing weighted fusion with the look-around view at current time and storing it; repeating the above steps to obtain a continuously updated panoramic look-around view, The method, the device and the system can eliminate blind area in the underbody region, realize a panoramic perspective view, and have fast calculation and high accuracy.

An apparatus includes an interface and a processor. The interface may be configured to receive pixel data corresponding to an exterior view from a vehicle. The processor may be configured to (a) process the pixel data arranged as video frames, (b) generate video data for a display in response to the video frames, (c) store a plurality of view preferences for the display, (d) determine (i) a current location of the vehicle, (ii) a current status of the vehicle, (iii) a current maneuver being performed, and (iv) which portion of the current maneuver is being performed, and (e) generate an output signal to select a view for the display. Each view preference generally corresponds to one or more of (i) a location, (ii) a vehicle status, (iii) a maneuver, and (iv) a portion of the maneuver, when the maneuver comprises more than one portion. The processor may switch between a plurality of view preferences associated with the maneuver based on a plurality of precise locations corresponding to a plurality of portions of the maneuver. The processor may determine a current precise location within the maneuver by calculating distances using image-based localization applied to the video frames. The output signal may be generated in response to the current precise location within the maneuver and the current status matching the precise location and the vehicle status, respectively, of a particular one of the plurality of view preferences corresponding to the plurality of portions of the maneuver. The view selected may be determined based on the particular one of the plurality of view preferences.

A control section generates an overhead surround view composite image by combining image data acquired by plural cameras, and, combines the image data to generate a wide-range rear image, a left rear image, a right rear image, a front image and a rear image. The control section calculates angles of view of the image data that were used in generating the wide-range rear image, the left rear image, the right rear image, the front image and the rear image, respectively. The control section displays any of the wide-range rear image, the left rear image, the right rear image, the front image and the rear image in a first display region, and displays information expressing angles of view corresponding to images displayed in the first display region in a second display region in a manner of being superimposed on the overhead surround view composite image.

A map points-of-change detection device includes: a camera capturing an image of an area around a vehicle; a bird's-eye-view transformation section transforming the image into a bird's-eye view image; a map storage portion storing a road map including a road surface map; a collation processing section determining whether a point of change in the road surface map exits, the point of change being a position at which a change has occurred on an actual road surface; and a collation region identification section that determines a region for collation in a width direction of the vehicle from the bird's-eye view image.

A surrounding vehicle display device includes: a surrounding information detection device that obtains information on surroundings of a host vehicle; a virtual image generation unit that uses the information obtained by the surrounding information detection device to generate a virtual image that indicates the surroundings of the host vehicle as being viewed from above the host vehicle; and a controller that starts examination of whether to perform the auto lane change before performing the auto lane change. The controller starts the examination of whether to perform the auto lane change before performing the auto lane change and then makes a display region of the surroundings of the host vehicle on the virtual image wider than a display region before the examination is started.