An overhead image generation device includes: an image acquisition unit that acquires a peripheral image by capturing an image of a periphery of a vehicle; an approach information acquisition unit that acquires approach information indicating an approach state of an obstacle detected in the periphery of the vehicle to the vehicle; an overhead image generation unit that generates an overhead image A from the peripheral image by performing viewpoint conversion processing so as to look down on the vehicle from above in a vertical direction; an approach state image generation unit that generates an approach state image B showing an approach state of the obstacle to the vehicle for each position of the vehicle in the vertical direction, based on the approach information; and a display control unit that superimposes the overhead image A and the approach state image B and causes a display unit to display the superimposed image.

Embodiments of the present disclosure relate to a camera monitor system providing areas of importance to a driver, to a corresponding vehicle and to a method for operating such a camera monitor system comprising at least two separate cameras arranged to record camera views of the surrounding of the vehicle being different for each camera and at least one monitor with a monitor screen suitably arranged to provide the recorded camera views on the screen at least to the driver of the vehicle, wherein the provided camera views and/or an arrangement of the different recorded camera views on the monitor screen depend(s) on a status of the vehicle, wherein a control unit is adapted to observe the status of the vehicle and to alter the arrangement of the camera views provided on the screen in dependence on the observed status of the vehicle.

A vehicular vision system includes a plurality of cameras disposed at a vehicle and capturing image data as the equipped vehicle is driven along a traffic lane of a road. Captured image data is processed to detect a rearward-approaching vehicle and determine a path of travel of the detected rearward-approaching vehicle. Responsive to determining that the path of travel of the detected rearward-approaching vehicle is along a side traffic lane adjacent to the traffic lane along which the equipped vehicle is driven, the vehicular vision system (i) displays at a video display screen video images derived at least from image data captured by the side camera that is at the side portion of the equipped vehicle that is adjacent to the side traffic lane and (ii) overlays a transparent graphic overlay overlaying the displayed video images that is based on the determined path of travel of the detected rearward-approaching vehicle.

The present invention improves the accuracy of detection of a three-dimensional object. A three-dimensional object detecting device generates a mask image 90 that masks regions outside a three-dimensional object candidate region in a difference image G of a first overhead image F1 and a second overhead view image F2 for which the imaging locations O are mutually aligned, identifies a near ground contact line L1 of a three-dimensional object based on a masked difference image wherein the difference image G is masked with the mask image 90, finds an end point of the three-dimensional object based on the masked difference image Gm, identifies the width of the three-dimensional object based on a distance between a non-masking region boundary N and the end point V of the three-dimensional object in the mask image 90, identifies a far ground contact line L2 of the three-dimensional object based on the width of the three-dimensional object and the near ground contact line L1, and identifies the location of the three-dimensional object in the difference image G based on the near ground contact line L1 and the far ground contact line L2.

In a method for determining the geographic position and orientation of a vehicle, an image of the vehicle's surroundings is recorded by at least one camera of the vehicle, wherein the recorded image at least partially comprises regions of the vehicle's surroundings on the ground level. Classification information is generated for the individual pixels of the recorded image and indicates an assignment to one of several given object classes, wherein based on this assignment, a semantic segmentation of the image is performed. Ground texture transitions based on the semantic segmentation of the image are detected. The detected ground texture transitions are projected onto the ground level of the vehicle's surroundings. The deviation between the ground texture transitions projected onto the ground level of the vehicle's surroundings and ground texture transitions in a global reference map is minimized. The current position and orientation of the vehicle in space is output based on the minimized deviation.

A vehicular vision system includes a plurality of cameras and an ECU. The cameras are in communication with one another via a vehicle network and image data captured by the cameras is provided to the ECU. Responsive to a type of driving maneuver of the vehicle, (i) the ECU generates a first control signal that enables automatic control of exposure, gain and white balance of one camera of the plurality of cameras and (ii) the ECU generates respective second control signals that disable automatic control of exposure, gain and white balance of at least one other camera of the plurality of cameras. Responsive to processing of captured image data, composite video images derived from image data captured by the plurality of cameras are synthesized, and composite images are displayed that provides bird's eye view video images derived from video image data captured by the cameras.

A trailering assist system for a vehicle includes a camera disposed at a rear portion of a vehicle and having a field of view rearward of the vehicle, the field of view encompassing at least a portion of a trailer rearward of the vehicle. The camera captures image data, which is representative of at least a front profile of the trailer, which includes a trailer coupler of the trailer. An ECU includes an image processor that processes image data captured by the camera. The ECU, responsive to image processing of captured image data, determines a location of the front profile of the trailer relative to the vehicle. Responsive to determining the location of the front profile, the ECU determines a plurality of outline landmarks that represent a shape of the front profile of the trailer. Based on the determined outline landmarks, the ECU determines a location of the trailer coupler.

An apparatus and method for providing a top view image of a parking space are provided. The apparatus includes a steering angle sensor that measures a steering angle of a vehicle, a top view image generator that generates a top view image of a parking space depending on travel of the vehicle, a display that displays the top view image generated by the top view image generator, and a controller that captures the top view image displayed by the display and generates a panorama top view image by connecting the current top view image generated by the top view image generator and the captured previous top view image, based on the steering angle measured by the steering angle sensor.

A parking assist apparatus includes an ECU. The ECU displays a first left support image on a predetermined display area of a touch panel display section so that an entire area of a tentative target parking space is displayed within the predetermined display area, based on a relative position of the tentative target parking space with respect to a vehicle.

A controller of a drone includes a storage unit that stores a scene information database containing a plurality of scene information sets arranged in time series of a video, in each of the scene information sets, a relative position with respect to a vehicle in capturing a scene of the video and a duration of the scene are associated with each other, a vehicle information acquisition unit that receives vehicle information from the vehicle, a traveling position estimation unit that estimates a future traveling position of the vehicle based on the vehicle information, and a flight path calculation unit that, based on the estimated traveling position and the scene information database, calculates, for each of the scenes, a flight path that passes through the relative position with respect to the vehicle.