A surround view system for a vehicle includes a processor (10) and cameras (2 to 5) that can be arranged on the vehicle so that the cameras (2 to 5) can record images of an outside environment of the vehicle. The processor is configured to analyze a position () and/or a movement of a movable part (14) of the vehicle (1) and to generate a composite image of the outside environment from individual images recorded by the cameras. Furthermore, the processor is configured to calculate an image processing region within the composite image for an adaptive image processing, to determine, based on the analyzed position and/or movement of the movable part (14), that a back-projection of the movable part (14) goes beyond the image processing region, and to modify the image processing region so that the back-projection of the movable part (14) is within the modified image processing region.

An image processing device includes: an acquisition unit that acquires a first image based on captured image data output from an image capturing unit that captures a surrounding situation of a vehicle; an intermediate image generating unit that generates a second image by executing an intermediate image generating process of executing a viewpoint converting process of converting the first image from a viewpoint of the first image into a viewpoint of a final image displayed on a display area of a display device and changing a number of pixels of the converted image to a second number of pixels larger than a final number of pixels of the final image; and a final image generating unit that executes a reduction process such that the second number of pixels is set to the final number of pixels.

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 rear backup vision system includes a rear backup digital color camera and a display device including a video display screen disposed in an interior cabin of the vehicle and viewable by a driver of the vehicle. Upon initial ignition on of the vehicle that commences a new ignition cycle of the vehicle, the rear backup digital color camera is electrically powered. After engine startup of the vehicle, the vehicular rear backup vision system displays on the video display screen rear backup color video images solely derived from image data captured by the rear backup digital color camera no later than 2 seconds after the driver of the vehicle first shifts a vehicle transmission of the vehicle into reverse gear to commence a first backup event. The rear backup digital color camera remains electrically powered at least until the first backup event is completed.

An information processing apparatus according to an embodiment includes one or more processors configured to: acquire an image and three-dimensional point information on a three-dimensional point of acquired surroundings of the image; assign an attribute to each region in the image; set, to the three-dimensional point, the attribute assigned to the corresponding region in the image; and generate an obstacle map based on the three-dimensional point information and the attribute that is set to the three-dimensional point.

The invention relates to a method for generating a representation of an environment (U) of a vehicle (1) including the steps of: capturing respective images by means of a first camera (2) and a second camera (2) generating a virtual image (31) of a virtual camera (3) from the images, wherein at least a first perspective, in which the environment (U) of the vehicle (1) is represented from a bird's eye perspective, for a first virtual camera position (33) and a second perspective, in which exclusively an area of the environment (U) of the vehicle (1) rearwards related to the vehicle (1) is represented, for a second virtual camera position (44) of the virtual camera (3) are selectable for the virtual image.

In order to allow an improved overview, it is provided that the representation of the environment (U) by the virtual image (31) is adapted to a shift of the virtual camera (3) towards an interior mirror (8) of the vehicle (1) upon switching from the first perspective to the second perspective of the virtual image (31) and to a rotation of the virtual camera (3) upon reaching a mirror plane of the interior mirror (8).

A driver assistance apparatus according to an embodiment of the present invention includes: a first camera configured to capture a first video of the vicinity of a vehicle; a second camera configured to capture a second video of the vicinity of the vehicle; a processor configured to extract a first edge of an object included in a first stitching region in which the first video and the second video of the vicinity of the vehicle are connected; and a display unit configured to overlap and display the first edge and a synthetic video of the first and second videos of the vicinity of the vehicle except for the first stitching region, wherein the first stitching region is a fixed region included in the first video and the second video of the vicinity of the vehicle.

There is disclosed a system to assist in parking a vehicle. The system includes an overhead sensor, a controller adapted to receive instructions from a remote device to set an optimum parking position, and wherein the controller is adapted to display one or more guidelines on a display screen in the vehicle to indicate the position of the vehicle in relation to the optimum parking position.

A vehicle and a control method may determine a state of a vehicle or a slope of a road surface using an image acquired by the vehicle, and provide a top view image with less distortion by correcting the image based on the state of the vehicle and the slope of the road surface. The vehicle includes a display; an image acquiring unit to acquire an image around the vehicle; and a controller to change the image around the vehicle based on a difference between the image around the vehicle and a predetermined reference line and to output the changed image to the display.

The present technology relates to an imaging control device and method, and a vehicle that enable distance measurement with higher accuracy. An imaging control unit controls imaging by a stereo camera system including at least a set of cameras arranged in a vertical direction, the set of cameras including at least one camera arranged to have an optical axis directed obliquely downward, and a monitoring processing unit performs monitoring processing on the basis of an image captured by the stereo camera system. For example, distance measurement processing is performed on the basis of an image captured by at least the set of cameras arranged to have at least one optical axis directed obliquely downward on a side surface of the vehicle. The present technology can be applied to driving assistance of a vehicle.