A vehicular multi-camera surround view system includes a front camera, a driver-side camera, a passenger-side camera and a rear backup camera. Image data captured by the cameras is conveyed to an electronic control unit, which is operable to combine image data conveyed from the front camera, the driver-side camera, the passenger-side camera and said the backup camera to form composite video images, and to output the composite video images to a display device of the vehicle. The electronic control unit is operable to process image data from the rear backup camera to form rear backup video images derived solely from image data captured by the rear backup camera and to output the rear backup video images to the display device. The rear backup video images are displayed no later than 2 seconds after the driver of the vehicle first changes propulsion of the vehicle during a new ignition cycle to reverse mode.

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 method for producing a surroundings map of a transportation vehicle textured with image information, including detecting at least first and second image information from vehicle surroundings using at least one transportation vehicle-mounted camera device; producing a surroundings map of the transportation vehicle; determining at least one area of the surroundings map in which both the first and second sets of image information are present; and selecting either the first or the second set of image information for texturing the area of the surroundings map according to at least one of the following criteria: selecting the image information with the highest resolution and selecting the latest image information. Also disclosed is an arrangement for producing a surroundings map of a transportation vehicle textured with image information and a transportation vehicle having the arrangement.

Disclosed is a vehicular around view image providing apparatus including a first camera configured to generate a first image, a second camera configured to generate a second image, and a processor configured to generate an around view image by matching a plurality of images including the first image and the second image, to compare a first feature of a first object detected based on the first image with a second feature of the first object detected based on the second image, and to perform calibration on at least one of the first image, the second image, or the around view image.

A display control device includes a processor. The processor being configured to: gather a captured image from an imaging section that captures images of outside a vehicle; in a case in which an event notifiable to a driver of the vehicle has been detected based on peripheral information relating to a periphery of the vehicle, generate an interruption image including a captured image relating to the event and information indicating a direction in which the event has arisen relative to the vehicle; and perform processing to display the generated interruption image in a notification region configuring part of a display region of a display device that is visible to the driver of the vehicle.

According to the present disclosure, an apparatus and a method for around view monitoring using a LIDAR are provided. An around view monitoring apparatus according to the present disclosure includes: a traveling environment detector that detects traveling environment information for front, rear, left, and right detection areas of a vehicle using a LIDAR; a boundary extractor that extracts outlines of objects positioned in the detection areas and lanes from the detected traveling environment information; a video generator that generates images frames of the detection areas of the vehicle based on the outlines of the objects and the lanes that are extracted and generates a traveling environment video by combining the image frames; and a traveling environment outputter that outputs the generated traveling environment video.

A display control device includes: an image data acquisition unit configured to acquire image data as a result of imaging by an imaging unit that images a situation around a vehicle; and a display processing unit configured to display, on a display unit, a peripheral image indicating the situation around the vehicle generated based on the image data and also display, on the peripheral image, a first vehicle image indicating a current state of the vehicle and a second vehicle image indicating a future state of the vehicle when the vehicle moves toward a target position and to change a display mode of at least one of the first vehicle image and the second vehicle image according to a remaining distance to the target position of the vehicle.

In an image generation apparatus, an image acquisition unit is configured to acquire, from at least one camera operable to capture an image of surroundings of a vehicle, a captured image. A bird's-eye view image generation unit is configured to generate a bird's-eye view image from the captured image. A three-dimensional object recognition unit is configured to recognize a three-dimensional object in the captured image. A superimposition-image acquisition unit is configured to acquire a superimposition image that represents the three-dimensional object recognized by the three-dimensional object recognition unit, by performing a process depending on a type of the three-dimensional object recognized by the three-dimensional object recognition unit. A superimposition unit is configured to superimpose, onto the bird's-eye view image, the superimposition image acquired by the superimposition-image acquisition unit, at a position where the three-dimensional object is present in the bird's-eye view image.

A periphery monitoring device includes cameras that detects a periphery of a hydraulic shovel, a periphery monitoring monitor that displays a bird's-eye image based on image information acquired by the cameras, and a state switching control unit that controls mode switching between a periphery monitoring mode and a monitoring pause mode. The state switching control unit transitions to the periphery monitoring mode in a case where an input of a key-on manipulation with respect to the hydraulic shovel is received in the monitoring pause mode. In the monitoring pause mode, it is possible to transition to the periphery monitoring mode in time faster than transition from a power-OFF state.

A method of correcting misalignment of a vehicular camera includes disposing a camera at a vehicle at a vehicle assembly plant and calibrating the camera at the vehicle while the vehicle is at the vehicle assembly plant. Frames of image data are captured with the camera as the vehicle is driven along an arbitrary path along a road, and the captured frames of image data are processed by a processor. As the vehicle is driven along the arbitrary path, at least one feature present in the frames of captured image data is determined and tracked to determine misalignment of the camera. The determined camera misalignment is corrected (i) without use of a target in the field of view of the camera and (ii) without processing of frames of image data captured by the camera that are representative of a target in the field of view of the camera.