A vehicular control system includes a forward viewing camera disposed at an in-cabin side of a windshield of a vehicle and viewing forward of the vehicle. Road curvature of a road along which the vehicle is traveling is determined responsive at least in part to processing of image data captured by the camera. Responsive at least in part to processing of captured image data, speed of the vehicle is controlled by an adaptive cruise control system of the vehicle. Upon approach of the vehicle to a curve in the road along which the vehicle is traveling, speed of the vehicle is reduced by the adaptive cruise control system to a reduced speed for traveling around the curve in the road. Speed of the vehicle is increased by the adaptive cruise control system when the vehicle is traveling along a straighter section of road after the curve in the road.

Systems and methods for determining an alignment of a trailer relative to a docking bay or a vehicle bay door using dynamic depth filtering. Image data and position data is captured by a 3D camera system with an at least partially downward-facing field of view. When a trailer is approaching the docking bay or door, the captured image data includes a top surface of the trailer. A dynamic height range is determined based on an estimated height of the top surface of the trailer in the image data and a dynamic depth filter is applied to filter out image data corresponding to heights outside of the dynamic height range. An angular position and/or lateral offset of the trailer is determined based on the depth-filtered image data.

An image processing apparatus 10 includes an output unit 14 and a processor 16. The output unit 14 outputs to a movable object 12 information indicating an action to be performed by the movable object 12. The processor 16 determines a first action of the movable object 12 based on a state of a target, the state being sensed in imagery of a region around the movable object 12. The processor 16 causes the output unit 14 to output information indicating the first action. The processor 16 determines a second action of the movable object 12 based on a state of the target, the state being sensed in imagery of the region around the movable object 12, the imagery being captured after the first action of the movable object 12. The processor 16 causes the output unit 14 to output information indicating the second action at a time depending on a speed of a predetermined motion of the target. The predetermined motion of the target is a motion that the target makes before the first action is determined or after the first action of the movable object 12.

A method for detecting an object via a vehicular vision system includes disposing first and second cameras at respective locations at a vehicle so as to have respective first and second fields of view rearward of the vehicle. The locations are vertically and horizontally spaced apart by respective vertical and horizontal separation distances. With the first and second cameras disposed at the respective locations, the first field of view at least partially overlaps the second field of view. An electronic control unit (ECU) is provided that includes an image processor. Image data is captured by the cameras and provided to the ECU and processed at the ECU. The ECU, responsive to processing of captured image data and based on the separation distances, determines presence of an object in the overlapping region of the first and second fields of view and determines the location of the object relative to the vehicle.

For a vehicle (1) with a tractor (2) and a trailer (3), a view system has a capture unit (10) with an image sensor (12) for capturing image data of an area of view, around the vehicle, a processing unit (20) for processing the image data, and a reproduction unit (30) for reproducing at least one first image section (410) and one second image section (420) of the area of view (40) captured by the capture unit (10). The processing unit provides different resolutions of image data depending on the position of the tractor with respect to the trailer.

Fabrication processing is executed in a chip of an image sensor. An image capturing device includes an image capturing unit (11) mounted on a vehicle and configured to generate image data by performing image capturing of a peripheral region of the vehicle, a scene recognition unit (214) configured to recognize a scene of the peripheral region based on the image data, and a drive control unit (12) configured to control drive of the image capturing unit based on the scene recognized by the scene recognition unit.

An intelligent transparent light-shielding system applied to a vehicle includes a camera, a transparent display, and a processor. The processor converts an original driving image received from the camera into a grayscale image, converts the grayscale image into an anti-glare image according to a preset threshold, and transmits the anti-glare image to the transparent display for display. Pixels in the grayscale image with grayscale values equal to or lower than the preset threshold respectively correspond to pixels in the anti-glare image with grayscale values equal to a lower limit value. Pixels in the grayscale image with grayscale values greater than the preset threshold respectively correspond to pixels in the anti-glare image with grayscale values greater than the preset threshold. A light-shielding rate of the transparent display corresponds to the grayscale values of the pixels in the anti-glare image.

When a theme park that is a facility configured based on a specific theme is set as a departure point, an AR display device transmits information of the theme park of the departure point to a server. The server includes a theme park-specific character storage unit and a transmission unit. The theme park-specific character storage unit stores information on a character set for the theme park of the departure point. The transmission unit transmits, to the AR display device, image data of the character set for the theme park of the departure point, with the character being set as a virtual object of the departure point.

A vehicular camera calibration system includes a camera disposed at a vehicle, and an electronic control unit (ECU). The camera calibration system uses structure-from-motion during processing at the ECU of multiple frames of image data captured with the vehicle driven in a normal manner with turns involved. The camera calibration system uses a kinematic model of motion of the vehicle that is derived at least in part from vehicle data provided to the ECU. The camera calibration system, responsive to processing of multiple frames of captured image data, and based at least in part on (i) an intrinsic parameter of the camera and (ii) the kinematic model of motion of the vehicle, determines misalignment of the camera without use of a fiducial marker in a field of view of the camera and without use of reference points on the vehicle.

A vehicular trailer guidance system includes an electronic control unit (ECU), a rear backup camera and a trailer camera disposed at a rear portion of a trailer hitched to the vehicle. A display screen is disposed in the vehicle and viewable by a driver of the vehicle. With the trailer hitched to the vehicle, the display screen is operable to display video images derived from image data captured by the trailer camera. At least in part via processing at the ECU of image data captured by the trailer camera, an instruction that aids maneuvering the vehicle in reverse with the trailer hitched thereto during a reversing maneuver of the vehicle and trailer is generated. During the reversing maneuver of the vehicle and trailer, the display screen displays an alert when angling of the trailer relative to the vehicle approaches a jackknife condition.