A vehicular collision mitigation method includes disposing at a vehicle a plurality of cameras, at least two non-camera sensors, and a control that processes data captured by the cameras and non-camera sensors. When the equipped vehicle is traveling forward, and via processing at the control of provided data captured by the forward viewing camera and the at least two non-camera sensors, it is determined if the vehicle is approaching a pedestrian or other vehicle forward of the vehicle. Responsive to such determination, braking by an automatic emergency braking system is controlled to mitigate collision with the pedestrian or other vehicle. Responsive to determination that a following vehicle is following the vehicle within a threshold distance from the vehicle and is approaching the vehicle above a threshold rate of approach, braking by the automatic emergency braking system is adjusted to mitigate collision at the rear of the vehicle by the following vehicle.

A vehicular vision system includes a plurality of cameras including a rear camera disposed at a rear portion of a vehicle and having at least a rearward field of view and a front camera disposed at a front portion of the vehicle and having at least a forward field of view. Responsive to processing at an electronic control unit of provided vehicle data, the vehicular vision system determines a vehicle motion vector during maneuvering of the vehicle. Responsive to image processing at the electronic control unit of frames of captured image data, the vehicular vision system determines an object present in the field of view of a camera of the plurality of cameras and determines movement of the object relative to the vehicle. The vehicular vision system compares the determined relative movement of the object to the determined vehicle motion vector to determine misalignment of the camera.

A vehicle information display device 100 includes: an environment determination unit (115) that predicts an occurrence of a backward movement of a vehicle based on an output from an environment information acquisition unit, an image processing unit (121) that receives an image captured by a camera and generates an image to be displayed on a display screen, and a display switching unit that switches a display of a monitor screen provided in a vehicle in accordance with a traveling status of the vehicle. When the environment determination unit (115) predicts an occurrence of a backward movement, the image processing unit (121) starts image processing for the backward movement in advance, and When the user performs the backward movement operation, the output image from the image processing unit is displayed on the display screen.

A virtual visor system is disclosed that includes a visor having a plurality of independently operable pixels that are selectively operated with a variable opacity. A camera captures images of the face of a driver or other passenger and, based on the captured images, a controller operates the visor to automatically and selectively darken a limited portion thereof to block the sun or other illumination source from striking the eyes of the driver, while leaving the remainder of the visor transparent. The virtual visor system advantageously updates the optical state with blocker patterns that including padding in excess of what is strictly necessary to block the sunlight. This padding advantageously provides robustness against errors, allows for a more relaxed response time, and minimizes frequent small changes to the position of the blocker in the optical state of the visor.

Systems and methods for fisheye camera calibration and BEV image generation in a simulation environment. This fisheye camera calibration enables the extrinsic and intrinsic parameters of the fisheye camera to be computed in the simulation environment, where data is readily available, collectible, and manipulatable. Given a surround vision system, with multiple fisheye cameras disposed around a vehicle, and these extrinsic and intrinsic parameters, undistorted and BEV images of the surroundings of the vehicle can be generated in the simulated environment, for simulated fisheye camera testing and validation, which may then be extrapolated to real-world fisheye camera testing and validation, as appropriate. Because the simulation tool can be used to create and readily manipulate the simulated fisheye camera, the vehicle, its surroundings, obstacles, targets, markers, and the like, the entire calibration and image generation process is streamlined and may be automated.

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 correction system, which is capable of transmitting data indicating an image captured by a vehicle-mounted camera to a display device via a vehicle device and an external device, is configured to: detect, with respect to a predetermined orientation, an inclination of a photographed image that indicates the image captured by the camera; and correct the detected inclination of the photographed image to a target orientation and generating a display image to be displayed on the display device.

A control method and apparatus are provided. The method is used to control an image shooting apparatus. The image shooting apparatus includes one camera or at least two cameras. The method includes: obtaining an instruction and/or cockpit information; generating control signaling according to the instruction and/or the obtained cockpit information; and when the image shooting apparatus includes one camera, controlling a space state of the camera of the image shooting apparatus by using the control signaling, or when the image shooting apparatus includes at least two cameras, controlling space states of some or all of the cameras by using the control signaling, so that at least one camera of the image shooting apparatus is flexibly controlled, and flexible changes of the space states of the cameras can meet requirements of a user for different multimedia scenarios. This improves user experience.

An image recording device for a vehicle includes: an image acquisition section configured to acquire a surroundings image in which vehicle surroundings have been captured; an image display section configured to display an overlaid image in a display region inside a vehicle cabin in a case in which a predetermined assisted driving condition has been satisfied, the overlaid image being configured by an assistance image overlaid on the surroundings image acquired by the image acquisition section; and an image recording section configured to record the overlaid image at a recording section during an assisted driving state in which the overlaid image is being displayed in the display region, and, in a case in which the assisted driving state is not in effect, record at the recording section an image that has been subjected to image processing including processing to render a state in which the assistance image is not visible.

The present disclosure is directed to apparatuses, systems and methods for automatically classifying images of occupants inside a vehicle. More particularly, the present disclosure is directed to apparatuses, systems and methods for automatically classifying images of occupants inside a vehicle by comparing current image feature data to previously classified image features.