A vehicle exterior environment recognition apparatus includes a monocular distance calculator, a relaxation distance calculator, and an updated distance calculator. The monocular distance calculator calculates a monocular distance of a three-dimensional object from a luminance image generated by an imaging unit. The relaxation distance calculator calculates a relaxation distance of the three-dimensional object from two luminance images generated by two imaging units based on a degree of image matching between the two luminance images determined using a threshold more lenient than another threshold used to determine the degree of image matching to generate a stereo distance of the three-dimensional object. The updated distance calculator calculates an updated distance of the three-dimensional object by mixing the monocular distance and the relaxation distance at a predetermined ratio.

Systems and methods are directed to obtaining autonomous vehicle sensor data of an autonomous vehicle. In these system and methods that include determining a direction of motion of a vehicle based on a predicted navigational position of the vehicle, determining, based at least in part on the predicted navigational position, a change in a future light positional information that may be received by one or more sensors compared to a current light positional information being received by the one or more sensors and cleaning the one or more sensors of the vehicle prior to the change in the future light positional information and prior to the vehicle reaching the predicted navigational position.

Disclosed is a road speed limit identification method. The road speed limit identification method includes: obtaining a driving image captured during driving of a moving object; setting a region of interest in the obtained driving image and generating a grayscale-processed image on the basis of an image of the region of interest; detecting a speed limit sign image from the grayscale-processed image; calculating a first brightness value of a number region, a second brightness value of a border region, and a third brightness value of an in-border region other than the number region in the detected speed limit sign image; and identifying a speed limit displayed on a speed limit sign on the basis of the plurality of calculated brightness values.

An imaging system for a vehicle for obtaining an anti-flickering super-resolution image includes an image sensor adapted to obtain a sequence of images, and an image processor adapted to receive the sequence of images, compare image information of a most recent image of the sequence of images to a reference image to detect at least one image region of mismatch in the most recent image, remove the detected image region from image information of the most recent image to obtain adjusted image information, and add the adjusted image information of the most recent image to a super-resolution image.

In a system comprising construction machine, transport vehicle with loading space and image-recording device, wherein the image-recording device is arranged at the construction machine and aligned, as a minimum, also towards the loading space of the transport vehicle, it is specified for the following features to be achieved: that a reception and display device is arranged at or in the transport vehicle, wherein the data recorded by the image-recording device are transmitted to the reception and display device via a transmission device arranged at the construction machine.

A system for providing security functions to a vehicle may comprise a chassis and a drone. The chassis may be configured to be mounted on top of the vehicle. The chassis may include a drone port for housing a drone. The drone may include a camera. The camera of the drone may be configured to capture images of objects outside of the chassis while the drone is positioned in the drone port. A device including the chassis may be a light bar and further include lights positioned at a periphery of the device.

A method for automatically panning a view for a commercial vehicle includes determining a plurality of estimated trailer angles. Each estimated trailer angle is determined using a distinct estimation method, and method assigns a confidence value to each estimated trailer angle in the plurality of estimated trailer angles. The method determines a weighted sum of the plurality of estimate trailer angles, and automatically pans the view based at least in part on the weighted sum and a current vehicle operation.

Systems, methods, and apparatus are provided for providing multi-trailer reverse assistance. In a multi-trailer reverse assistance system in an articulated transport system comprising a lead vehicle, an intermediate trailer, and a final trailer, the reverse assist system includes a controller. The controller is configured to: receive a view of an environment behind the final trailer; cause the view to be displayed in a display screen of a user interface device; receive, via a secondary steering device of the user interface device, a user intended direction of travel of the articulated transport system in reverse to direct the final trailer in a desired direction; continuously calculate controllable steering angles for directing the articulated transport system to direct the final trailer in the desired direction; and control the articulated transport system to direct the final trailer in the desired direction using the calculated controllable steering angles.

A vehicular vision system includes a camera disposed at a rear portion of a vehicle and operable to capture image data and an image processor for processing image data captured by the camera. The vehicle has a tailgate that is pivotable about a horizontal pivot axis and movable along a downward swing path from a closed position toward an opened position. Image data captured by the camera is processed by the image processor to detect presence of an object in a field of view of the camera. The system, responsive to detection of the object, determines location of the object relative to the downward swing path of the tailgate. The system, responsive to determination that the object is located within the downward swing path of the tailgate between the closed position and the opened position, limits movement of the tailgate of the vehicle toward the opened position.

An apparatus including cameras and a processor. The cameras may generate pixel data of an exterior view from a vehicle. The processor may generate video frames from each of the cameras, perform computer vision operations on the video frames to detect an object, determine a predicted path of the object with respect to the vehicle, predict an approach side of the vehicle of the object based on the predicted path, and generate a notification in response to the predicted path. A first of the cameras may be on the approach side of the vehicle. The object may not be in a field of view captured by the first camera. The object may be detected in the video frames captured by a second of the cameras that may not be on the approach side of the vehicle. The notification may be generated before the object may be in the field of view.