The invention provides an autonomous vehicle with a video camera that merges images taken a different light levels by replacing saturated parts of an image with corresponding parts of a lower-light image to stream a video with a dynamic range that extends to include very low-light and very intensely lit parts of a scene. The high dynamic range (HDR) camera streams the HDR video to a HDR system in real timeas the vehicle operates. As pixel values are provided by the camera's image sensors, those values are streamed directly through a pipeline processing operation and on to the HDR system without any requirement to wait and collect entire images, or frames, before using the video information.

A method of operating an apparatus using a control system that includes at least one neural network. The method includes receiving an input value captured by the apparatus, processing the input value using the at least one neural network of the control system implemented on first one or more solid-state chips, and obtaining an output from the at least one neural network resulting from processing the input value. The method may also include processing the output with another neural network implemented on solid-state chips to determine whether the output breaches a predetermined condition that is unchangeable after an initial installation onto the control system. The aforementioned another neural network is prevented from being retrained. The method may also include the step of using the output from the at least one neural network to control the apparatus unless the output breaches the predetermined condition. Similar corresponding apparatuses are described.

A multi-camera vision system of a vehicle includes at least four cameras disposed at a vehicle and having respective fields of view exterior of the vehicle. Each of the cameras is operable to capture image data representative of the respective field of view. Captured image data is compressed at the respective camera and the compressed image data is communicated to a control unit. The control unit includes an image processor operable to process image data. The image processor processes image data frame by frame using an indirect context model and without time wise dependency.

Systems and method are provided for a towing vehicle towing a trailer having at least one imaging device. A method includes: receiving, from a first imaging device coupled to the trailer, a first image stream having a plurality of first images; receiving, from a second imaging device coupled to the vehicle, a second image stream having a plurality of second images; determining, at least one common feature between a first image of the first images and a second image of the second images; determining a first distance from the first imaging device to the at least one common feature and a second distance from the second imaging device to the at least one common feature; and determining, a position of the first imaging device relative to the vehicle based on the first distance, the second distance and a known position and pose of the second imaging device.

A door handle assembly for a door of a vehicle includes a handle portion pivotally mounted at the handle region of the vehicle door. The handle portion is disposed at a pocket region of the handle region. A pocket lighting module includes at least one light emitting diode operable to emit light to illuminate the pocket region. The pocket lighting module is operable to emit different colors of light responsive to different triggers.

The invention relates to a method for motion estimation between two images of an environmental region (9) of a motor vehicle (1) captured by a camera (4) of the motor vehicle (1), wherein the following steps are performed: a) determining at least two image areas of a first image as at least two first blocks (B) in the first image, b) for each first block (B), defining a respective search region in a second image for searching the respective search region in the second image for a second block (B) corresponding to the respective first block (B); c) determining a cost surface (18) for each first blocks (B) and its respective search region; d) determining an averaged cost surface (19) for one of the at least two first blocks (B) based on the cost surfaces (18); d) identifying a motion vector (v) for the one of the first blocks (B) describing a motion of a location of the first block (B) in the first image and the corresponding second block (B) in the second image. The invention also relates to a computing device (3), a driver assistance system (2) as well as a motor vehicle (1).

An on-vehicle display control device includes a video data acquiring unit that acquires video data from multiple bird's-eye view video cameras for videos of a front, a rear, a left side, and a right side of a vehicle, and video data from rear side cameras for videos of rear left-side and rear right-side views of the vehicle; a bird's-eye view video generating unit that generates a bird's-eye view video by performing a viewpoint conversion and synthesizing processes on the videos of the bird's-eye view video cameras; a confirmation request detecting unit that detects a left-right situation confirmation request; and a display controller that displays, when the confirmation request is detected, on a display in a direction of the confirmation request, the video from the rear side camera in the confirmation request direction and the video in a direction corresponding to the confirmation request direction in the bird's-eye view video.

A parking assistant panoramic image system includes a lens group, a three-dimensional image synthesis module, a guidance computation module, and a display module. The lens group includes a plurality of lenses for separately shoot a plurality of external images around the vehicle. The three-dimensional image synthesis module is electrically connected to the lens group, and synthesizes the external images into a three-dimensional panoramic projection image. The guidance computation module is electrically connected to the three-dimensional image synthesis module, receives the three-dimensional panoramic projection image, detects and analyzes relative locations of the virtual vehicle body and the parking position image, and computes a parking guidance track accordingly that is a simulative route track along which the virtual vehicle body is capable of simulating driving into the parking position image. The display module receives and displays at least a part of the three-dimensional panoramic projection image and the parking guidance track.

A drive assistance system includes a display object configurator that sets, as a display object or a non-display object, each of traffic participants recognized as alert objects from among nearby traffic participants, and a display controller that performs highlight image processing for highlighting the presence of the display object. When a first traffic participant set as the display object and a second traffic participant set as the non-display object are present in the vicinity of the subject vehicle and recognized as alert objects with the recognition of the first traffic participant by the driver being detected while the highlight image processing is performed, the display object configurator compares the degrees of influence of the first and second traffic participants, sets, as the display object, one of the first and second traffic participants designated on the basis of a result of the comparison, and sets the other as the non-display object.

An apparatus for screeding concrete includes a frame, a plurality of drive wheels secured thereto, an extendable and retractable boom secured to the frame and a screed head secured to a distal end of the boom. The apparatus includes a control system operatively coupled to a plurality of cameras secured at points around the apparatus and an operator interface for displaying the view of each camera.