A multi-sensor system, made up of at least two sensor units, in which the sensors may be activated at predefined target points in time on the basis of internal clocks mounted decentrally in the sensor units, in order to record data. Thus, the triggering of the sensor measurements and the assignment of measured data at the corresponding measuring points in time take place decentrally in the sensor units. So that all measuring points in time are based on a common time, the individual sensor units of the multi-sensor system may be synchronized with the aid of a synchronization signal.

A vision system for a vehicle includes a windshield camera module having a camera and a circuit board, with the camera having a field of view through the windshield and forward of the vehicle. The camera is electrically connected to circuitry established at the circuit board via a flexible electrical connection, where the circuitry (i) provides power to the camera, (ii) controls the camera and (iii) receives image data from the camera. With the camera module at the windshield, at least a portion of the circuit board is further from the windshield than the lens of the camera. With the camera module at the windshield, at least a portion of the circuit board is disposed at the windshield higher up than the lens of the camera. An image processor processes captured image data and is part of a driver assistance system of the vehicle.

A vehicle driving assist apparatus executes a vehicle collision prevention control when a target object distance from a vehicle to a target object is equal to or smaller than a predetermined distance. The apparatus acquires the target object distance on the basis of a position of the target object in a camera image taken by a camera and a height of the camera in a situation that a movable load of the vehicle is a maximum load capacity.

A method for determining the orientation of a surface of an object in a detection region before or behind a vehicle by means of a camera of the vehicle comprises the following steps: detecting a first image of the detection region by means of the camera, detecting a second image of the detection region following in time on the detecting of the first image and by means of the camera, generating of first image data corresponding to the first image and second image data corresponding to the second image, determining of eight image coordinates of four pixels each in the first image and the second image, corresponding to four points on the surface of the object, by means of the first image data and the second image data, determining of a normal vector of the surface of the object by means of the eight image coordinates, determining of the orientation of the surface of the object by means of the normal vector.

A vehicular vision system includes a plurality of cameras disposed at the vehicle and having respective fields of view exterior of the vehicle and being operable to capture frames of image data. Image data captured by each of the first camera is provided to an ECU via a respective ETHERNET link from the respective camera to the ECU. Control signals controlling operation of each camera are provided from the ECU to the respective camera via the respective ETHERNET link. Each camera receives from the ECU via the respective ETHERNET link a camera control signal that regulates timing of the respective camera to be synchronous with reference timing of the ECU. Regulation of timing of each camera includes starting the respective camera synchronous to the ECU reference timing and holding the respective camera synchronous to the ECU reference timing.

The present disclosure discloses a vehicle-mounted augmented reality system, method, and device. The system comprises a spectacles device and a vehicle body device. The spectacles device comprises: a receiving module and a projection display module. The receiving module is configured to receive information from the vehicle body device; and the projection display module is configured to perform projection or display based on the received information. The vehicle body device comprises: a motion tracking module, an information acquisition module, a processing module, and a communication module, wherein the motion tracking module is configured to determine a position and/or orientation of the spectacles device, the information acquisition module is configured to acquire vehicle-related information, the processing module is configured to determine, from the acquired information, information to be provided to the spectacles device according to the position and/or orientation of the spectacles device; and the communication module is configured to transmit the determined information to the spectacles device.

A vision system for a vehicle includes a camera module having a camera and a circuit board. With the camera module disposed at the windshield, the camera has a field of view forward of the vehicle and through the vehicle windshield. The camera includes (i) an imager and (ii) a lens. The camera is electrically connected to circuitry established at the circuit board via a flexible electrical connection. The circuitry, via the flexible electrical connection, provides power to the camera and receives image data from the camera, and may control the camera. With the camera module disposed at the windshield, the circuit board is angled relative to a principal axis of the field of view of the camera.

A closure release for a closure of a vehicle has a camera attached thereto. The closure release is moveable between a primary position and a secondary position. In the primary position, the camera is in a stowed position within the closure and the closure release is in accessible for user operation. In the secondary position, the closure release is moved relative to the closure such that the camera is moved into a deployed position to provide a desired field of view.

The present invention is capable of inspecting with high accuracy the shape of a road travel surface when travelling at a low speed, and even when acceleration, deceleration, or stoppages occur frequently, and generates a highly reproducible road surface longitudinal profile. A photograph is taken along the longitudinal direction of a travel path by a photography means in a light section method via a travel surface photography means (21). Corrected image information, in which a tilt in photographic image information has been corrected using inclination information, is generated on the basis of the photographic image information, the inclination information, and movement information via a road surface profile generation means (7), and thereafter the corrected image information is arranged using the movement information. Vertical motion information pertaining to the travel surface photography means is specified from image contents of overlapped regions. One portion of the corrected image information is cut out, and extracted image information is generated. While the height of the corrected image is corrected using the vertical motion information from the corrected image information, the extracted image information is arranged sequentially, and connected, and the road surface profile is generated.

Disclosed herein are system, method, and computer program product embodiments for locating, identifying, and tracking a known criminal, fugitive, missing person, and/or any other person of interest. An embodiment operates by deploying an unmanned aerial vehicle, determining the mode of operation of the UAV, operating the UAV in accordance with the mode of operation of the UAV, determining whether a subject has been detected, capturing a first voice sample associated with the subject, authenticating the identity of the subject, and transmitting the GPS location of the unmanned aerial vehicle to a computing device.