Changes in ambient light intensity are detected by processing image data from an image capture device to determine, iteratively, a signal-to-noise ratio of the image data. The signal-to-noise ratio is a ratio of average to variance of pixel values for some of the pixels forming the image. A control outputis generated, based on the signal-to-noise ratio, that is responsive to changes in ambient light intensity. The control output is used control a light source of a vehicle.

Aspects of the disclosure relate to determining perceptive range of a vehicle in real time. For instance, a static object defined in pre-stored map information may be identified. Sensor data generated by a sensor of the vehicle may be received. The sensor data may be processed to determine when the static object is first detected in an environment of the vehicle. A distance between the object and a location of the vehicle when the static object was first detected may be determined. This distance may correspond to a perceptive range of the vehicle with respect to the sensor. The vehicle may be controlled in an autonomous driving mode based on the distance.

A camera for a vehicle vision system includes a housing having a front housing portion with a lens barrel and lens assembly, and a rear housing portion with a connector. The front and rear housing portions are mated together to establish an inner cavity in the housing. An imager circuit board is disposed in the inner cavity of the housing, with an imager disposed at the imager circuit board and optically aligned with the lens assembly. When the front and rear housing portions are mated together, perimeter flanges of the front and rear housing portions may be curled to have multiple folds to seal the front housing portion relative to the rear housing portion. The imager circuit board may be held in the inner cavity by a spring element that urges the imager circuit board in a direction toward the lens assembly.

A roof mounted vehicle camera assembly includes a disk that can be positioned on a roof of a vehicle. A magnet is coupled to the disk to magnetically engage the roof of the vehicle for retaining the disk on the roof of the vehicle. A rod is coupled to and extends upwardly from the disk and an orb is coupled to the rod such that the orb is elevated above the roof of the vehicle when the disk is positioned on the roof of the vehicle. A pair of proximity sensors is each of the proximity sensors is integrated into the orb and a camera is integrated into the orb. A transmitter is integrated into the disk and the transmitter is in wireless communication with an extrinsic electronic device to facilitate imagery captured by the camera to be viewed on the extrinsic electronic device thereby facilitating a driver of the vehicle to view the imagery.

An imaging system according to the present disclosure includes: an imaging device that is mounted in a vehicle, and captures and generates an image of a peripheral region of the vehicle; and a processing device that is mounted in the vehicle, and executes processing related to a function of controlling the vehicle on the basis of the image. The imaging device includes: a first control line, a first voltage generator that applies a first voltage to the first control line, a first signal line, a plurality of pixels that applies a pixel voltage to the first signal line, a first dummy pixel that applies a voltage corresponding to the first voltage of the first control line to the first signal line in a first period, a converter including a first converter that performs AD conversion on the basis of a voltage of the first signal line in the first period to generate a first digital code, and a diagnosis section that performs diagnosis processing on the basis of the first digital code. The above-described processing device restricts the function of controlling the vehicle on the basis of a result of the diagnosis processing.

Determining the yaw angle of a trailer with respect to the longitudinal axis of a towing vehicle is disclosed. This includes capturing first and second images of the trailer using a camera. Trailer orientation with respect to the vehicle is different on the two images. First and second trailer features are determined which are visible on the two images. The first and second features are at different positions of the trailer. A first angle estimation is calculated characterizing the pivot angle in a horizontal plane between the first feature on the first image and the first feature on the second image relative to a towing vehicle fix point. A second angle estimation is calculated characterizing the pivot angle in a horizontal plane between the second feature on the first image and the second feature on the second image relative to the fix point. The yaw angle is calculated based on the first and second angle estimations.

An apparatus, method, and vehicle for providing a braking level of a forward vehicle may quantify a degree of braking of the forward vehicle into a braking level and provide the braking level of the forward vehicle to a driver. The apparatus includes a brake lamp position recognizing device configured to recognize positions of brake lamps of the forward vehicle based on an image and a relative acceleration of the forward vehicle, a braking determining device configured to determine whether or not braking of the forward vehicle is performed based on a brake lamp image extracted from the image of the forward vehicle, a braking level determining device configured to determine a braking level of the forward vehicle based on the relative acceleration of the forward vehicle, and a braking level image providing device configured to provide the determined braking level of the forward vehicle through an image.

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.

A vehicle is configured to image, with an outside camera, an identification mark associated with a content provided by a service provider, output the content associated with the imaged identification mark to an occupant in a cabin of the vehicle, acquire operation information on the occupant relating to the output content, and acquire information regarding the occupant when the occupant performs operation relating to the content in the vehicle cabin. An information processing apparatus is configured to, when determining that the output content is not selected by the occupant based on the operation information on the occupant, determine whether or not to update the content that is not selected, based on the information regarding the occupant.

A vehicular driver assistance system includes a camera that views through the windshield of the vehicle and a control device having an image processor that processes captured image data. Responsive to processing of captured image data by the image processor, the system adjusts a light beam emitted by a headlamp of the vehicle. The control device, responsive at least in part to image data processing by the image processor, determines when the vehicle is at a construction zone. Responsive to determination that the vehicle is at a construction zone, image processing of image data captured by the camera is adjusted to discriminate construction zone signs from taillights of leading vehicles. Responsive to determination of the vehicle exiting the construction zone, the control device adjusts the light beam emitted by the headlamp of the vehicle responsive to determination of headlamps of approaching vehicles and taillights of leading vehicles.