Described herein is a rear view mirror system that is configured to adjust to a user's position without direct user interaction. In some embodiments, a camera may be included in the rear view mirror system so that its line of sight is perpendicular to a reflective surface. The camera may capture a digital image of the user. Eye patterns may be identified from the image information to determine an appropriate position for the mirror. In some embodiments, the mirror may be repositioned so that the camera's line of sight is directed halfway between the identified eye information and the center of a rear window. In some embodiments, the mirror may be re-adjusted periodically.

A vision system of a vehicle includes a forward viewing imager, a rearward viewing imager and sideward viewing imagers. The forward viewing imager is disposed at a forward portion of the vehicle and has a forward field of view. The rearward viewing imager is disposed at a rearward portion of the vehicle and has a rearward field of view rearward of the vehicle. The sideward viewing imagers are disposed at respective sides of the vehicle and have respective sideward fields of view sideward of the vehicle. At least one of the forward viewing imager, the rearward viewing imager and the sideward viewing imagers is dynamically adjustable via a respective stepper motor. The fields of view of the imagers may be adjustable via the respective stepper motors responsive to actuation of a user input and/or a speed input indicative of the traveling speed of the vehicle.

An imaging system includes: a light source; a first circular polarization filter that converts light from the light source into first circularly polarized light; a light emission unit that emits the first circularly polarized light converted by the first circular polarization filter into an external space; a second circular polarization filter that transmits second circularly polarized light of light from the external space, the second circularly polarized light rotating in a direction opposite to a rotation direction of the first circularly polarized light; and an imaging unit that captures an image by using the light transmitted through the second circular polarization filter of the light from the external space.

Described herein is a rear view mirror system that is configured to adjust to a user's position without direct user interaction. In some embodiments, a camera may be included in the rear view mirror system so that its line of sight is perpendicular to a reflective surface. The camera may capture a digital image of the user. Eye patterns may be identified from the image information to determine an appropriate position for the mirror. In some embodiments, the mirror may be repositioned so that the camera's line of sight is directed halfway between the identified eye information and the center of a rear window. In some embodiments, the mirror may be re-adjusted periodically.

A system and method for providing laser camera fusion for identifying and tracking a traffic participant that include receiving an image of a surrounding environment of a vehicle from a vehicle camera system and a set of object coordinates of at least one object determined within the surrounding environment of the vehicle from a vehicle laser projection system. The system and method also include determining a portion of the image as object space based on the image and the set of object coordinates and filtering the object space to identify a traffic related object. Additionally, the system and method include determining a three dimensional position of the traffic related object and classifying the traffic related object as at least one of: the traffic participant, or a non-traffic participant. The system and method further include tracking the traffic participant based on a three dimensional position of the traffic related object classified as the traffic participant.

Systems including one or more sensors, coupled to a vehicle, may detect sensor information and provide the sensor information to another computing device for processing. The processing may include analyzing the sensor information to identify one or more risk objects, such as animals, pedestrians, potholes, etc. The processing may further include generating a three-dimensional (3D) risk map, which may be displayed to a passenger in the vehicle. The 3D risk map may illustrate the one or more risk objects as one or more point clouds, respectively, within a virtual world representation of the vehicle's surroundings. Such a display may be used to alert drivers to possible risks while driving. In case of an accident, the 3D risk map may also be leveraged by insurance providers to process insurance claims and to notify customers that an insurance claim has been established.

A vehicle 1 towing a trailer 4 is fitted with three video cameras 5, 6, 7 fitted to the rear of the vehicle and on each door mirror. A view from any camera can be presented to the driver on a display 11. A predicted trailer path, calculated in a computing unit 10, is also presented to the driver on the display 11 as guide lines overlaid on the camera view. The computing unit 10 is also configured to calculate a hitch angle by tracking the position of a trailer-mounted marker in the camera view.

A cruise-assist image generation device includes: a steering-angle information acquisition unit acquiring steering angle information of a steering wheel; an additional line generation unit generating a cruise assist additional line corresponding to the acquired steering angle information and formed by combination of a given number of segments; and an additional line superimposing unit superimposing the generated cruise assist additional line on a taken image of the vehicle periphery to obtain a composite image. The additional line generation unit generates respective curved lines forming part or all of the given number of segments by quadratic curve approximation using coordinate data corresponding to the acquired steering angle information and including coordinates of two endpoints and one middle point representing each segment, and generating respective straight lines forming the remains of the given number of segments by collinear approximation using coordinate data corresponding to the acquired steering angle information and including coordinates of two end points representing each segment.

An integrated camera, ambient light detection, and rain sensor assembly suitable for installation behind a windshield of a driver operated vehicle or an automated vehicle includes an imager-device. The imager-device is formed of an array of pixels configured to define a central-portion and a periphery-portion of the imager-device. Each pixel of the array of pixels includes a plurality of sub-pixels. Each pixel in the central-portion is equipped with a red/visible/visible/visible filter (RVVV filter) arranged such that each pixel in the central-portion includes a red sub-pixel and three visible-light sub-pixels. Each pixel in the periphery-portion is equipped with a red/green/blue/near-infrared filter (RGBN filter) arranged such that each pixel in the periphery-portion includes a red sub-pixel, a green sub-pixel, a blue sub-pixel, and a near-infrared sub-pixel.

A collision avoidance and/or pedestrian detection system for a large passenger vehicle such as commuter bus, which includes one or more exterior and/or interior sensing devices positioned strategically around the exterior and interior of the vehicle for recording data, method for avoiding collisions and/or detecting pedestrians, and features/articles of manufacture for improving same, is described herein in various embodiments. The sensing devices may be responsive to one or more situational sensors, and may be connected to one or more interior and/or exterior warning systems configured to alert a driver inside the vehicle and/or a pedestrian outside the vehicle that a collision may be possible and/or imminent based on a path of the vehicle and/or a position of the pedestrian as detected by one or more sensing devices and/or situational sensors.