A vehicular vision system includes a plurality of cameras including a rear camera disposed at a rear portion of a vehicle and having at least a rearward field of view and a front camera disposed at a front portion of the vehicle and having at least a forward field of view. Responsive to processing at an electronic control unit of provided vehicle data, the vehicular vision system determines a vehicle motion vector during maneuvering of the vehicle. Responsive to image processing at the electronic control unit of frames of captured image data, the vehicular vision system determines an object present in the field of view of a camera of the plurality of cameras and determines movement of the object relative to the vehicle. The vehicular vision system compares the determined relative movement of the object to the determined vehicle motion vector to determine misalignment of the camera.

A vehicular vision system includes a plurality of cameras including a rear camera disposed at a rear portion of a vehicle and having at least a rearward field of view and a front camera disposed at a front portion of the vehicle and having at least a forward field of view. Responsive to processing at an electronic control unit of provided vehicle data, the vehicular vision system determines a vehicle motion vector during maneuvering of the vehicle. Responsive to image processing at the electronic control unit of frames of captured image data, the vehicular vision system determines an object present in the field of view of a camera of the plurality of cameras and determines movement of the object relative to the vehicle. The vehicular vision system compares the determined relative movement of the object to the determined vehicle motion vector to determine misalignment of the camera.

An illustrative example camera device includes a substrate and a sensor supported on the substrate. The sensor is configured to gather image information. A lens is situated near the sensor and an electroactive polymer selectively causes relative movement between the sensor and the lens.

A data acquisition system of a vehicle includes an image capture device, a communication interface, and a controller communicatively coupled to the image capture device and communicatively coupled to the communication interface. Processors of the controller are configured to calibrate an image-distance relationship value of an identified component of a first image captured by the image capture device corresponding to a known feature based on established metrics of the known feature. The processors are also configured to provide control of the vehicle or activation of an alert system of the vehicle via the communication interface based on the image-distance relationship value.

An around view monitoring system for a vehicle includes cameras, an image processing unit and an integrated control unit. The cameras are configured to shoot peripheral images of the vehicle. The image processing unit is connected to the cameras and is configured to receive the peripheral images of the vehicle. The integrated control unit is connected to the image processing unit, and is configured to select predetermined relevant parameters of the vehicle to calibrate and splice the peripheral images so as to form around view monitoring images and to output the corresponding around view monitoring images according to the type of the vehicle. Therefore, the around view monitoring system can provide proper and corresponding around view monitoring images according to different types of vehicles.

A method for determining misalignment of a vehicular camera includes equipping a vehicle with a vehicular vision system having an electronic control unit and a plurality of cameras disposed at the vehicle so that each camera has a respective field of view exterior of the vehicle. Responsive to processing at the electronic control unit of received vehicle data during driving of the vehicle, the vehicular vision system determines a vehicle motion vector during driving of the vehicle. Frames of image data captured by the plurality of cameras are processed to determine an object motion vector of a detected object based on positions of the detected object in frames of image data captured by the camera. The determined object motion vector is compared to the determined vehicle motion vector to determine via the vehicular vision system that the camera of the plurality of cameras is misaligned.

An apparatus and method of calibrating a vehicle optical sensor includes positioning a vehicle in a test station and proximate a projection surface, the vehicle having an optical sensor, the projection surface in view of the optical sensor, determining a position of the optical sensor with respect to the projection surface using a control unit that is external to the vehicle, and selecting an image to be displayed. The method further includes displaying the image from the projection surface, adapting the image displayed from the projection surface to dimensions of the projection surface, using the control unit, based on a size of the projection surface and the position of the optical sensor, spatially adjusting the projection surface with respect to the position of the optical sensor, and calibrating the optical sensor by adjusting a position of an optical axis of the optical sensor based on the image.

A measurement system for a vehicle including a first camera defining a field of view having a corresponding optical axis, and a motion detection sensor mechanically fixed to the first camera such that the motion detection sensor is configured to detect motion of the optical axis.

A vehicular imaging system includes a camera operable to capture image data. The camera is configured for attachment at an upper windshield area of an in-cabin side of a windshield of a vehicle. An image processor is operable for processing image data captured by the camera. Captured image data is processed by the image processor for a collision avoidance system of the equipped vehicle. Captured image data is processed by the image processor for a lane departure warning system of the equipped vehicle. Responsive at least in part to processing by the image processor of captured image data, shadows viewed by the camera are detected. The vehicular imaging system determines misalignment of the camera responsive at least in part to processing by the image processor of captured image data.

In accordance with an aspect of the present disclosure, there is provided a method of calibrating a camera for a vehicle, comprising: obtaining attitude angle information of the vehicle by using a traveling direction of the vehicle obtained based on a satellite signal, and a vertical direction from ground obtained based on a high definition map; obtaining attitude angle information of the camera mounted on the vehicle by matching an image captured by the camera to the high definition map; and obtaining coordinate system transformation information between the vehicle and the camera by using the attitude angle information of the vehicle and the attitude angle information of the camera.