A method of calibrating a vehicular vision system includes mounting a camera at a vehicle moving along a vehicle assembly line. Responsive to processing of image data captured by the camera, ground features adjacent to the vehicle are determined and the determined ground features are tracked over two or more frames of captured image data using optical flow. A misalignment of the camera is determined via tracking the determined ground features as the vehicle moves along the straight path portion of the end of line test portion of the vehicle assembly line. Responsive to determination of misalignment of the camera at the vehicle, the vehicular vision system is calibrated using an assumption that the determined ground features lie in a plane parallel to a planar portion of a ground surface adjacent the straight path portion of the end of line test portion of the vehicle assembly line.

A driving assistance apparatus installed in a vehicle, the apparatus comprising an image capturing unit configured to capture an image of a left-rearward area and a right-rearward area of the vehicle, a display unit configured to display an image capturing result from the image capturing unit as an image, and a control unit configured to control the driving of the display unit, wherein the control unit causes an icon for communicating predetermined information to a driver to be displayed over the image capturing result, at a position of a corner part corresponding to an upper part on a vehicle body side of the image displayed by the display unit.

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.

A method for automatic generation of calibration parameters for a surround view (SV) camera system is provided that includes capturing a video stream from each camera comprised in the SV camera system, wherein each video stream captures two calibration charts in a field of view of the camera generating the video stream; displaying the video streams in a calibration screen on a display device coupled to the SV camera system, wherein a bounding box is overlaid on each calibration chart, detecting feature points of the calibration charts, displaying the video streams in the calibration screen with the bounding box overlaid on each calibration chart and detected features points overlaid on respective calibration charts, computing calibration parameters based on the feature points and platform dependent parameters comprising data regarding size and placement of the calibration charts, and storing the calibration parameters in the SV camera system.

The disclosed subject matter generally relates to alerting a vehicle driver having impaired eye sight of an object present in a portion of a field of view of the driver where the driver has impaired eye sight. With embodiments of the present disclosure, a driver with impaired eye sight may be provided with an alert when an object is present in a portion of a field of view of the driver where the driver has impaired eye sight. In this way may drivers who otherwise may feel uncomfortable driving due to impaired eye sight in parts of their field of view, be provided with an aid for safely driving the vehicle. This provides for improved quality of life for the person who may be able to safely drive the vehicle, and also for an improved safety when the person drives the vehicle.

A vision system for a vehicle includes a camera configured to be disposed at a vehicle so as to have a field of view exterior of the vehicle. A processor is operable to process image data captured by the camera. The vision system determines conditions where processing of captured image data degrades in performance due to environmental conditions. The vision system, responsive to a determined condition, determines a safe state for image processing of captured image data for that determined condition. A failsafe algorithm, responsive to processing of image data captured by the camera and responsive to the determined condition, and in accordance with the determined safe state for that determined condition, determines true negatives and avoids false positives and false negatives.

An imaging apparatus comprises a camera and a controller. The camera generates a captured image. The controller superimposes a calibration object movable by translation or rotation in the captured image. In the case where a plurality of indexes I located at positions determined with respect to a moveable body having the camera mounted therein are subjected to imaging, the controller moves the calibration object so that a first corresponding portion coincides with an image of a first index of the plurality of indexes, and performs distortion correction on an area in the captured image determined based on a position of the image of the first index and a position of an image of a second index in the captured image and a position at which the calibration object is superimposed so that the image of the second index coincides with a second corresponding portion.

Implementations set forth herein relate to a camera calibration system for generating various types of calibration data by maneuvering a camera through a variety of different calibration test systems. The calibration data generated by the camera calibration system can be transmitted to the camera, which can locally store the calibration data. The calibration data can include spatial frequency response value data, which can be generated according to a spatial frequency response test that is performed by the camera calibration system. The calibration data can also include field of view values and distortion values that are generated according to a distortion test that is also performed by the camera calibration system. The camera calibration system can maneuver the camera through a variety of different calibration tests, as well as transmit any resulting calibration data to the camera for storage.

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 method for automatic generation of calibration parameters for a surround view (SV) camera system is provided that includes capturing a video stream from each camera comprised in the SV camera system, wherein each video stream captures two calibration charts in a field of view of the camera generating the video stream; displaying the video streams in a calibration screen on a display device coupled to the SV camera system, wherein a bounding box is overlaid on each calibration chart, detecting feature points of the calibration charts, displaying the video streams in the calibration screen with the bounding box overlaid on each calibration chart and detected features points overlaid on respective calibration charts, computing calibration parameters based on the feature points and platform dependent parameters comprising data regarding size and placement of the calibration charts, and storing the calibration parameters in the SV camera system.