A controller obtains plural images generated by an imaging device disposed onboard a vehicle, and analyzes at least first and second images of the plural images to identify a feature of interest that is offboard the vehicle and at least partially depicted in the first and second images. The controller determines a first unit vector for the feature of interest based on a first location of the feature of interest in the first image, and determines a second unit vector for the feature of interest based on a second location of the feature of interest in the second image. The controller calculates a third location of the feature of interest, relative to a physical environment, based on the first unit vector, the second unit vector, and at least one of a first reference location of the vehicle or a second reference location of the vehicle.

In order to realize a device that can reduce the influence of errors, the device includes a first acquisition unit configured to acquire first information including an error via an image formation optical system, a second acquisition unit configured to acquire second information of which the error is less than that of the first information, a correction information generation unit configured to calculate a correction value for correcting the error of the first information on the basis of the second information, and a correction unit configured to correct the first information by using the correction value.

A distance to a target to be read by image capture over a range of working distances is determined by directing an aiming light spot along an aiming axis to the target, and by capturing a first image of the target containing the aiming light spot, and by capturing a second image of the target without the aiming light spot. Each image is captured in a frame over a field of view having an imaging axis offset from the aiming axis. An image pre-processor compares first image data from the first image with second image data from the second image over a common fractional region of both frames to obtain a position of the aiming light spot in the first image, and determines the distance to the target based on the position of the aiming light spot in the first image.

An automatic range finding method is applied to measure a distance between a stereo camera and a reference plane. The automatic range finding method includes acquiring a disparity-map video by the stereo camera facing the reference plane, analyzing the disparity-map video to generate a depth histogram, selecting a pixel group having an amount greater than a threshold from the depth histogram, calculating the distance between the stereo camera and the reference plane by weight transformation of the pixel group, and applying a coarse-to-fine computation for the disparity-map video.

A photoelectric conversion apparatus includes a photodiode, a counter, a control circuit. The photodiode is configured to cause avalanche multiplication. The counter is configured to generate a count signal as a result of counting a pulse generated by the avalanche multiplication during a predetermined period. The control circuit is configured to perform control to bring the photodiode into a waiting state in which the avalanche multiplication is possible and a stop state in which the avalanche multiplication is stopped, based on the count signal during a predetermined period.

The present invention relates to a LASER RANGE FINDER, and more particularly, to a LASER RANGE FINDER which includes a first laser transmitting unit and a second laser transmitting unit transmitting a laser in different directions and controls angles of a first module and a second module including the first laser transmitting unit and the second laser transmitting unit, respectively to effectively measure a distance between a first specific object and a second specific object and further, easily measure the length of a specific object.

Provided is a data processing apparatus for calculating confidence coefficient data to indicate a confidence of pixel values of a second image data. The apparatus acquires similarity between a pixel value of a first pixel of the first image data corresponding to a target pixel of the confidence coefficient data, and each pixel value of a plurality of second pixels around the first pixel. The apparatus acquires the confidence coefficient by determining an estimated pixel value in the third pixel of the second image data corresponding to the first pixel, based on the similarity of each of the plurality of second pixels, each pixel value of the plurality of fourth pixels around the third pixel and the pixel value of the third pixel and by comparing the pixel value of the third image and the estimated pixel value in the third pixel

Read electrodes are provided to drain signal charge of pixels from photoelectric conversion units provided in the pixels separately to a vertical transfer unit. During a first exposure period during which an object is illuminated with infrared light, signal charge obtained from a first pixel, and signal charge obtained from a second pixel adjacent to the first pixel, are added together in the vertical transfer unit to produce first signal charge. During a second exposure period during which the object is not illuminated with infrared light, signal charge obtained from the first pixel, and signal charge obtained from the second pixel adjacent to the first pixel, are transferred without being added to the first signal charge in the vertical transfer unit, and are added together in another packet to produce second signal charge.

An object detection system including multiple detecting means identifies other-vehicle information data acquired by using the multiple detecting means, determines whether or not the other-vehicle information data acquired by using the multiple detecting means 105 and 107 are of the same vehicle to output the other-vehicle information data that can be applied to various control applications when the other-vehicle information data determined to be of the same vehicle are switched, selects either of the multiple other-vehicle information data determined to be of the same vehicle according to the other-vehicle information detecting accuracies of the detecting means 105 and 107, and switches the selected other-vehicle information data to another other-vehicle information in a transition period based on the relative speed and the relative position from the other vehicle.

The present invention addresses the problem of providing an imaging device that prevents mismatching in image matching for parallax calculation even if the sharpnesses of an end part and center part of a processing area differ. An imaging device 1 according to the present invention is provided with a means for equalizing the sharpnesses of the processing areas of a reference image and a comparison image.