A vehicle-mounted stereo camera device that achieves high-precision distance detection is provided, including a left camera and a right camera disposed to cause visual fields to overlap each other, a first enclosure and a second enclosure that enclose the left camera and the right camera and have portions within the visual fields of the left camera and the right camera, respectively, and a stereo processor that calculates a distance to a body outside the vehicle based on images captured by the left camera and the right camera and on positions of the left camera and the right camera on the vehicle. The stereo processor detects displacement amounts of the left camera and the right camera based on amounts of change in positions of the first enclosure and the second enclosure within the visual fields of the left camera and the right camera, and changes a cutout position in the images captured by the left camera and the right camera.

A vehicle-mounted stereo camera device that achieves high-precision distance detection is provided. The provided vehicle-mounted stereo camera device includes a left camera and right camera disposed on a vehicle via a holder to cause visual fields to overlap each other, a stereo processor that calculates a distance to a body outside the vehicle based on images captured by the left camera and right camera and on positions on the vehicle, first and second geomagnetic sensors respectively disposed near the left camera and right camera, and a third geomagnetic sensor disposed on the holder. The stereo processor compares a geomagnetic value detected by the first or second geomagnetic sensor with a geomagnetic value detected by the third geomagnetic sensor, detects a displacement amount of the left camera or right camera, and changes a cutout position in the image captured by the left camera or right camera based on the displacement amount.

An apparatus for mounting a camera arrangement on a motor vehicle is provided. The apparatus has a camera housing that includes a main body configured for holding the camera arrangement in a predetermined position. A 3-attachment feature arrangement is coupled to the main body for mounting the main body to the motor vehicle. The 3-attachment feature arrangement includes a first attachment feature having a first longitudinal centerline. A second attachment feature has a second longitudinal centerline. A third attachment feature has a third longitudinal centerline. The second and third longitudinal centerlines are aligned to define a common centerline and the first longitudinal centerline intersects the common centerline proximate a midpoint between the second attachment feature and the third attachment feature.

A vision system for a vehicle towing a trailer includes a vehicle transceiver disposed at the vehicle and at least one trailer camera disposed at the trailer being towed by the vehicle and having a field of view exterior of the trailer. A trailer transceiver is disposed at a front exterior portion of the trailer and is operable to receive image data captured by the at least one trailer camera and to wirelessly transmit captured image data to the vehicle transceiver disposed at the vehicle when the vehicle is towing the trailer. A video display screen is disposed at the vehicle and viewable by a driver of the vehicle when the vehicle is towing the trailer. The video display screen is operable to display video images derived from captured image data received by the vehicle transceiver disposed at the vehicle.

An imaging device capable of further increasing the accuracy of distance information and an electronic apparatus equipped with the imaging device are provided. The present technology provides an imaging device that includes a stereo imager, and the stereo imager includes a plurality of sensors. Each sensor of the plurality of sensors has an imaging unit formed with a plurality of repeating units. The imaging unit includes a polarizer having at least one kind of polarization spindle angle, and at least two unit images obtained by a plurality of the imaging units are combined, to obtain information about polarization in at least three directions, and generate normal information. The present technology further provides an electronic apparatus equipped with the imaging device.

A method and an apparatus for processing surrounding images of a vehicle are provided. In the method, plural cameras disposed on the vehicle are used to capture images of plural perspective views surrounding the vehicle. The images of the perspective views are transformed into images of a top view. An interval consisted of at least a preset number of consecutive empty pixels is found from one column of pixels in each image of the top view, and the images of the perspective views and the top view are divided into floor side images and wall side images according to the height of the interval in the image. The divided floor side images and wall side images are stitched to generate a synthetic image surrounding the vehicle.

An information display device includes an attention object recognition unit that recognizes a plurality of attention objects, a traveling state recognition unit that recognizes a vehicle speed of a vehicle, a HUD that displays attention display, an attention depth calculation unit that calculates TTC and calculates attention depths for the attention objects on the basis of the TTC, a display information generation unit that determines a first attention object having the largest attention depth among the plurality of attention objects and generates first display information regarding first attention display for highlighting the first attention object and second display information regarding second attention display which is a line surrounding the first attention object and second attention objects other than the first attention object among the plurality of attention objects, and a display control unit that displays the first attention display and the second attention display on the HUD.

An image reducer executes a reduction process on a comparison image to generate a reduced comparison image, and executes a reduction process on a reference image to generate a reduced reference image. A disparity value deriver (a deriving unit) derives a disparity value by setting the minimum value of synthesized costs of pixels in the reduced comparison image in connection with a reference pixel in the reduced reference image, which have been calculated by a cost synthesizer. A disparity image generator generates a reduced disparity image, which is an image obtained by replacing the luminance values of the respective pixels in the reduced reference image with the disparity values corresponding to the pixels. The disparity image enlarger executes an enlargement process for enlarging the image size of the reduced disparity image generated by the disparity image generator to generate a disparity image.

An object recognition apparatus learns an axis displacement amount of a reference axis of first object detecting means, combines and integrates, as information belonging to a same object, a plurality of pieces of information present within a first combining area and a second combining area, when a positional relationship between the first combining area and the second combining area meets a predetermined combinable condition. The first combining area is set as an area in which pieces of information related to the object acquired by the first object detecting means are combined. The second combining area is set as an area in which pieces of information related to the object acquired by second object detecting means are combined. The object recognition apparatus variably sets sizes of the first combining area and the second combining area based on a learning state of the axis displacement amount of the reference axis.

An image processing apparatus includes a processor configured to generate vertical direction distribution data which is a distribution of distance values to a vertical direction of a distance image from the distance image having distance values according to distance of a road surface in captured images. There is an extraction of a pixel having the highest frequency value for each of the distance values from pixels in a search area. There is a detection of the road surface based on each pixel extracted.