An approaching-object detection system detects an approaching object based on images captured by an imaging device. The approaching-object detection system comprises an extraction unit, a distortion correction unit, an object detection unit, and an approaching-object classification unit. The extraction unit extracts a partial image of one far side and a partial image of the other far side from each of the images. The distortion correction unit corrects distortion of the partial images. The object detection unit detects an object from the corrected partial images through pattern matching with reference to preinstalled image information on the object. The approaching-object classification unit classifies the detection result of the object detection unit as an approaching object or not.

The invention relates to a method for converting (S1) an image (7) by means of an evaluation unit (4) of a motor vehicle (1), wherein the image (7) is captured from an environmental region (6) of a motor vehicle (1) by means of a camera (3) of the motor vehicle (1), and the image (7) includes an alpha channel (12) and at least one color channel in a predetermined color model, and the image (7) is converted into an alpha channel (12) and a Y channel (9) of a YUV color model and a U channel (10) of the YUV color model and a V channel (11) of the YUV color model, wherein in converting the image (7), the alpha channel (12) and the Y channel (9) and the U channel (10) and the V channel (11) are embedded in a converted image (8) of the image (7).

A backward accident protection (BAP) system includes a video camera attached to the rear windshield of a vehicle. A microcomputer analyzes the camera image to assess the risk of a rear impacts. Upon detection of a potential rear impact, the BAP system initiates actions to reduce the severity of the potential rear impact.

The method may include receiving first location information of a vehicle through a location information module, capturing an image through a camera while the vehicle is driven, extracting characteristic points from the captured image and converting the captured image into a 3-D image, obtaining second location information by correcting the first location information based on a moving displacement and orientation direction of the camera installed on the vehicle, extracting an aerial view from the 3-D image based on the moving displacement and orientation direction of the camera, estimating a moving path of the vehicle using locations of traffic lanes included in the aerial view and the second location information, and displaying the captured image and the moving path of the vehicle in augmented reality by combining the captured image and the moving path. According to the present invention, accurate location information can be provided when a vehicle is driven.

An electric drive vehicle is provided with first and second slider plates contacting a trolley line on the high-voltage side and on the ground side, respectively. A camera has a photographing range of the whole of the second slider plate held in contact with the trolley line on the ground side and a part of the trolley line residing around the second slider plate. A controller controls a display of a monitor, wherein the controller includes a relative distance calculation section that calculates a relative distance between the trolley line on the ground side and a reference position of the second slider plate, and a bird's eye view image data generation section that generates bird's eye view image data reflecting the relative distance calculated by the relative distance calculation section and that outputs the bird's eye view image data to the monitor.

An arrangement is provided having a camera, wherein the camera is arranged in a vehicle. A movement of a user of the vehicle is determined by use of the camera and a processing device, wherein an interactive program is executable dependent on the movement of the user. Such an arrangement can provide signals which, for example, enable an interaction between the user and a system in the vehicle.

A method for processing high dynamic range data from a nonlinear camera includes; generating an input image comprising a plurality of pixels, each pixel having an initial pixel value, wherein the initial pixel values are generated using a camera transition curve; generating a first lookup table representing a combination of an inverse function and a re-compression function, the first lookup table having input values and output values, wherein each input value is linked to one output value, the inverse function is the inverse of the camera transition curve, the re-compression function is a smooth and continuous function having a slope at each input value which is greater than or equal to a corresponding slope of the camera transition curve, the first lookup table is generated such that the inverse function precedes the re-compression function; and generating a first image by converting the initial pixel values using the first lookup table.

In a device (1) for recognizing an external environment of a moving body, an image processing unit (10) generates image data indicating the external environment of the moving body. Using this image data, object data indicating an object around the moving body is generated. At an occurrence of a predetermined event, a control unit (30) records the generated object data in a recording device (35), whereas the image processing unit (10) records, in another recording device (15), the image data corresponding to the object data recorded in the recording device (35). The time information generation unit (40) adds the same time information to the recorded object data and image data.

Methods, systems, and apparatus for providing a view of an environment around a vehicle. The system includes a camera configured to detect image data of the environment around the vehicle. The system also includes an electronic control unit (ECU) coupled to the camera and configured to render an image based on the image data detected by the camera. The system also includes a display configured to display the image rendered by the ECU. The system also includes a connector coupling the camera and the ECU, the connector configured to be connected or disconnected at a location proximal to a cargo storage area of the vehicle.

The present technology relates to, for example, an image-capturing apparatus, an image processing method, and a program that make it possible to suppress an increase in costs.

A controller performs an extraction control for extracting a first image and a second image from a captured image captured by an image sensor that performs image-capturing, the first image being displayed on a first display section, the second image being displayed on a second display section. A data amount adjuster adjusts data amounts of the first image and the second image according to vehicle information acquired from a vehicle. For example, the present technology is applicable to a viewing system that displays an image of a region behind a vehicle.