Abstract: A virtual vehicle which approaches to a monitor-side vehicle and a virtual background are defined in a camera image, and a region in which a virtual vehicle moves fast with respect to a virtual background is defined as a first region F1, and a region in which a virtual vehicle moves slowly with respect to a virtual background is defined as a second region F2. Then, the first region F1 and the second region F2 are applied to an actual camera image. In the first region F1 in which a virtual vehicle moves fast, a monitored vehicle is detected by a movement aspect of feature portions in the region, and in the second region F2 in which a virtual vehicle moves slowly, a monitored vehicle is detected by pattern recognition.

Abstract: A detector includes an image pickup unit mounted on a vehicle to obtain an image of an object; and a detecting unit for detecting an object in an object detecting area at a predetermined distance from the image pickup unit. The image pickup unit may include a monocular camera, and the predetermined distance may be fixed or may be varied according to the running speed of the vehicle. The detecting unit may detect objects respectively in plural object detection areas respectively at different distances from the image pickup unit.

Abstract: An object of the present invention is to detect a three-dimensional object by use of a single-eyed camera with a higher degree of accuracy by eliminating false detection of an obstacle, which is caused by a detection error of a vehicle speed sensor or that of a rudder angle sensor. A top view of a first image including a road surface image is created. The first image is imaged by a camera mounted to a vehicle. Then, a top view of a second image is created. The second image is imaged at a timing different from the timing when the first image is imaged. The two top views are associated with each other on the basis of a characteristic shape on the road surface. In each overlapped portion of the two top views, an area in which a difference occurs is identified as an obstacle.

Abstract: A stereo camera device includes: plural picture image taking sections, an image correction section which makes correction of picture images taken, a parallax calculating section which calculates parallax, an amount of dislocation between the left and right images, and an image recognition section which carries out image recognition processing using both the image taken and the calculated parallax, or either of them. The stereo camera device further includes: a processing area setting up section which sets up the image area to be processed and reduction ratio differently depending on the driving environment of the vehicle on which the stereo camera device is mounted, wherein, by using the image area and the reduction ratio set up by the processing area setting up section, the image correction section makes correction to the picture image, the parallax calculating section calculates parallax, and the image recognition section carries out processing of image recognition.

Abstract: Disclosed herein is a vehicle detection apparatus has a first and a second sensors to detect vehicles ahead of the host vehicle, and a judgment part to judge that, in the case where the second sensor detects an object which the first sensor has detected, the object is a vehicle. The judging part judges the object as a vehicle in the case where it has once judged the object as a vehicle even though the second sensor does not detect the object in the next judgment. The first and second sensors should preferably be a radar and a camera, respectively.

Abstract: The invention provides an image processing system capable of precisely locating the positions of the light spots covering near headlights through far tail lamps by using one camera. The invention, discriminating the headlights and tail lamps from noise lights such as a traffic light, streetlight, and vending machine, enhances the vehicle detection performance at night. The system includes an image input means that inputs images in front of a vehicle, an image analysis means that analyzes the images inputted by the image input means. The image input means has a means of photographing more than two images with different exposures. The image analysis means analyzes the images photographed by the image input means to transform them into the position information of the vehicles traveling in front.

Abstract: An image processing system including an imaging unit mounted on a subject vehicle, and an image analysis unit that acquires images photographed by the imaging unit. The image analysis unit acquires plural images with different exposures that the imaging unit photographed, detects light spots emitted from the other vehicles from the plural images with different exposures, and detects positions of the other vehicles. The plural images are an image photographed with a first exposure, and an image photographed with a second exposure greater than the first exposure. The image analysis unit extracts a first area containing a first color component from the image photographed with the first exposure to determine the first area to be a first three-dimensional object, and extracts a second area containing a second color component from the image photographed with the second exposure to determine the second area to be a second three-dimensional object.

Abstract: An auto light system allows the driver to control the head light beam direction and range, via a light control device. A manual light operating device for operating the light manually is operated in response to an output signal from the light control device. A display device displays the control state of the light controlled by the light control device.

Abstract: An object recognizing means obtains a relative physical value between a movable body and an object such as at least one of the other movable body, an object on the ground, a position on the ground, a topographical feature and a regional information around the movable body, and a safety keeping area calculator calculates an imaginary safety keeping area around the movable body from the relative physical value, and an object intrusion judging means decides as to at least one of whether or not the object is within the safety keeping area and whether or not the object will be within the safety keeping area to perform at least one of controlling for preventing a collision between the movable body and the object and outputting an alarm, when deciding the at least one of that the object is within the safety keeping area and that the object will be within the safety keeping area.

Abstract: The present invention provides an image processing technology for detecting the motion vector of an image pickup target with increased accuracy. Disclosed is an image processing apparatus that includes: an image processing buffer for storing images that are input from a plurality of image pickup devices; a distance image calculation image processing section for acquiring a disparity image between a first image, which is picked up by an image pickup device and stored in the image processing buffer, and a second image, which is simultaneously picked up by another image pickup device that corresponds to the image pickup device used to pick up the first image; and a motion vector calculation image processing section for acquiring a motion vector image between the first image and a third image, which is picked up with a time lag by the image pickup device used to pick up the first image.

Abstract: An apparatus for controlling operation of auxiliary equipment of a vehicle by receiving an output of a surroundings detection sensor for detecting the surrounding of the vehicle and an output of the vehicle information sensor, for detecting operation of the vehicle, wherein the distance to and the direction of an overtaking vehicle, an oncoming vehicle, or a preceding vehicle and the light intensities of the right and the left headlamps are controlled independently. A plurality of processes required for controlling the vehicle auxiliary equipment are performed by the time division processing.

Abstract: An in-vehicle running-environment recognition apparatus including an input unit for inputting an image signal from in-vehicle imaging devices for photographing external environment of a vehicle, an image processing unit for detecting a first image area by processing the image signal, the first image area having a factor which prevents recognition of the external environment, an image determination unit for determining a second image area based on at least any one of size of the first image area, position thereof, and set-up positions of the in-vehicle imaging devices having the first image area, an environment recognition processing being performed in the second image area, the first image area being detected by the image processing unit, and an environment recognition unit for recognizing the external environment of the vehicle based on the second image area.

Abstract: A lane marker recognition method comprises the steps of inputting an image including a lane marker, extracting luminance change points in the image, and estimating the position of the lane marker using the extracted edge points. The edge extracting step includes calculating an angle of orientation of each of the edges and the lane marker position estimating step includes extracting edge points that are oriented toward a vanishing point of a road, from among the edge points extracted in the edge extracting step.

Abstract: The present invention provides a headlight control apparatus which suppresses a feeling of strangeness given to a driver of an own vehicle by hunting due to reflector light while preventing a preceding vehicle and an on-coming vehicle from being dazzled, based on a video image obtained by a camera. The headlight is controlled by detecting the position of a light spot in the image captured by the camera to perform irradiation with a pattern which reduces the light quantity of a certain area above the detected light spot. Thereby, even if hunting occurs due to the reflector light, the irradiation light quantity of an entire irradiation area of the headlight does not vary, but only the irradiation light quantity for a partial area above a reflector varies, and therefore, the feeling of strangeness given to the driver can be suppressed.

Abstract: A vehicle headlight having a light source to emit light and a reflector for illuminating forward the light emitted from the light source, wherein the reflector is comprising a plurality of movable mirrors to be operated independently and optionally and a fixed mirror disposed outside these movable mirrors, whereby the light emitted from the light source to the movable mirrors are not blocked mutually so that a distribution of light illuminated from the vehicle headlight is minutely and quickly controlled.

Abstract: An image processing device of the present invention performs a task to execute an image processing This image processing device comprises a picture frame assigning unit that assigns an identification number to the image data to be collected by a picture collection device, an image capture requested picture of checking unit that checks whether the image data to which the identification number is assigned is identical with the image data that is requested by the task, an requested picture frame image collection notification unit that notifies the task of the image data having been collected which the task requests, if the image data to which the picture frame number is assigned is identical with the image data which the task requests, and an image capture requested picture frame receiving unit receives an image collection request from the task.

Abstract: In conventional systems using an onboard camera disposed rearward of a vehicle for recognizing an object surrounding the vehicle, the object is recognized by the camera disposed rearward of the vehicle. In the image recognized by the camera, a road surface marking taken by the camera appears at a lower end of a screen of the image, which makes it difficult to predict a specific position in the screen from which the road surface marking appears. Further, an angle of depression of the camera is large, and it is a short period of time to acquire the object. Therefore, it is difficult to improve a recognition rate and to reduce false recognition. Results of recognition (type, position, angle, recognition time) made by a camera disposed forward of the vehicle, are used to predict a specific timing and a specific position of a field of view of a camera disposed rearward of the vehicle, at which the object appears.

Abstract: An on-vehicle camera calibration apparatus includes: an on-vehicle camera; a camera parameter calculation unit configured to calculate camera parameters from a characteristic amount of a road surface sign photographed by the on-vehicle camera and recognized by an image processing and to output the camera parameters, wherein the camera parameters include an installation height and installation angle of the on-vehicle camera in photographing; and a camera parameter calibration unit configured to perform optical axis calibration control of the on-vehicle camera by the camera parameters output from the camera parameter calculation unit.

Abstract: According to a conventional technique, first, the positional relation between a lens and an imaging element is kept at each of left and right camera units, adjustment is made so as to eliminate the rotation-direction deviation of an imaging element from one surface of a member to which a lens and an imaging element are to be attached before fixing, and then that camera unit is attached to a reference member to thereby constitute a stereo camera. However, although this method can eliminate a mounting position deviation when left and right camera units only are taken into consideration, a problem is posed that deviation again occurs due to poor machining precision and assembly precision at the mounting surface between a camera unit and a member when a camera unit is mounted to a stay.

Abstract: An object of the present invention is to detect a three-dimensional object by use of a single-eyed camera with a higher degree of accuracy by eliminating false detection of an obstacle, which is caused by a detection error of a vehicle speed sensor or that of a rudder angle sensor. A top view of a first image including a road surface image is created. The first image is imaged by a camera mounted to a vehicle. Then, a top view of a second image is created. The second image is imaged at a timing different from the timing when the first image is imaged. The two top views are associated with each other on the basis of a characteristic shape on the road surface. In each overlapped portion of the two top views, an area in which a difference occurs is identified as an obstacle.