Abstract: An image processing accuracy estimation unit estimates an image processing accuracy by calculating a size of an object by which the accuracy of measurement of the distance of the object photographed by an on-vehicle camera becomes a permissible value or less. An image post-processing area determination unit determines, in accordance with the estimated image processing accuracy, a partial area inside a detection area of the object as an image post-processing area for which an image post-processing is carried out and lattices the determined image post-processing area to cells. An image processing unit processes the image photographed by the on-vehicle camera to detect a candidate for object and calculates a three-dimensional position of the detected object candidate. An image post-processing unit calculates, in each the individual cell inside the determined area the probability as to whether the detected object is present and determines the presence/absence of the object.

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: 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 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: An image processing system includes a first image processor that reads out a first image written in a main memory to apply a first process to the first image and write in the main memory as a second image, a second image processor that reads out a second image written in the main memory to apply a second process to the second image and write in the main memory as a second image, and an address snooping apparatus that snoops an address of the image written in the main memory to start the first process when the address is indicated to a previously set first value and start the second process when the address is indicated to a previously set second value, effectively enabling synchronization between a process by a CPU or a special purpose processor and a data delivery/receipt process between pipeline stages.

Abstract: Disclosed is an obstacle detection apparatus to detect more accurately a moving obstacle present around a motor vehicle. With this system, desired feature quantities of an obstacle present in a coverage of a first sensor are calculated and then stored into a storage device, and when the obstacle moves from the coverage of the first sensor to a coverage of a second sensor, a relative distance to the obstacle is calculated from the above-stored feature quantities of the obstacle and from the desired feature quantities of the obstacle, obtained by analyzing the recognition results of the second sensor that have been processed by a processor which processes the recognition results.

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: 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: A driving lane recognition system which can improve the lane recognition accuracy by stably detecting the various kinds of lane markers is disclosed. An image processing means 6 for image-processing a road image taken by a camera 5 has a plurality of different kinds of image processing algorithms 9 to 11. A driving lane is detected by selecting an image processing algorithm suitable for the driving lane out of the plurality of different kinds of image processing algorithms 9 to 11 corresponding to a road on which a vehicle is running.

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: An image processing system includes a lamp which emits light to a glass, an imaging device which captures light which is emitted from the lamp and reflected by the glass, and an optical filter, located between the glass and the imaging device, which transmits rays with a specific wavelength of the reflected light. A lens is provided in front of the imaging device, and a focus of the lens is adjusted to a point beyond the glass, and an image processor is provided which processes an image captured by the imaging device and detects moisture on the glass.

Abstract: A traffic environment recognition system includes an image-processing unit, an information-merging unit, a radar unit, and a network connected to the image-processing unit, the radar unit, the information-merging unit and a vehicle control unit capable of controlling the traveling operation of a host vehicle. The image-processing unit recognizes headway distance, the azimuth, relative speed and width of the preceding vehicle, and the position of the host vehicle in a lane. The radar unit recognizes headway distance, the azimuth and relative speed of the preceding vehicle. The information-merging unit receives recognition results provided by the image-processing unit and the radar unit through the network, merges the recognition results, identifies recognition objects relating to the recognition results.

Abstract: An image processing system that detects foreign matter on a glass window of a vehicle and objects in front of the vehicle. The system includes an image processor, a first lamp, and a second lamp. On/off control of the first and second lamps is controlled by the image processor. Light from the first lamp is reflected from the outer sauce of the glass when raindrops are present on the outside of the glass. Light from the second lamp is reflected from the inner surface of the glass when moisture is present on the inside of the glass. Any reflected light goes through a lens and an optical filter with prescribed optical characteristics to an image device. The lens is focused to a point beyond the window so that the image processor an also detect objects in front of the vehicle.