Abstract: The vehicle surroundings monitoring apparatus is provided with an imaging device and a device that transforms captured image to digital image. A first edge extraction mask is applied to detect multiple horizontal edges. The apparatus further includes a detector that detects upper end of the head of the object by detecting a horizontal edge having a highest edge intensity out of the multiple horizontal edges. A second edge extraction mask is used to detect the lower end of the head of the physical object by detecting multiple vertical edges and matching the positional variation of the multiple vertical edges with predetermined patterns.

Abstract: A vehicle periphery monitoring device is provided with a symmetrical image portion extraction unit (21) which extracts a first image portion (A1) and a second image portion (A2) which are line-symmetrical to each other in the horizontal direction; and expanded region setting unit (22) which sets a first expanded region (B1) containing the first image portion (A1); an expanded search range setting unit (23) which sets an expanded search range (C) which contains the second image portion (A2); and an object class recognition unit (24) which searches in the expanded search range (C) a second expanded region (B2) which has a correlation degree to a mirror reflection image (B1m) of the first expanded region (B1), and recognizes the image containing the first image portion (A1) and the second image portion (A2) as the image of another vehicle if the second expanded region (B2) is detected.

Abstract: In a target-object distance measuring device and a vehicle on which the device is mounted, a human body detection device is utilized for calculating a distance between an image capturing device and a human body candidate in an actual space based on the size of the human body candidate in the image. The head width is approximately 15-16 cm. A body height in the actual space of the human candidate in the image is estimated based on the ratio between the head-width in the extracted image and at least one size of the human body feature, such as total height, in the extracted human body candidate region, and the distance from the image capturing device to the human body candidate in the actual space is calculated based on the estimated body height in the actual space and the body height of the human body candidate in the image.

Abstract: When it is determined that a type of a physical body in real space corresponding to an image portion is a crossing pedestrian, a distance calculating unit 13 performs a first distance calculating process of calculating a distance between a vehicle 1 and the physical body, on the basis of a correlative relationship between the distance from the vehicle 1 set on assumption of a height of the pedestrian and a height of the image portion, according to the height of the image portion. When it is determined that the type of the physical body is not the crossing pedestrian, then the distance calculating unit 13 performs a second distance calculating process which calculates the distance between the physical body and the vehicle, on the basis of a change in size of the image portions of the physical body extracted from time-series captured images.

Abstract: An imaging means mounted on a vehicle performs imaging resulting in grayscale images having brightness values corresponding to object temperature, and objects around the vehicle are detected from said images. On the basis of said grayscale images, display images to be displayed on a display device mounted on the vehicle are generated and displayed on the display device. The display images are generated by lowering the brightness of areas not corresponding to the objects detected in the grayscale images. The display device is positioned in the vehicle width direction at no more than a prescribed distance away from an imaginary line passing through the center of rotation of the vehicle steering wheel and extending in the longitudinal direction of the vehicle. Accordingly, because display images are generated in which only the objects are spotlighted, the driver can quickly comprehend the objects present when using a display device.

Abstract: Provided is a vehicle periphery monitor device for accurately distinguishing between and detecting two side-by-side pedestrians and a vehicle that is lighting lights. With regard to a pedestrian candidate having at least two head candidates, a reference image creation unit creates the peripheral image of one of the head candidates as a reference image and creates an inverted image in which the right and left sides of the reference image are inverted. An object determination unit sets the peripheral image of the other heat candidate as a comparative image, and determines whether the head candidates are the pedestrians or the vehicle on the basis of the consistency of the reference image and the inverted image relative to the comparative image.

Abstract: This vehicle periphery monitoring device appropriately determines whether or not an animal detected by an imaging device is a high-risk animal which may possibly contact the vehicle. For example, compared with an animal in a posture with the head facing downwards, an animal in a posture with the head facing upwards is determined to be a high-risk animal which may suddenly bolt, so the latter animal is enclosed in a thick red frame and highlighted as a warning, and an alarm is emitted from speakers.

Abstract: When a pedestrian candidate and an animal candidate that are detected from an image imaged by an imaging device mounted in a vehicle are in a specified relationship in said image (such as existing nearby), the animal candidate is considered to be an item related to the pedestrian candidate, in other words, a pair object. Attention-arousing output directed at the animal candidate configuring the pair object is not generated. Therefore, a vehicle vicinity monitoring device is provided that reduces the frequency of attention-arousing directed at an animal (for ex-ample, a small animal such as a dog) being walked by a human.

Abstract: An apparatus for monitoring the surroundings of a vehicle is provided with a second display unit that visually represents information on the presence of monitored objects by the display or lack of display of marks. When at least one monitored object is detected in a picked-up image, the marks are displayed in different forms in accordance with the hazard the monitored object poses to the vehicle.

Abstract: A vehicle (1) having a vehicle information acquisition unit (11) which acquires image captured by a vehicle mounted sensor (20) and a camera (21), a vehicle information transmission unit (13) which transmits vehicle information data indicating information acquired by the vehicle information acquisition unit (11) to a host computer (50), a first arithmetic processing result reception unit (14) which receives first arithmetic processing result data replied from the host computer (50), and a driving assistance unit (17) which executes driving assistance processing based on the first arithmetic processing result data, the host computer (50) has a vehicle information reception unit (52) which receives vehicle information data, a first arithmetic processing unit (53) which executes first arithmetic processing on vehicle information data, and a first arithmetic processing result transmission unit (54) which transmits first arithmetic processing result data indicating the first arithmetic processing result to the veh

Abstract: A system 1 for monitoring the area around a vehicle of the present invention capable of visually notifying the passenger in the vehicle 10 of not only the presence but also the kind of an object in images around the vehicle displayed in an HUD 7, for example, according to a difference in the display mode of the presence of the object, wherein the driver of the vehicle 10 is able to recognize which of a human or a four-footed animal the object belongs to, according to either a difference in the design between a first mark M1 and a second mark M2 or a difference in the design between a first frame F1 and a second frame F2 displayed on the HUD 7.

Abstract: A living body recognizing device is equipped with a captured image acquiring unit which acquires captured images from infrared cameras having a characteristics that a luminance of an image portion of a target object becomes higher as a temperature of the target object becomes higher than a background, and vice versa, according to a temperature difference between the background and the target object, a living body image extracting unit which executes a first living body image extracting processing of extracting the image portion of the target object assumed as a living body, from a region in the captured image where the luminance is equal to or lower than a first threshold value, and a living body recognizing unit which recognizes an existence of the living body, based on the image portion of the target object extracted by the living body image extracting unit.

Abstract: Bicycles present before a vehicle are identified. A picked-up image having intensity values that are in accordance with the temperatures of objects is acquired to extract image regions having intensity values representative of higher temperatures than a background. An object, which includes a pair of first object portions (legs) and a second object portion (a tire), would be identified as a bicycle if the pair of first object portions, which have greater dimensions in length in the vertical direction than in width in the horizontal direction and the distance between which is less than a predetermined value in the horizontal direction, are detected from the extracted image regions and further if the second object portion, which has a different intensity value from any one of the first object portions and also has a length greater than a predetermined value in the vertical direction, is existent between the pair of first object portions.

Abstract: There is provided a vehicle surroundings monitoring device including: a candidate animal area setting unit configured to set a candidate animal area including a candidate animal image portion and a surrounding area of the candidate animal image portion; an edge extraction unit configured to extract a horizontal edge from the candidate animal area; and an animal determination unit configured to determine whether or not a real space object corresponding to the candidate animal image portion is an animal based on a criterion that first and second horizontal edges in the candidate animal area have a strength greater than or equal to a first predetermined strength.

Abstract: A light distribution controller includes a pedestrian detection unit, a determination unit, and an illumination controller. The pedestrian detection unit detects a pedestrian in a predetermined area ahead of a vehicle on the basis of an image captured by an infrared camera. The determination unit determines whether a driver notices the pedestrian when the pedestrian detection unit has detected the pedestrian in the predetermined area, on the basis of whether a predetermined condition is satisfied. The illumination controller causes the headlight to be lit with a light distribution pattern without a restriction on illumination of the pedestrian until the determination unit determines that the driver notices the pedestrian, and causes the headlight to be lit with a light distribution pattern having a restriction on illumination of a body member including at least the eyes of the pedestrian after the determination unit determines that the driver notices the pedestrian.

Abstract: When it is determined that a type of a physical body in real space corresponding to an image portion is a crossing pedestrian, a distance calculating unit 13 performs a first distance calculating process of calculating a distance between a vehicle 1 and the physical body, on the basis of a correlative relationship between the distance from the vehicle 1 set on assumption of a height of the pedestrian and a height of the image portion, according to the height of the image portion. When it is determined that the type of the physical body is not the crossing pedestrian, then the distance calculating unit 13 performs a second distance calculating process which calculates the distance between the physical body and the vehicle, on the basis of a change in size of the image portions of the physical body extracted from time-series captured images.

Abstract: If a pedestrian head candidate extractor extracts a light as a pedestrian head candidate, then when an other vehicle candidate detector detects a horizontal high-luminance area which is greater in area than the light extracted as the pedestrian head candidate, within a prescribed range beneath the horizontal position of the light, an other vehicle determiner determines the light extracted as the pedestrian head candidate as part of another car.

Abstract: In a case where a light distribution control apparatus judges that there is a possibility that a driver's own vehicle and an animal will contact each other if it is assumed that the animal remains at the present position, then it controls headlight such that the head of the animal is out of the illuminating range of the headlight. In a case where the light distribution control apparatus judges that there is no possibility that the driver's own vehicle and the animal will contact each other if it is assumed that the animal remains at the present position, then it controls the headlight such that the head of the animal is within the illuminating range of the headlight.

Abstract: A device for monitoring surroundings of a vehicle mounted in a vehicle, captures an image of surroundings of the vehicle, extracts from the captured image an image area for a predetermined part of a desired type of object, and sets a predetermined area below the extracted image area. The device extracts candidates for the desired type of object present outside the vehicle based on the predetermined area and determines, for each of the extracted object candidates, whether the object candidate is the desired type of object. When no pattern different from the background is captured in the predetermined area, or when a pattern different from the background is captured only in one of a first and a second areas, then the object in the image area is excluded from the candidates for the desired type of object. Thus, a pedestrian, for example, can be distinguished from an artificial structure.

Abstract: In an image captured by an infrared camera mounted in a vehicle, a featured image portion group including first and second high luminance image portions lined up side by side vertically or horizontally and a third high luminance image portion located below the first and second high luminance image portions is defined. The featured image portion group has a feature indicating that a similarity of one of a luminance distribution and a shape between the first high luminance image portion and the second high luminance image portion is higher than between the third high luminance image portion and at least one of the first and second high luminance image portions. If the featured image portion group is found in the captured image, it is determined that at least the third high luminance image portion is the image of a component of a traffic signal structure.