Abstract: A vehicle exterior environment recognition apparatus includes a computer and an illumination mechanism. The computer serves as a vehicle extractor that extracts a tail lamp of a preceding vehicle, a preceding vehicle recognizer that recognizes the preceding vehicle on a basis of the extracted tail lamp, and a light-distribution controller that determines light distribution of a headlamp. The illumination mechanism switches between a low beam and a high beam on a basis of instruction issued by the light-distribution controller. The vehicle extractor determines, on a basis of an angle of view and a depth distance of a block in the image, and a cut-off line angle of the high beam, whether the block is irradiated with the high beam, and changes, on a basis of a result of the determination as to whether the block is irradiated, thresholds that determine whether the tail lamp is the tail lamp.

Abstract: A vehicle exterior environment recognition apparatus includes a computer and an illumination mechanism. The computer serves as a preceding vehicle extractor that extracts a tail lamp of a preceding vehicle, a preceding vehicle recognizer that recognizes the preceding vehicle on a basis of the extracted tail lamp, and a light-distribution controller that determines a light distribution of a headlamp. The illumination mechanism switches between a low beam and a high beam on a basis of instruction issued by the light-distribution controller. The preceding vehicle extractor acquires instruction information related to the instruction on the determination issued by the light-distribution controller and result information related to a result of beam application performed by the illumination mechanism, and extracts, by a threshold corresponding to the low beam, the tail lamp for a region in which either one of the instruction information and the result information indicates application of the low beam.

Abstract: A vehicle exterior environment recognition apparatus includes a computer and an illumination mechanism. The computer serves as a vehicle extractor that extracts a tail lamp of a preceding vehicle, a preceding vehicle recognizer that recognizes the preceding vehicle on a basis of the extracted tail lamp, and a light-distribution controller that determines light distribution of a headlamp. The illumination mechanism switches between a low beam and a high beam on a basis of instruction issued by the light-distribution controller. The vehicle extractor determines, on a basis of an angle of view and a depth distance of a block in the image, and a cut-off line angle of the high beam, whether the block is irradiated with the high beam, and changes, on a basis of a result of the determination as to whether the block is irradiated, thresholds that determine whether the tail lamp is the tail lamp.

Abstract: A vehicle exterior environment recognition apparatus includes a computer and an illumination mechanism. The computer serves as a preceding vehicle extractor that extracts a tail lamp of a preceding vehicle, a preceding vehicle recognizer that recognizes the preceding vehicle on a basis of the extracted tail lamp, and a light-distribution controller that determines a light distribution of a headlamp. The illumination mechanism switches between a low beam and a high beam on a basis of instruction issued by the light-distribution controller. The preceding vehicle extractor acquires instruction information related to the instruction on the determination issued by the light-distribution controller and result information related to a result of beam application performed by the illumination mechanism, and extracts, by a threshold corresponding to the low beam, the tail lamp for a region in which either one of the instruction information and the result information indicates application of the low beam.

Abstract: A vehicle exterior environment recognition device includes an image acquiring module that acquires an image, a traffic sign identifying module that identifies a circle of a predetermined radius centering on any one of pixels in the image as a traffic sign, a traffic sign content recognizing module that recognizes content of the identified traffic sign, and a traffic sign content determining module that uses at least one template for one certain country to integrate traffic sign integration points based on correlation evaluation values with the content of the recognized traffic sign, uses a template for each of a plurality of countries corresponding to the content of the traffic sign having the traffic sign integration points to integrate total points by country based on overall evaluation values of the content of the recognized traffic sign, and conclusively determines a currently-traveling country.

Abstract: In an ambient environment determination apparatus, an imager obtains a picture capturing an area ahead of a vehicle, and a street lamp is detected for each detection frame unit of the picture. Then, an urban area determination process is performed that determines whether or not the ambient environment of the vehicle is an urban area based on both of a street lamp detection result of a current detection frame unit and a street lamp detection result of a past detection frame unit of the picture. Further, in a period after the vehicle turns right or left, determination responsiveness with regard to determination whether or the ambient environment is a urban area or a non-urban area is enhanced than that in a period other than the period after the right or left turn.

Abstract: A vehicle exterior environment recognition device includes an image acquiring module that acquires an image, a traffic sign identifying module that identifies a circle of a predetermined radius centering on any one of pixels in the image as a traffic sign, a traffic sign content recognizing module that recognizes content of the identified traffic sign, and a traffic sign content determining module that uses at least one template for one certain country to integrate traffic sign integration points based on correlation evaluation values with the content of the recognized traffic sign, uses a template for each of a plurality of countries corresponding to the content of the traffic sign having the traffic sign integration points to integrate total points by country based on overall evaluation values of the content of the recognized traffic sign, and conclusively determines a currently-traveling country.

Abstract: In an ambient environment determination apparatus, an imager obtains a picture capturing an area ahead of a vehicle, and a street lamp is detected for each detection frame unit of the picture. Then, an urban area determination process is performed that determines whether or not the ambient environment of the vehicle is an urban area based on both of a street lamp detection result of a current detection frame unit and a street lamp detection result of a past detection frame unit of the picture. Further, in a period after the vehicle turns right or left, determination responsiveness with regard to determination whether or the ambient environment is a urban area or a non-urban area is enhanced than that in a period other than the period after the right or left turn.

Abstract: In image processing system for detecting a target object in image data, featuring a plurality of image processing units at least some having an image filter for conducting an image process which facilitates detection of the target object in the image data. The image processing units are formed as a hierarchy structure. By inputting a plurality of image data which is utilized in the image process to a first two-input logical product filter for integrating a plurality of image data, target object detection is facilitated.

Abstract: An image processor (1) for subjecting an image picked up by an imaging apparatus (21) to image processing to extract a specific object from the image, the image processor comprising: an image processing section (3) which subjects a plurality kinds of images (t, t?1, . . . , t?k) picked up by the imaging apparatus to the image processing based on a processing program comprising image filters (F) combined in a form of a tree structure, and which forms an output image (O) in which the specific object is extracted.

Abstract: In image processing system for detecting a target object in image data, featuring a plurality of image processing units at least some having an image filter for conducting an image process which facilitates detection of the target object in the image data. The image processing units are formed as a hierarchy structure. By inputting a plurality of image data which is utilized in the image process to a first two-input logical product filter for integrating a plurality of image data, target object detection is faciliated.

Abstract: A stereo image processing apparatus is provided.