Abstract: A road surface detecting apparatus comprises a camera sensor 11 for taking images of a region in front of a vehicle, and an electronic control unit (ECU) configured to: calculate, based on a taken image, parallax information including a parallax of each pixel composing the taken image; extract a pixel corresponding to a road surface from the taken image; acquire, based on information of the extracted pixel, information-indicating-a-road-surface; calculate, based on the information-indicating-a-road-surface, a road surface gradient formula by approximating a gradient of the road surface by a quadratic function; determine whether or not an absolute value of a coefficient of a quadratic term of this formula is greater than a coefficient threshold; and invalidate the information-indicating-a-road-surface when the absolute value is determined to be greater than the threshold.

Abstract: A vicinity supervising device includes an image capturing unit that captures a plurality of images in which an object is simultaneously captured from different locations; a matching processing unit that calculates a parallax point and a reliability point, the parallax point being the number of pixel regions from which a parallax is calculated among a plurality of pixel regions divided by the plurality of images, and the reliability point being the number of pixel regions having high recognition reliability among the plurality of pixel regions; and an evaluation unit that evaluates, based on the parallax point and the reliability point, an imaging environment where the plurality of images are captured.

Abstract: A target object estimating apparatus comprises parallax information calculating means for calculating parallax information including a parallax between corresponding pixels of taken images taken at a same computation timing, road surface region detecting means for detecting a road surface region in the taken image based on the parallax information, road surface region determining means for determining whether or not each pixel in the taken image corresponds to the road surface region, transition information calculating means for calculating transition information including a change amount of a position of each pixel, using temporally sequential taken images, and estimated value calculating means for estimating a position and a speed of a target object by calculating, based on the parallax/transition information, estimated values of the position and the speed of each pixel.

Abstract: An apparatus comprises three-dimensional object detecting means for detecting a three-dimensional object in a taken image, temporarily determining means for calculating, based on parallax information, a lower end height from a road surface to a lower end of the object, for temporarily determining that the object is a ground-contacting object when the lower end height is less than or equal to a threshold, and for temporarily determining that the object is a floating object when the lower end height exceeds the threshold, and finally determining means for finally determining whether the object is a ground-contacting object or a floating object. The finally determining means finally determines that the object is a ground-contacting object at the current computation timing when the object is determined to be a ground-contacting object in at least one of the temporary determination at the current computation timing and the final determination at the previous computation timing.

Abstract: An apparatus for supervising a vicinity of a vehicle includes: an image capturing unit that captures a plurality of images in which an object is simultaneously captured from different locations; a parallax calculation unit that performs a sub pixel estimation based on the plurality of images to calculate a parallax value; a parallax offset calculation unit that calculates a parallax offset value based on the parallax value under a condition where a decimal part S of the parallax value is within a predetermined range; and a parallax correction unit that corrects the parallax value using the parallax offset value.

Abstract: In an object detection device, a distance image generation part generates a distance image based of a pair of brightness images transmitted from a stereo camera. A road surface estimation part estimates a road surface based on the generated distance image. An object detection part groups together positions having a distance value located on/over the estimated road surface and satisfying a predetermined relationship, and detects an object based on the grouped positions. An abnormality detection part detecting occurrence of image abnormality in the brightness image captured during a current detection period. The road surface estimation part estimates the road surface at the current detection period based on the road surface estimated at the previous detection period when the abnormality detection part detects the occurrence of image abnormality in the brightness image captured during the current detection period.

Abstract: A parallax calculating apparatus comprises first parallax calculating means for calculating a first parallax on a basis of a reference image for all pixels in the reference image using SGM method, second parallax calculating means for calculating a second parallax on a basis of the reference image for at least a part of pixels among pixels in the reference image using BM method, and final parallax calculating means for calculating a final parallax of each of pixels in the reference image based on the first and second parallaxes. The final parallax calculating means calculates the first parallax as the final parallax for a pixel for which only the first parallax has been calculated and calculates a parallax where a decimal part of the first parallax is replaced with that of the second parallax as the final parallax for a pixel for which the first and second parallaxes have been calculated.

Abstract: A parallax calculating apparatus comprises first parallax calculating means for calculating a first parallax on a basis of a reference image for all pixels in the reference image using SGM method, second parallax calculating means for calculating a second parallax on a basis of the reference image for at least a part of pixels among pixels in the reference image using BM method, and final parallax calculating means for calculating a final parallax of each of pixels in the reference image based on the first and second parallaxes, The final parallax calculating means calculates the first parallax as the final parallax for a pixel for which only the first parallax has been calculated and calculates a parallax where a decimal part of the first parallax is replaced with that of the second parallax as the final parallax for a pixel for which the first and second parallaxes have been calculated,

Abstract: A target object estimating apparatus comprises parallax information calculating means for calculating parallax information including a parallax between corresponding pixels of taken images taken at a same computation timing, road surface region detecting means for detecting a road surface region in the taken image based on the parallax information, road surface region determining means for determining whether or not each pixel in the taken image corresponds to the road surface region, transition information calculating means for calculating transition information including a change amount of a position of each pixel, using temporally sequential taken images, and estimated value calculating means for estimating a position and a speed of a target object by calculating, based on the parallax/transition information, estimated values of the position and the speed of each pixel.

Abstract: A road surface detecting apparatus comprises imaging means 11 for taking an image of a region in front of a vehicle, parallax information calculating means for calculating, based on a taken image, parallax information including a parallax of each pixel composing the taken image, road surface information acquiring means for extracting a pixel corresponding to a road surface from the taken image, and acquiring, based on information of extracted pixel, information-indicating-a-road-surface, road surface gradient formula calculating means for calculating, based on the information-indicating-a-road-surface, a road surface gradient formula by approximating a gradient of the road surface by a quadratic function, gradient change determining means for determining whether or not an absolute value of a coefficient of a quadratic term of this formula is greater than a coefficient threshold, and invalidating means for invalidating the information-indicating-a-road-surface when the absolute value is determined to be greate

Abstract: An apparatus comprises three-dimensional object detecting means for detecting a three-dimensional object in a taken image, temporarily determining means for calculating, based on parallax information, a lower end height from a road surface to a lower end of the object, for temporarily determining that the object is a ground-contacting object when the lower end height is less than or equal to a threshold, and for temporarily determining that the object is a floating object when the lower end height exceeds the threshold, and finally determining means for finally determining whether the object is a ground-contacting object or a floating object. The finally determining means finally determines that the object is a ground-contacting object at the current computation timing when the object is determined to be a ground-contacting object in at least one of the temporary determination at the current computation timing and the final determination at the previous computation timing.

Abstract: A vicinity supervising device includes an image capturing unit that captures a plurality of images in which an object is simultaneously captured from different locations; a matching processing unit that calculates a parallax point and a reliability point, the parallax point being the number of pixel regions from which a parallax is calculated among a plurality of pixel regions divided by the plurality of images, and the reliability point being the number of pixel regions having high recognition reliability among the plurality of pixel regions; and an evaluation unit that evaluates, based on the parallax point and the reliability point, an imaging environment where the plurality of images are captured.

Abstract: An apparatus for supervising a vicinity of a vehicle includes: an image capturing unit that captures a plurality of images in which an object is simultaneously captured from different locations; a parallax calculation unit that performs a sub pixel estimation based on the plurality of images to calculate a parallax value; a parallax offset calculation unit that calculates a parallax offset value based on the parallax value under a condition where a decimal part S of the parallax value is within a predetermined range; and a parallax correction unit that corrects the parallax value using the parallax offset value.

Abstract: A road surface information acquisition apparatus a lane line recognizer configured to, based on a road surface image of a carpool lane forward of a vehicle acquired by a camera, recognize lane lines of the carpool lane. The apparatus further includes a determiner configured to, based on a lane partition line recognized by the lane line recognizer, determine a start point and an end point of the entrance and exit, and a lane-width calculator configured to, based on the lane lines recognized by the lane line recognizer, calculate a lane width of the carpool lane. The apparatus further includes a lane-width corrector configured to, based on determinations made by the determiner, correct the lane width calculated by the lane-width calculator. Based on a broken line as the lane partition line, the determiner determines the start point and the end point of the entrance and exit of the carpool lane.

Abstract: In an object detection apparatus, a range image generator, based on distance information indicative of distances from a given measurement point to objects in real space, generates a range image indicative of a distribution of distance information of objects located around the measurement point. A subgroup generator horizontally divides the range image into a number of column regions of prescribed width, and for each column region, generates one or more subgroups that extend continuously in a vertical direction of the range image and fall within a given range of distance information. A continuity determiner determines, for each of the subgroups, whether or not there is distance continuity between the subgroup and its horizontally adjacent subgroup in the range image. A merger merges together horizontally continuous-in-distance subgroups. An object detector detects an object in each of regions of the range image corresponding to the respective merged groups.

Abstract: In an object detection device, a distance image generation part generates a distance image based of a pair of brightness images transmitted from a stereo camera. A road surface estimation part estimates a road surface based on the generated distance image. An object detection part groups together positions having a distance value located on/over the estimated road surface and satisfying a predetermined relationship, and detects an object based on the grouped positions. An abnormality detection part detecting occurrence of image abnormality in the brightness image captured during a current detection period. The road surface estimation part estimates the road surface at the current detection period based on the road surface estimated at the previous detection period when the abnormality detection part detects the occurrence of image abnormality in the brightness image captured during the current detection period.

Abstract: An object detection apparatus includes a camera and an ECU. The camera is mounted to a vehicle and captures an image. The ECU is configured to obtain a depth distance for each pixel area of the image based on the image; extract at least one potential object based on the depth distance; calculate an amount of change over time in the depth distance of the at least one potential object; and detect an object around the vehicle from among the at least one potential object using the amount of change over time. When a first potential object and a second potential object that are adjacent in the image are extracted, and a second amount of change over time is twice a first amount of change over time, the second potential object is determined to be the same object as the first potential object.

Abstract: In an object detection apparatus and an object detection method, as first and second images, captured images of an area ahead of a vehicle in a vehicle advancing direction are acquired from first and second imaging units provided in the vehicle. Based on the first and second images, whether or not an object is present in a blind spot ahead of the vehicle in the vehicle advancing direction is determined. When the object is determined to be present in the blind spot, the first and second images are held in time series. As first and second image differences, differences in a feature quantity between a previous image and a current image in the first and second images are acquired. Based on the first and second image differences, whether or not the object is approaching the area ahead of the vehicle is determined.

Abstract: An object estimation apparatus estimates a position and a speed of an object in images based on the images taken by an image taking means from different positions.

Abstract: In an object detection apparatus, a range image generator, based on distance information indicative of distances from a given measurement point to objects in real space, generates a range image indicative of a distribution of distance information of objects located around the measurement point. A subgroup generator horizontally divides the range image into a number of column regions of prescribed width, and for each column region, generates one or more subgroups that extend continuously in a vertical direction of the range image and fall within a given range of distance information. A continuity determiner determines, for each of the subgroups, whether or not there is distance continuity between the subgroup and its horizontally adjacent subgroup in the range image. A merger merges together horizontally continuous-in-distance subgroups. An object detector detects an object in each of regions of the range image corresponding to the respective merged groups.