Abstract: A three-dimensional object detection device 1 includes a camera 10 and a calculator 20. The calculator 20 performs viewpoint conversion processing on an image captured by the camera 10 to create a bird's eye view image, calculates, for each of a plurality of positions along a vertical imaginary line extending in a vertical direction in an actual space, a luminance difference between two pixels near the position, and detects a three-dimensional object on the basis of continuities of the calculated luminance differences of the respective positions.

Abstract: A periodic stationary object detection system extracts a feature point of a three-dimensional object from image data on a predetermined region of a bird's eye view image for each of multiple sub regions included in the predetermined region, calculates waveform data corresponding to a distribution of the feature points in the predetermined region on the bird's eye view image, and judges whether or not the three-dimensional object having the extracted feature point is a periodic stationary object candidate on the basis of whether or not peak information of the waveform data is equal to or larger than a predetermined threshold value.

Abstract: A travel distance detection device includes: an image-capturing unit configured to capture an image; an alignment unit configured to align images in position of bird's-eye view image, the images captured at different times by the image-capturing unit; and a solid object detection unit configured to detect a solid object based on difference image data between data of the images captured at the different times and aligned by the alignment unit. The solid object detection unit counts the number of pixels which each express a certain difference on the difference image data and which are arranged in a direction in which the solid object is inclined when the image of the predetermined region is converted into the bird's-eye view image, then produces a frequency distribution of the counted pixels to generate a difference waveform, and calculates a travel distance of the solid object based on time variation of the difference waveform.

Abstract: A periodic stationary object detection system extracts a feature point of a three-dimensional object from image data on a predetermined region of a bird's eye view image for each of multiple sub regions included in the predetermined region, calculates waveform data corresponding to a distribution of the feature points in the predetermined region on the bird's eye view image, and judges whether or not the three-dimensional object having the extracted feature point is a periodic stationary object candidate on the basis of whether or not peak information of the waveform data is equal to or larger than a predetermined threshold value.

Abstract: A three-dimensional object detection device 1 includes a camera 10 and a calculator 20. The calculator 20 performs viewpoint conversion processing on an image captured by the camera 10 to create a bird's eye view image, calculates, for each of a plurality of positions along a vertical imaginary line extending in a vertical direction in an actual space, a luminance difference between two pixels near the position, and detects a three-dimensional object on the basis of continuities of the calculated luminance differences of the respective positions.

Abstract: A travel distance detection device includes: an image-capturing unit configured to capture an image; an alignment unit configured to align images in position of bird's-eye view image, the images captured at different times by the image-capturing unit; and a solid object detection unit configured to detect a solid object based on difference image data between data of the images captured at the different times and aligned by the alignment unit. The solid object detection unit counts the number of pixels which each express a certain difference on the difference image data and which are arranged in a direction in which the solid object is inclined when the image of the predetermined region is converted into the bird's-eye view image, then produces a frequency distribution of the counted pixels to generate a difference waveform, and calculates a travel distance of the solid object based on time variation of the difference waveform.