In order to obtain the distance between the main vehicle and the surrounding close-range vehicles to ensure driving safety as well as to prevent cut-and-run accidents,a vision-based close-range omni-directional vehicle distance de-tection method is proposed.Firstly,a four-way fisheye lens is installed around the vehicle body,and a semantic segmenta-tion model is used to semantically segment the vehicles in the captured image;then the four-way image after vehicle seg-mentation is stitched into a 360-degree ring-view image;according to the proportionality between the pixels in the ring-view image and the distance from the actual ground,the detection of the proximity omni-directional distance is realized by calculating the closest distance from the outer edges of the surrounding vehicles to the outer edge of the main vehicle in the image.The experimental results show that the average error of the close-range distance detection proposed in this paper is 12.6％,and the percentage of error within 15％is more than 90％.
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