Road surface distress detection in disparity space
2017 International Conference on Image and Vision Computing New Zealand (IVCNZ)(2017)
摘要
Automatic identification of potholes on roads is needed to avoid traffic accidents or to ensure better driving comfort. This paper presents a strategy which focuses on the detection of major distress present on a road surface using stereo vision. The proposed strategy performs road-plane modelling directly in the image-disparity space, without back-projecting a disparity image into 3D space. The modelling is based on a RANSAC process that finds the dominating plane for locating potholes being below surface level. We also formulate an alternative implementation using the v-disparity technique. Both implementations are evaluated on an urban dataset which indicates a very high accuracy of our dominating-plane method in terms of pothole detection.
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关键词
road surface distress detection,traffic accidents,driving comfort,stereo vision,road-plane modelling,disparity image,v-disparity technique,dominating-plane method,pothole detection,RANSAC process,urban dataset
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