Roadside curb detection based on fusing stereo vision and mono vision

Tingbo Hu; Tao Wu

doi:10.1117/12.920120

12 January 2012 Roadside curb detection based on fusing stereo vision and mono vision

Tingbo Hu, Tao Wu

Proceedings Volume 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies; 83501H (2012) https://doi.org/10.1117/12.920120
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore

Abstract

Detecting roadside curb is a challenging research topic for stereo vision, as the curb is only 10-30cm higher than the road surface and the difference between the curb and road surface is usually interfered by the noise in the disparity map. In this paper, a roadside curb detection algorithm integrating the advantages of stereo vision and mono vision is proposed. At first, the rough results are detected from the disparity varied curve and then sign filters are used to get quite robust results. At last, the curb lines are estimated by using weighted Hough transform. Experimental results show that this algorithm can detect the roadside curb fast and effectively.

Citation Download Citation

Tingbo Hu and Tao Wu "Roadside curb detection based on fusing stereo vision and mono vision", Proc. SPIE 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, 83501H (12 January 2012); https://doi.org/10.1117/12.920120

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