A detection method for pavement roughness with binocular vision

Xiaodong Dong; Ping Lou; Junwei Yan; Jiwei Hu

doi:10.1117/12.2557811

3 January 2020 A detection method for pavement roughness with binocular vision

Xiaodong Dong, Ping Lou, Junwei Yan, Jiwei Hu

Proceedings Volume 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019); 1137327 (2020) https://doi.org/10.1117/12.2557811
Event: Eleventh International Conference on Graphics and Image Processing, 2019, Hangzhou, China

Abstract

With the development of intelligent vehicle technology, the environment perception of intelligent vehicles is becoming more and more important. The detection of pavement roughness is an important component of environmental perception. In this paper, binocular stereo vision technology is used to detect the roughness of pavement on which vehicles drive, and a square segmentation method is used to calculate the value of the roughness. The binocular vision sensor is used to acquire the image and process it to get the depth image. Then square segmentation method is used to calculate the roughness of the pavement. By comparing scanning each point individually and calculating the difference of each point, square segmentation method will greatly reduce the calculating time. Through the algorithm verification of the actual pavement detection, the experiment shows the effectiveness of the method.

Citation Download Citation

Xiaodong Dong, Ping Lou, Junwei Yan, and Jiwei Hu "A detection method for pavement roughness with binocular vision", Proc. SPIE 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019), 1137327 (3 January 2020); https://doi.org/10.1117/12.2557811

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