Vision-based road bump detection using a front-mounted car camcorder

Hua Tsung Chen, Chun Yu Lai, Chun Chieh Hsu, Suh-Yin Lee, Bao-Shuh Lin , Chien Peng Ho

研究成果: Conference contribution同行評審

13 引文 斯高帕斯(Scopus)


Advanced vehicle safety is a recently emerging issue, appealed from the rapidly explosive population of car owners. Increasing driver assistance systems have been designed for warning drivers of what should be noticed by analyzing surrounding environments with sensors and/or cameras. As one of the hazard road conditions, road bumps not only damage vehicles but also cause serious danger, especially at night or under poor lighting conditions. In this paper we propose a vision-based road bump detection system using a front-mounted car camcorder, which tends to be widespread deployed. First, the input video is transformed into a time-sliced image, which is a condensed video representation. Consequently, we estimate the vertical motion of the vehicle based on the time-sliced image and infer the existence of road bumps. Once a bump is detected, the location fix obtained from GPS is reported to a central server, so that the other vehicles can receive warnings when approaching the detected bumpy regions. Encouraging experimental results show that the proposed system can detect road bumps efficiently and effectively. It can be expected that traffic security will be significantly promoted through the mutually beneficial mechanism that a driver who is willing to report the bumps he/she meets can receive warnings issued from others as well.

主出版物標題Proceedings - International Conference on Pattern Recognition
發行者Institute of Electrical and Electronics Engineers Inc.
出版狀態Published - 4 12月 2014
事件22nd International Conference on Pattern Recognition, ICPR 2014 - Stockholm, Sweden
持續時間: 24 8月 201428 8月 2014


名字Proceedings - International Conference on Pattern Recognition


Conference22nd International Conference on Pattern Recognition, ICPR 2014


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