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Sensors 2012, 12(9), 12386-12404; doi:10.3390/s120912386
Article

Design of a Multi-Sensor Cooperation Travel Environment Perception System for Autonomous Vehicle

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Received: 31 July 2012; in revised form: 20 August 2012 / Accepted: 23 August 2012 / Published: 12 September 2012
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Abstract: This paper describes the environment perception system designed for intelligent vehicle SmartV-II, which won the 2010 Future Challenge. This system utilizes the cooperation of multiple lasers and cameras to realize several necessary functions of autonomous navigation: road curb detection, lane detection and traffic sign recognition. Multiple single scan lasers are integrated to detect the road curb based on Z-variance method. Vision based lane detection is realized by two scans method combining with image model. Haar-like feature based method is applied for traffic sign detection and SURF matching method is used for sign classification. The results of experiments validate the effectiveness of the proposed algorithms and the whole system.
Keywords: autonomous vehicle; travel environment perception system; multi-sensor cooperation; road and lane detection; traffic sign detection autonomous vehicle; travel environment perception system; multi-sensor cooperation; road and lane detection; traffic sign detection
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Chen, L.; Li, Q.; Li, M.; Zhang, L.; Mao, Q. Design of a Multi-Sensor Cooperation Travel Environment Perception System for Autonomous Vehicle. Sensors 2012, 12, 12386-12404.

AMA Style

Chen L, Li Q, Li M, Zhang L, Mao Q. Design of a Multi-Sensor Cooperation Travel Environment Perception System for Autonomous Vehicle. Sensors. 2012; 12(9):12386-12404.

Chicago/Turabian Style

Chen, Long; Li, Qingquan; Li, Ming; Zhang, Liang; Mao, Qingzhou. 2012. "Design of a Multi-Sensor Cooperation Travel Environment Perception System for Autonomous Vehicle." Sensors 12, no. 9: 12386-12404.



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