Benjamin Feng

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This paper describes a vision-based obstacle detection system for Unmanned Surface Vehicle (USV) towards the aim of real-time and high performance obstacle detection on the sea surface. By using both the monocular and stereo vision methods, the system offers the capacity of detecting and locating multiple obstacles in the range from 30 to 100 meters for(More)
A real-time obstacle detection system with vision sensors has been developed for Unmanned Surface Vehicle (USV). The system enables the detection and localization of multiple obstacles in the range from 30 to 300 meters on the sea surface. Field tests have proven the performance and reliability of the system to be satisfactory. This paper focuses on the(More)
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