A vision-based obstacle detection system for Unmanned Surface Vehicle
Han Wang, Wei Zhuo, Sisong Wang, Chek Seng Ow, Kah Tong Ho, Benjamin Feng · 2011
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 high speed USV which runs at speeds up to 12 knots. Field tests in the real scenes have been taken and the obstacle detection system for USV is proven to provide stable and satisfactory performance.