Improvement in real-time obstacle detection system for USV
Ow, Chek Seng
Ho, Kah Tong
Date of Issue2012
International Conference on Control Automation Robotics & Vision (12th : 2012 : Guangzhou, China)
School of Electrical and Electronic Engineering
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 improvement made in the real-time obstacle detection system during the last year.
DRNTU::Engineering::Electrical and electronic engineering
© 2012 IEEE.