Title :
Improvement in real-time obstacle detection system for USV
Author :
Han Wang ; Zhuo Wei ; Chek Seng Ow ; Kah Tong Ho ; Feng, Baicheng ; Junjie Huang
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
Abstract :
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.
Keywords :
collision avoidance; computer vision; object detection; remotely operated vehicles; USV; computer vision; real-time obstacle detection system; unmanned surface vehicle; vision sensors; Boats; Cameras; Feature extraction; Global Positioning System; Instruction sets; Real-time systems; Sea surface; Unmanned Surface Vehicle (USV); computer vision; obstacle detection;
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-1871-6
Electronic_ISBN :
978-1-4673-1870-9
DOI :
10.1109/ICARCV.2012.6485336
