Improvement in real-time obstacle detection system for USV

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 t...

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Main Authors:	Wang, Han, Wei, Zhuo, Ow, Chek Seng, Ho, Kah Tong, Feng, Benjamin, Huang, Junjie
Other Authors:	School of Electrical and Electronic Engineering
Format:	Conference or Workshop Item
Language:	English
Published:	2013
Subjects:	DRNTU::Engineering::Electrical and electronic engineering
Online Access:	https://hdl.handle.net/10356/97022 http://hdl.handle.net/10220/11783
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-97022
record_format	dspace
spelling	sg-ntu-dr.10356-970222020-03-07T13:24:47Z Improvement in real-time obstacle detection system for USV Wang, Han Wei, Zhuo Ow, Chek Seng Ho, Kah Tong Feng, Benjamin Huang, Junjie School of Electrical and Electronic Engineering International Conference on Control Automation Robotics & Vision (12th : 2012 : Guangzhou, China) DRNTU::Engineering::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. 2013-07-17T07:48:45Z 2019-12-06T19:38:00Z 2013-07-17T07:48:45Z 2019-12-06T19:38:00Z 2012 2012 Conference Paper Wang, H., Wei, Z., Ow, C. S., Ho, K. T., Feng, B., & Huang, J. (2012). Improvement in real-time obstacle detection system for USV. 2012 12th International Conference on Control Automation Robotics & Vision (ICARCV), 1317-1322. https://hdl.handle.net/10356/97022 http://hdl.handle.net/10220/11783 10.1109/ICARCV.2012.6485336 en © 2012 IEEE.
institution	Nanyang Technological University
building	NTU Library
country	Singapore
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Electrical and electronic engineering
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering Wang, Han Wei, Zhuo Ow, Chek Seng Ho, Kah Tong Feng, Benjamin Huang, Junjie Improvement in real-time obstacle detection system for USV
description	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.
author2	School of Electrical and Electronic Engineering
author_facet	School of Electrical and Electronic Engineering Wang, Han Wei, Zhuo Ow, Chek Seng Ho, Kah Tong Feng, Benjamin Huang, Junjie
format	Conference or Workshop Item
author	Wang, Han Wei, Zhuo Ow, Chek Seng Ho, Kah Tong Feng, Benjamin Huang, Junjie
author_sort	Wang, Han
title	Improvement in real-time obstacle detection system for USV
title_short	Improvement in real-time obstacle detection system for USV
title_full	Improvement in real-time obstacle detection system for USV
title_fullStr	Improvement in real-time obstacle detection system for USV
title_full_unstemmed	Improvement in real-time obstacle detection system for USV
title_sort	improvement in real-time obstacle detection system for usv
publishDate	2013
url	https://hdl.handle.net/10356/97022 http://hdl.handle.net/10220/11783
_version_	1681049194644635648

Improvement in real-time obstacle detection system for USV

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