Recent Developments in Vision Based Target Tracking for Autonomous Vehicles Navigation

Jia, Z; Balasuriya, A; Challa, S

Recent Developments in Vision Based Target Tracking for Autonomous Vehicles Navigation

Jia, Z Balasuriya, A Challa, S

Permalink

Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: Proceedings of IEEE Intelligent Transportation Systems Conference, 2006. ITSC '06, 2006, pp. 765 - 770
Issue Date:: 2006-01

Closed Access

	Filename	Description	Size
	2009003703OK.pdf		448.33 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Jia, Z	en_US
dc.contributor.author	Balasuriya, A	en_US
dc.contributor.author	Challa, S	en_US
dc.contributor.editor	Technical Committee, IEEE	en_US
dc.date	2006-09-17	en_US
dc.date.issued	2006-01	en_US
dc.identifier.citation	Proceedings of IEEE Intelligent Transportation Systems Conference, 2006. ITSC '06, 2006, pp. 765 - 770	en_US
dc.identifier.isbn	1-4244-0093-7	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16501
dc.description.abstract	This paper surveys the developments of the last 10 years in the area of vision based target tracking for autonomous vehicles navigation. First, the motivations and applications of using vision based target tracking for autonomous vehicles navigation are presented in the introduction section. It can be concluded that it is very necessary to develop robust visual target tracking based navigation algorithms for the broad applications of autonomous vehicles. Then this paper reviews the recent techniques in vision based target tracking for the applications of autonomous land vehicles navigation. Next the increasing trends of using data fusion for visual target tracking based autonomous vehicles navigation are discussed. It is clear that through data fusion the tracking performance is improved and becomes more robust. Based on the reviews, the remaining research challenges are summarized.	en_US
dc.publisher	IEEE	en_US
dc.relation.ispartof	Proceedings of IEEE Intelligent Transportation Systems Conference, 2006. ITSC '06	en_US
dc.relation.ispartof	IEEE Intelligent Transportation Systems Conference	en_US
dc.relation.isbasedon	10.1109/ITSC.2006.1706834	en_US
dc.rights	© 2006 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	Recent Developments in Vision Based Target Tracking for Autonomous Vehicles Navigation	en_US
dc.type	Conference Proceeding
utslib.location	Piscataway, USA	en_US
utslib.location.activity	Toronto, Canada	en_US
utslib.for	1005 Communications Technologies	en_US
dc.location.activity	Toronto, Canada	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	closed_access
pubs.consider-herdc	false	en_US
pubs.place-of-publication	Piscataway, USA	en_US
pubs.start-date	2006-09-17	en_US

Abstract:

This paper surveys the developments of the last 10 years in the area of vision based target tracking for autonomous vehicles navigation. First, the motivations and applications of using vision based target tracking for autonomous vehicles navigation are presented in the introduction section. It can be concluded that it is very necessary to develop robust visual target tracking based navigation algorithms for the broad applications of autonomous vehicles. Then this paper reviews the recent techniques in vision based target tracking for the applications of autonomous land vehicles navigation. Next the increasing trends of using data fusion for visual target tracking based autonomous vehicles navigation are discussed. It is clear that through data fusion the tracking performance is improved and becomes more robust. Based on the reviews, the remaining research challenges are summarized.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/16501