An algorithm for collision free navigation of an intelligent powered wheelchair in dynamic environments

Wang, C; Savkin, AV; Nguyen, TN; Nguyen, HT

An algorithm for collision free navigation of an intelligent powered wheelchair in dynamic environments

Wang, C Savkin, AV Nguyen, TN

Nguyen, HT

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Publication Type:: Conference Proceeding
Citation:: 2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012, 2012, pp. 1571 - 1575
Issue Date:: 2012-12-01

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Field	Value	Language
dc.contributor.author	Wang, C	en_US
dc.contributor.author	Savkin, AV	en_US
dc.contributor.author	Nguyen, TN https://orcid.org/0000-0002-9958-9876	en_US
dc.contributor.author	Nguyen, HT https://orcid.org/0000-0003-3373-8178	en_US
dc.date.issued	2012-12-01	en_US
dc.identifier.citation	2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012, 2012, pp. 1571 - 1575	en_US
dc.identifier.isbn	9781467318716	en_US
dc.identifier.uri	http://hdl.handle.net/10453/23105
dc.description.abstract	We propose a biologically inspired navigation algorithm and implement it on an intelligent wheelchair. The intelligent wheelchair demonstrates an excellent performance in detecting and avoiding static and moving obstacles under the guidance of the proposed algorithm, and it is able to safely and efficiently reach the target in a cluttered dynamic environment. © 2012 IEEE.	en_US
dc.relation.ispartof	2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012	en_US
dc.relation.isbasedon	10.1109/ICARCV.2012.6485380	en_US
dc.title	An algorithm for collision free navigation of an intelligent powered wheelchair in dynamic environments	en_US
dc.type	Conference Proceeding
utslib.for	0903 Biomedical Engineering	en_US
dc.location.activity	Guangzhou, China	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/Strength - CHT - Health Technologies
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

We propose a biologically inspired navigation algorithm and implement it on an intelligent wheelchair. The intelligent wheelchair demonstrates an excellent performance in detecting and avoiding static and moving obstacles under the guidance of the proposed algorithm, and it is able to safely and efficiently reach the target in a cluttered dynamic environment. © 2012 IEEE.

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

http://hdl.handle.net/10453/23105