Three-dimensional robot localization using cameras in wireless multimedia sensor networks

Feng, S; Shen, S; Huang, L; Champion, AC; Yu, S; Wu, C; Zhang, Y

Three-dimensional robot localization using cameras in wireless multimedia sensor networks

Feng, S Shen, S Huang, L Champion, AC Yu, S

Wu, C Zhang, Y

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Publication Type:: Journal Article
Citation:: Journal of Network and Computer Applications, 2019, 146
Issue Date:: 2019-11-15

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Field	Value	Language
dc.contributor.author	Feng, S	en_US
dc.contributor.author	Shen, S	en_US
dc.contributor.author	Huang, L	en_US
dc.contributor.author	Champion, AC	en_US
dc.contributor.author	Yu, S https://orcid.org/0000-0003-4485-6743	en_US
dc.contributor.author	Wu, C	en_US
dc.contributor.author	Zhang, Y	en_US
dc.date.accessioned	2020-03-19T03:09:03Z
dc.date.available	2020-03-19T03:09:03Z
dc.date.issued	2019-11-15	en_US
dc.identifier.citation	Journal of Network and Computer Applications, 2019, 146	en_US
dc.identifier.issn	1084-8045	en_US
dc.identifier.uri	http://hdl.handle.net/10453/139402
dc.description.abstract	© 2019 Elsevier Ltd We consider three-dimensional (3D) localization in wireless multimedia sensor networks (WMSNs) and seek optimal localization accuracy in order to ensure real-time data fusion of mobile robots in WMSNs. To this end, we propose a real-time 3D localization algorithm realized by a distributed architecture with various smart devices to overcome network instability and the bottleneck channel at the coordinator. We then employ the recursive least squares (RLS) algorithm to fuse the 2D image coordinates from multiple views synchronously in WMSNs and determine the mobile robot's 3D location in an indoor environment. To minimize wireless data transmission, we also develop a distributed architecture that combines various smart devices by defining the data content transmitted from multiple wireless visual sensors. Moreover, we analyze the factors influencing the network instability of various smart devices, and factors influencing the localization performance of mobile robots in a multiple-view system. Experimental results show the proposed algorithm can achieve reliable, efficient, and real-time 3D localization in indoor WMSNs.	en_US
dc.relation.ispartof	Journal of Network and Computer Applications	en_US
dc.relation.isbasedon	10.1016/j.jnca.2019.102425	en_US
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	Three-dimensional robot localization using cameras in wireless multimedia sensor networks	en_US
dc.type	Journal Article
utslib.citation.volume	146	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	1005 Communications Technologies	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
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	146	en_US

Abstract:

© 2019 Elsevier Ltd We consider three-dimensional (3D) localization in wireless multimedia sensor networks (WMSNs) and seek optimal localization accuracy in order to ensure real-time data fusion of mobile robots in WMSNs. To this end, we propose a real-time 3D localization algorithm realized by a distributed architecture with various smart devices to overcome network instability and the bottleneck channel at the coordinator. We then employ the recursive least squares (RLS) algorithm to fuse the 2D image coordinates from multiple views synchronously in WMSNs and determine the mobile robot's 3D location in an indoor environment. To minimize wireless data transmission, we also develop a distributed architecture that combines various smart devices by defining the data content transmitted from multiple wireless visual sensors. Moreover, we analyze the factors influencing the network instability of various smart devices, and factors influencing the localization performance of mobile robots in a multiple-view system. Experimental results show the proposed algorithm can achieve reliable, efficient, and real-time 3D localization in indoor WMSNs.

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http://hdl.handle.net/10453/139402