Lidar-based road terrain recognition for passenger vehicles

Wang, S; Kodagoda, S; Shi, L; Xu, N

Lidar-based road terrain recognition for passenger vehicles

Wang, S Kodagoda, S

Shi, L

Xu, N

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Publication Type:: Journal Article
Citation:: International Journal of Vehicle Design, 2017, 74 (2), pp. 153 - 165
Issue Date:: 2017-01-01

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Field	Value	Language
dc.contributor.author	Wang, S	en_US
dc.contributor.author	Kodagoda, S https://orcid.org/0000-0001-5175-9138	en_US
dc.contributor.author	Shi, L https://orcid.org/0000-0002-5215-025X	en_US
dc.contributor.author	Xu, N	en_US
dc.date.issued	2017-01-01	en_US
dc.identifier.citation	International Journal of Vehicle Design, 2017, 74 (2), pp. 153 - 165	en_US
dc.identifier.issn	0143-3369	en_US
dc.identifier.uri	http://hdl.handle.net/10453/125011
dc.description.abstract	Copyright © 2017 Inderscience Enterprises Ltd. The road terrain type is important information about a passenger vehicle’s surroundings. It suggests an appropriate control algorithm and driving strategy. In this paper, a Lidar sensor is employed to reconstruct the road surface and extract features for terrain classification. The experiment vehicle was driven on four specific road terrains at a variety of speeds. The speed dependency and the effect of using principal component analysis were investigated. The simulation experimental results show that this Lidar sensor-based approach is feasible and robust for passenger vehicles in a range of outdoor scenarios.	en_US
dc.relation.ispartof	International Journal of Vehicle Design	en_US
dc.relation.isbasedon	10.1504/IJVD.2017.085455	en_US
dc.subject.classification	Automobile Design & Engineering	en_US
dc.title	Lidar-based road terrain recognition for passenger vehicles	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	74	en_US
utslib.for	0902 Automotive Engineering	en_US
utslib.for	0913 Mechanical Engineering	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 - CAS - Centre for Autonomous Systems
utslib.copyright.status	open_access
pubs.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	74	en_US

Abstract:

Copyright © 2017 Inderscience Enterprises Ltd. The road terrain type is important information about a passenger vehicle’s surroundings. It suggests an appropriate control algorithm and driving strategy. In this paper, a Lidar sensor is employed to reconstruct the road surface and extract features for terrain classification. The experiment vehicle was driven on four specific road terrains at a variety of speeds. The speed dependency and the effect of using principal component analysis were investigated. The simulation experimental results show that this Lidar sensor-based approach is feasible and robust for passenger vehicles in a range of outdoor scenarios.

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

http://hdl.handle.net/10453/125011