Road-Terrain Classification for Land Vehicles: Employing an Acceleration-Based Approach

Wang, S; Kodagoda, S; Shi, L; Wang, H

Road-Terrain Classification for Land Vehicles: Employing an Acceleration-Based Approach

Wang, S Kodagoda, S

Shi, L

Wang, H

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Publication Type:: Journal Article
Citation:: IEEE Vehicular Technology Magazine, 2017, 12 (3), pp. 34 - 41
Issue Date:: 2017-09-01

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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	Wang, H	en_US
dc.date.issued	2017-09-01	en_US
dc.identifier.citation	IEEE Vehicular Technology Magazine, 2017, 12 (3), pp. 34 - 41	en_US
dc.identifier.issn	1556-6072	en_US
dc.identifier.uri	http://hdl.handle.net/10453/125306
dc.description.abstract	© 2017 IEEE. The perception of the environment around a land vehicle plays a crucial role for its driving assistant system. Knowledge of the road terrain is useful for handling its characteristics while driving the vehicles and improving passengers' safety and comfort. In this article, an approach to classifying road-terrain vehicles is presented. An accelerometer is mounted on the suspension of the vehicle to measure the vibration that represents the characteristics of the road terrain, and the road profile can be calculated by knowing the speed and one-quarter-dynamic model of the vehicle. The optimized classifier and features, speed independency, and the effect of employing principal component analysis (PCA) are investigated, and the simulation shows that this acceleration-based approach is feasible for land vehicles in a range of outdoor scenarios.	en_US
dc.relation.ispartof	IEEE Vehicular Technology Magazine	en_US
dc.relation.isbasedon	10.1109/MVT.2017.2656949	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	Road-Terrain Classification for Land Vehicles: Employing an Acceleration-Based Approach	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	12	en_US
utslib.for	0906 Electrical and Electronic 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/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CAS - Centre for Autonomous Systems
utslib.copyright.status	closed_access	*
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	12	en_US

Abstract:

© 2017 IEEE. The perception of the environment around a land vehicle plays a crucial role for its driving assistant system. Knowledge of the road terrain is useful for handling its characteristics while driving the vehicles and improving passengers' safety and comfort. In this article, an approach to classifying road-terrain vehicles is presented. An accelerometer is mounted on the suspension of the vehicle to measure the vibration that represents the characteristics of the road terrain, and the road profile can be calculated by knowing the speed and one-quarter-dynamic model of the vehicle. The optimized classifier and features, speed independency, and the effect of employing principal component analysis (PCA) are investigated, and the simulation shows that this acceleration-based approach is feasible for land vehicles in a range of outdoor scenarios.

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http://hdl.handle.net/10453/125306