Automatic road surface profiling with sensors fusion

Luo, X; Li, Y; Ren, XT; Wang, JJ

Automatic road surface profiling with sensors fusion

Luo, X Li, Y Ren, XT Wang, JJ

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Publication Type:: Conference Proceeding
Citation:: 2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012, 2012, pp. 608 - 613
Issue Date:: 2012-12-01

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Field	Value	Language
dc.contributor.author	Luo, X	en_US
dc.contributor.author	Li, Y	en_US
dc.contributor.author	Ren, XT	en_US
dc.contributor.author	Wang, JJ https://orcid.org/0000-0002-6282-0456	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. 608 - 613	en_US
dc.identifier.isbn	9781467318716	en_US
dc.identifier.uri	http://hdl.handle.net/10453/32324
dc.description.abstract	This paper addresses the issue of automatically profiling the road surface based on sensor fusion. Road surface profiling in this research paper includes road boundary detection, white line detection and lane division. We propose an approach to perform automatic and robust road surface profiling with the fusion of the following sensors: LADAR (Laser Detection and Ranging), GPS (Global Positioning System), INS (Inertial Navigation System), cameras and an odometer. The LADAR is the most important in our research since we propose a new technique that utilizes laser remission to detect white lines. A prototype system has also been developed for testing with the capability of converting profiling results into video files for easy reference and management. The system is able to work under severe weather and light condition, and profiling all lanes within road boundary at one run. Experimental results on a wide variety of roads have demonstrated the effectiveness of the proposed system. © 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.2012.6485227	en_US
dc.title	Automatic road surface profiling with sensors fusion	en_US
dc.type	Conference Proceeding
utslib.for	090602 Control Systems, Robotics and Automation	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 Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CBI - Centre for Built Infrastructure
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

This paper addresses the issue of automatically profiling the road surface based on sensor fusion. Road surface profiling in this research paper includes road boundary detection, white line detection and lane division. We propose an approach to perform automatic and robust road surface profiling with the fusion of the following sensors: LADAR (Laser Detection and Ranging), GPS (Global Positioning System), INS (Inertial Navigation System), cameras and an odometer. The LADAR is the most important in our research since we propose a new technique that utilizes laser remission to detect white lines. A prototype system has also been developed for testing with the capability of converting profiling results into video files for easy reference and management. The system is able to work under severe weather and light condition, and profiling all lanes within road boundary at one run. Experimental results on a wide variety of roads have demonstrated the effectiveness of the proposed system. © 2012 IEEE.

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http://hdl.handle.net/10453/32324