Technical Papers
Feb 16, 2016

Automatic Registration of Mobile LiDAR Data Using High-Reflectivity Traffic Signs

Publication: Journal of Construction Engineering and Management
Volume 142, Issue 8

Abstract

Mobile light detection and ranging (LiDAR) is currently one of the most used instruments in road inspections to collect geometric and radiometric data. Different strips of the same area are common and bring problems in data registration related to the inaccuracies of global navigation satellite systems. This paper shows a methodology for automatic and robust data registration. It is based on segmentation of highly reflective data (i.e., road signs) and avoids the use of control points manually marked, typically used in the traditional techniques. The data set must be acquired under favorable climatological conditions. Root-mean-square errors in registration show values around 2 cm, while if the high-reflectivity segmentation is not used values higher than 8 cm are obtained.

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Acknowledgments

The authors want to thank the Xunta de Galicia (Grant No. CN2012/269) and Spanish Government (Grant No. TIN2013-46801-C4-4-R; ENE2013-48015-C3-1-R; FPU: AP2010-2969).

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 142Issue 8August 2016

History

Received: Sep 11, 2015
Accepted: Dec 9, 2015
Published online: Feb 16, 2016
Discussion open until: Jul 16, 2016
Published in print: Aug 1, 2016

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Authors

Affiliations

Higinio González-Jorge [email protected]
Associate Professor, Dept. of Natural Resources and Environmental Engineering, School of Mining Engineering, Campus Lagoas s/n, 36310 Vigo, Spain (corresponding author). E-mail: [email protected]
Joaquín Martínez Sánchez [email protected]
Posdoctoral Fellow, Dept. of Natural Resources and Environmental Engineering, School of Mining Engineering, Campus Lagoas s/n, 36310 Vigo, Spain. E-mail: [email protected]
Lucía Díaz-Vilariño [email protected]
Posdoctoral Fellow, Dept. of Natural Resources and Environmental Engineering, School of Mining Engineering, Campus Lagoas s/n, 36310 Vigo, Spain. E-mail: [email protected]
Iván Puente [email protected]
Assistant Professor, Defense Univ. Center at the Naval Academy, Plaza de España, 36920 Marín, Spain. E-mail: [email protected]
Pedro Arias [email protected]
Associate Professor, Dept. of Natural Resources and Environmental Engineering, School of Mining Engineering, Campus Lagoas s/n, 36310 Vigo, Spain. E-mail: [email protected]

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