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Sensors 2008, 8(9), 5238-5249; doi:10.3390/s8095238
Article

Retrieval Algorithms for Road Surface Modelling Using Laser-Based Mobile Mapping

1,* , 1
, 2
 and 1
Received: 11 July 2008; in revised form: 26 August 2008 / Accepted: 27 August 2008 / Published: 1 September 2008
(This article belongs to the Special Issue LiDAR for 3D City Modeling)
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Abstract: Automated processing of the data provided by a laser-based mobile mapping system will be a necessity due to the huge amount of data produced. In the future, vehiclebased laser scanning, here called mobile mapping, should see considerable use for road environment modelling. Since the geometry of the scanning and point density is different from airborne laser scanning, new algorithms are needed for information extraction. In this paper, we propose automatic methods for classifying the road marking and kerbstone points and modelling the road surface as a triangulated irregular network. On the basis of experimental tests, the mean classification accuracies obtained using automatic method for lines, zebra crossings and kerbstones were 80.6%, 92.3% and 79.7%, respectively.
Keywords: Mobile mapping; road surface; kerbstone; modelling; laser scanning Mobile mapping; road surface; kerbstone; modelling; laser scanning
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Jaakkola, A.; Hyyppä, J.; Hyyppä, H.; Kukko, A. Retrieval Algorithms for Road Surface Modelling Using Laser-Based Mobile Mapping. Sensors 2008, 8, 5238-5249.

AMA Style

Jaakkola A, Hyyppä J, Hyyppä H, Kukko A. Retrieval Algorithms for Road Surface Modelling Using Laser-Based Mobile Mapping. Sensors. 2008; 8(9):5238-5249.

Chicago/Turabian Style

Jaakkola, Anttoni; Hyyppä, Juha; Hyyppä, Hannu; Kukko, Antero. 2008. "Retrieval Algorithms for Road Surface Modelling Using Laser-Based Mobile Mapping." Sensors 8, no. 9: 5238-5249.



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