This article is
- freely available
Retrieval Algorithms for Road Surface Modelling Using Laser-Based Mobile Mapping
Finnish Geodetic Institute, Department of Remote Sensing and Photogrammetry, P.O. Box 15, 02431 Masala, Finland
Helsinki University of Technology, Institute of Photogrammetry and Remote Sensing, P.O. Box 1200, 02015 Espoo, Finland
* Author to whom correspondence should be addressed.
Received: 11 July 2008; in revised form: 26 August 2008 / Accepted: 27 August 2008 / Published: 1 September 2008
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
Article StatisticsClick here to load and display the download statistics.
Notes: Multiple requests from the same IP address are counted as one view.
Cite This Article
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.
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.
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.