Detection of Vertical Pole-Like Objects in a Road Environment Using Vehicle-Based Laser Scanning Data

doi:10.3390/rs2030641

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Remote Sens. 2010, 2(3), 641-664; doi:10.3390/rs2030641

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Detection of Vertical Pole-Like Objects in a Road Environment Using Vehicle-Based Laser Scanning Data

Matti Lehtomäki * , Anttoni Jaakkola , Juha Hyyppä , Antero Kukko and Harri Kaartinen

Finnish Geodetic Institute, Department of Remote Sensing and Photogrammetry, P.O. Box 15, 02431 Masala, Finland

* Author to whom correspondence should be addressed.

Received: 9 December 2009; in revised form: 9 January 2010 / Accepted: 8 February 2010 / Published: 26 February 2010

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Abstract: Accurate road environment information is needed in applications such as road maintenance and virtual 3D city modelling. Vehicle-based laser scanning (VLS) can produce dense point clouds from large areas efficiently from which the road and its environment can be modelled in detail. Pole-like objects such as traffic signs, lamp posts and tree trunks are an important part of road environments. An automatic method was developed for the extraction of pole-like objects from VLS data. The method was able to find 77.7% of the poles which were found by a manual investigation of the data. Correctness of the detection was 81.0%.

Keywords: mobile mapping; vehicle-based laser scanning; feature extraction; utility pole; traffic sign; tree trunk

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Cite This Article

MDPI and ACS Style

Lehtomäki, M.; Jaakkola, A.; Hyyppä, J.; Kukko, A.; Kaartinen, H. Detection of Vertical Pole-Like Objects in a Road Environment Using Vehicle-Based Laser Scanning Data. Remote Sens. 2010, 2, 641-664.

AMA Style

Lehtomäki M., Jaakkola A., Hyyppä J., Kukko A., Kaartinen H. Detection of Vertical Pole-Like Objects in a Road Environment Using Vehicle-Based Laser Scanning Data. Remote Sensing. 2010; 2(3):641-664.

Chicago/Turabian Style

Lehtomäki, Matti; Jaakkola, Anttoni; Hyyppä, Juha; Kukko, Antero; Kaartinen, Harri. 2010. "Detection of Vertical Pole-Like Objects in a Road Environment Using Vehicle-Based Laser Scanning Data." Remote Sens. 2, no. 3: 641-664.

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