Author： Lehtomäki Matti Jaakkola Anttoni Hyyppä Juha Kukko Antero Kaartinen Harri
Publisher： MDPI
E-ISSN： 2072-4292|2|3|641-664
ISSN： 2072-4292
Source： Remote Sensing, Vol.2, Iss.3, 2010-02, pp. : 641-664
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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%.
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