Journal
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
Volume 79, Issue -, Pages 80-93Publisher
ELSEVIER
DOI: 10.1016/j.isprsjprs.2013.01.016
Keywords
Mobile laser scanning; Curb detection; 3D road extraction; Scanning lines; Moving windows filtering
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Funding
- National Basic Research Program of China [2012CB725301]
- NSFC [41071268]
- Fundamental Research Funds for the Central Universities [3103005]
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Accurate 3D road information is important for applications such as road maintenance and virtual 3D modeling. Mobile laser scanning (MLS) is an efficient technique for capturing dense point clouds that can be used to construct detailed road models for large areas. This paper presents a method for extracting and delineating roads from large-scale MLS point clouds. The proposed method partitions MLS point clouds into a set of consecutive scanning lines, which each consists of a road cross section. A moving window operator is used to filter out non-ground points line by line, and curb points are detected based on curb patterns. The detected curb points are tracked and refined so that they are both globally consistent and locally similar. To evaluate the validity of the proposed method, experiments were conducted using two types of street-scene point clouds captured by Optech's Lynx Mobile Mapper System. The completeness, correctness, and quality of the extracted roads are over 94.42%, 91.13%, and 913%, respectively, which proves the proposed method is a promising solution for extracting 3D roads from MLS point clouds. (C) 2013 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS) Published by Elsevier B.V. All rights reserved.
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