Automated Extraction of Urban Road Facilities Using Mobile Laser Scanning Data
- 24 February 2015
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Intelligent Transportation Systems
- Vol. 16 (4), 2167-2181
- https://doi.org/10.1109/tits.2015.2399492
Abstract
This paper proposes a novel, automated algorithm for rapidly extracting urban road facilities, including street light poles, traffic signposts, and bus stations, for transportation-related applications. A detailed description and implementation of the proposed algorithm is provided using mobile laser scanning data collected by a state-of-the-art RIEGL VMX-450 system. First, to reduce the quantity of data to be handled, a fast voxel-based upward growing method is developed to remove ground points. Then, off-ground points are clustered and segmented into individual objects via Euclidean distance clustering and voxel-based normalized cut segmentation, respectively. Finally, a 3-D object matching framework, benefiting from a locally affine-invariant geometric constraint, is developed to achieve the extraction of 3-D objects. Quantitative evaluations show that the proposed algorithm attains an average completeness, correctness, quality, and F1-measure of 0.949, 0.971, 0.922, and 0.960, respectively, in extracting 3-D light poles, traffic signposts, and bus stations. Comparative studies demonstrate the efficiency and feasibility of the proposed algorithm for automated and rapid extraction of urban road facilities.Keywords
Funding Information
- Natural Science Foundation of China (NSFC) (41471379)
- Natural Sciences and Engineering Research Council of Canada (NSERC) (111368)
This publication has 39 references indexed in Scilit:
- Assessment of stereo camera calibration techniques for a portable mobile mapping systemIET Computer Vision, 2013
- Bilateral Maps for Partial MatchingComputer Graphics Forum, 2013
- Recognizing basic structures from mobile laser scanning data for road inventory studiesISPRS Journal of Photogrammetry and Remote Sensing, 2011
- A Survey on Shape CorrespondenceComputer Graphics Forum, 2011
- Detection of Vertical Pole-Like Objects in a Road Environment Using Vehicle-Based Laser Scanning DataRemote Sensing, 2010
- Toward intelligent driver-assistance and safety warning systemIEEE Intelligent Systems, 2004
- A progressive morphological filter for removing nonground measurements from airborne LIDAR dataIEEE Transactions on Geoscience and Remote Sensing, 2003
- A search engine for 3D modelsACM Transactions on Graphics, 2003
- Coarse filters for shape matchingIEEE Computer Graphics and Applications, 2002
- Normalized cuts and image segmentationIEEE Transactions on Pattern Analysis and Machine Intelligence, 2000