Automated Extraction of Urban Road Facilities Using Mobile Laser Scanning Data

作者：Yu, Yongtao^*; Li, Jonathan; Guan, Haiyan; Wang, Cheng

来源：IEEE Transactions on Intelligent Transportation Systems, 2015, 16(4): 2167-2181.

DOI：10.1109/TITS.2015.2399492

• Bus station
• light pole
• mobile laser scanning (MLS)
• road feature inventory
• traffic safety
• traffic signpost

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 F-1-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.

• 出版日期2015-8
• 单位厦门大学; 南京信息工程大学