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Title	Road Boundary Extraction Method From Mobile Laser Scanning Point Clouds
ID_Doc	46720
Authors	Xin G.; Cong B.; Liu R.; Zhang Z.; Liu M.
Year	2025
Published	Measurement Science and Technology, 36, 1
DOI	http://dx.doi.org/10.1088/1361-6501/ad89ec
Abstract	With the rapid development of mobile laser scanning (MLS) technology, high-precision three-dimensional (3D) point cloud data has shown great potential in different fields such as topographic mapping, road asset management and smart city construction. 3D point cloud data contains not only position information, but also the shape and attributes of the target, which is very convenient for obtaining road information. Accurate extraction of the road boundary is a basic task for obtaining road infrastructural data, which can support the generation of high-precision maps, vehicle navigation and autonomous driving. However, road boundary extraction in urban environments is easily occluded such as vehicles and pedestrians on the road, which leads to problems such as difficulty and incomplete extraction of MLS point cloud road boundaries. To address this problem, this study proposes a road boundary extraction method that integrates pavement edge information, accurately considers the position of the road boundary from two dimensions, eliminates false boundaries, and completes the missing boundary through the extracted boundary spatial relationship. First, grid elevation filtering is used to remove high-level non-ground points. Then the pavement edges and curb stone points are extracted from the preprocessed point cloud, and they are superimposed to remove false boundary points to obtain accurate road boundaries. Finally, based on the spatial relationship of road boundaries, missing parts are detected and repaired to obtain complete road boundaries. Experimental results show that the accuracy on real road scenes exceeds 98%, the completeness rate is above 91%, and the extraction quality is above 90%, which verifies the effectiveness and accuracy of this method. © 2024 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Author Keywords	mobile laser scanning; overlay fusion; pavement edges; road boundary; topology

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