Three-dimensional automated road modeling method for high-precision vector data

doi:10.13474/j.cnki.11-2246.2021.0211

Abstract

Abstract: In order to solve the problems of slow road manual 3D modeling and heavy workload, this paper focuses on standardized processing of high-precision vector data, carries out refined design for different intersections, and automatically generates road 3D models. First, this paper uses road high-precision three-dimensional information acquisition software to semi-automatically extract accurate road edges, road markings and other vector information from the acquired point cloud data. Then, it carries out refined linear design for different intersections, and proposes continuous quadrilateral reconstruction methods and curves smoothing processing method, intersection reconstruction method and road marking reconstruction method. Finally, the extracted high-precision vector data is standardized. After meeting the road alignment design requirements, MAXScript is used to realize the road 3D automatic modeling. Taking the point cloud data of a certain section of the road obtained by the vehicle-mounted mobile measurement system as an example, the experiment verifies the feasibility and effectiveness of the method.

Key words: model and design, three-dimensional automated road modeling, road alignment design, high-precision vector data, vehicle-mounted laser point cloud

CLC Number:

P237

LI Xiaoli, LIU Rufei, TANG Yubing, REN Hongwei, CHAI Yongning. Three-dimensional automated road modeling method for high-precision vector data[J]. Bulletin of Surveying and Mapping, 2021, 0(7): 70-73.

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