空地融合的城市道路基础设施数字化技术研究

Research on the Digitalization Technology of Urban Road Infrastructure Based on the Integration of Air and Ground

摘要:

城市道路基础设施三维模型的重构,在城市道路BIM应用与数字化领域具有重大意义。针对城市交通基础设施数字化重构的需求,对车载激光扫描与无人机倾斜摄影采集技术进行综合运用,提出一套从信息采集、空地点云配准、点云分割到三维重构的完整技术方法。首先使用车载激光扫描技术和无人机倾斜摄影技术对交通基础设施信息进行采集,并使用运动恢复结构算法(Structure from Motion,SfM)生成基础设施空地点云。其次使用迭代最近点法(Iterative Closest Point,ICP)对空地点云进行精配准,然后利用基于PointNet网络的方法对融合点云进行语义分割。最后对分割出的交通基础设施对象进行三维重构。提出的空地融合的城市交通基础设施数字化技术能够高效地实现交通基础设施重构,为城市交通基础设施数字化提供基础、为后续交通专业领域的应用研究提供便利。

Abstract:

The reconstruction of three-dimensional (3D) model of urban road infrastructure is of great significance in the field of building information modeling (BIM) application and digitization of urban road. In order to meet the needs of digital reconstruction of urban transportation infrastructure, this paper makes a comprehensive application of vehicle-mounted laser scanning and UAV tilt photography technology, and proposes the methods for information collection, multi-source point cloud registration, point cloud segmentation and 3D reconstruction. Firstly, vehicle-mounted laser scanning technology and UAV tilt photography technology were used to collect traffic infrastructure information, and the structure from motion (SfM) algorithm was used to generate the point cloud of infrastructure. Secondly the iterative closest point (ICP) algorithm was used for multi-source point cloud registration, and the method based on PointNet network was used for point cloud segmentation. Finally, the 3D model of urban road infrastructure was reconstructed. The proposed methods can efficiently reconstruct the 3D model of urban road infrastructure, which provide the foundation for the digitalization of urban transportation infrastructure, and facilitate the application research in the subsequent transportation professional field.