Three-dimensional bridge reconstruction method based on vehicle-mounted LiDAR point cloud data

Abstract

The invention provides a three-dimensional bridge reconstruction method based on vehicle-mounted LiDAR point cloud data. The three-dimensional bridge reconstruction method based on the vehicle-mounted LiDAR point cloud data can be used for visualizing an acquired three-dimensional point cloud data implementing three-dimensional model on the bottom of a bridge and comprises the following steps of (1) acquiring the vehicle-mounted LiDAR point cloud data; (2) uniformly diluting the point cloud data so as to reduce data volume; (3) calculating a normal vector, curvature and density of the point cloud data and filtering out noises; (4) registering the point cloud data and diluting the point cloud data; (5) extracting surface plates of the bridge, restraining the surface plates according to priori knowledge and establishing a TIN model; (6) performing TIN model and texture image mapping; and (7) visualizing the three-dimensional model. By the three-dimensional bridge reconstruction method based on the vehicle-mounted LiDAR point cloud data, the surface plates of the bridge can be matched, incomplete data are supplemented, thick scanning data are effectively combined to thin scanning data, and the three-dimensional model of the bridge is established quickly and precisely in real time.

Description

technical field [0001] The present invention relates to the technical field of vehicle-mounted LiDAR point cloud data processing, in particular, to a bridge three-dimensional reconstruction method based on vehicle-mounted LiDAR point cloud data. Background technique [0002] At present, the manual detection method for cracks at the bottom of the bridge is high in cost, low in accuracy, and low in safety, which makes the research on intelligent detection methods imminent. The most critical part is to realize accurate 3D visualization of the bridge bottom, because the traditional 3D modeling It is an information modeling based on pictures, which is slow, inaccurate, and lacks a sense of reality. In recent years, 3D modeling based on vehicle-mounted laser scanning technology (Light Detection and Ranging, LiDAR) has become a research hotspot, showing great prospects. This technology not only has the characteristics of fast, real-time, high density and high precision, but also ca...

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Problems solved by technology

[0004] In order to solve the technical problems of slow speed, low accuracy and lack of realism of the bridge 3D reconstruction method based on vehicle-mounted LiDAR point cloud data, the present invention provides a fast, real-time, high-precision bridge 3D reconstruction method based on vehicle-mounted LiDAR point cloud data. reconstruction method

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