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

A point cloud data and 3D reconstruction technology, applied in the field of vehicle LiDAR point cloud data processing, can solve the problems of low accuracy, slow speed, lack of realism, etc., and achieve the effect of accurate automatic registration

Inactive Publication Date: 2015-09-30
湖南桥康智能科技有限公司
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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 clou

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

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Embodiment Construction

[0062] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0063] see figure 1 , is an overall flowchart of an embodiment of a bridge three-dimensional reconstruction method based on vehicle-mounted LiDAR point cloud data provided by the present invention. The bridge three-dimensional reconstruction method 1 based on vehicle-mounted LiDAR point cloud data mainly serves bridge detection, and can provide a real-time real three-dimensional visualization model, including the following steps:

[0064] S1. Obtain vehicle-m...

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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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Application Information

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IPC IPC(8): G06T17/00G06T7/00
Inventor 姚剑陈梦怡万智谢仁平李礼
Owner 湖南桥康智能科技有限公司
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