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Remote Sensing and Scene Reconstruction of Traffic Accident Based on Unmanned Aerial Vehicle Platform

机译:基于无人机平台的交通事故遥感与场景重构

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摘要

An unmanned aerial vehicle (UAV) is introduced to monitor the traffic accident site for traffic accident scene reconstruction. First, the UAV is used to obtain the sequential images of the traffic accident site. Based on these images, the structure-from-motion algorithm is implemented to present a 3D sparse point cloud model, and the multi-view stereo algorithm is conducted to generate a 3D dense point cloud model. Next, the meshing and texturing operations proceed to optimize the point cloud model, and the digital surface model and digital elevation model of accident scene are provided. An investigation experiment is conducted for accident scene reconstruction. In addition, two evaluation indicators are adopted to assess the quality of the accident scene reconstruction. Six referential objects are selected to measure the reconstruction accuracy. The results of the experiment demonstrate that the proposed method is appropriate for accident investigation and reconstruction.
机译:引入无人飞行器(UAV)来监视交通事故现场,以重建交通事故现场。首先,无人机用于获取交通事故现场的连续图像。基于这些图像,实现从运动结构算法来呈现3D稀疏点云模型,并执行多视图立体算法以生成3D密集点云模型。接下来,进行网格化和纹理化操作以优化点云模型,并提供事故现场的数字表面模型和数字高程模型。进行了事故现场重建的调查实验。此外,采用了两个评估指标来评估事故现场重建的质量。选择六个参照物以测量重建精度。实验结果表明,该方法适用于事故调查和重建。

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