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为查明航空事故的原因,需拼接重建飞机残骸。提出一种用激光雷达(LIDAR)采集飞机残骸点云数据的方案,并构建残骸拼接模型。在实际操作中,对机身残骸采用改进的迭代就近点(ICP)拼接算法进行精确处理;对零散残骸采用选取同名点拼接算法进行处理。试验结果显示,使用该模型和改进迭代就近点拼接算法处理采集的多站数据,能够实现飞机残骸的拼接重建,同时将拼接精度提高3倍。研究结果表明,与物理拼接相比,采用LIDAR点云的飞机残骸拼接重建,可以缩短事故调查的周期。
In order to find out the cause of the aviation accident, it is necessary to spliced and reconstruct the wreckage of the aircraft. A scheme of collecting point cloud data of aircraft debris by LIDAR was proposed and a model of debris splice was constructed. In practice, an improved Iterative Near Point (ICP) stitching algorithm is used to deal with the body wreckage accurately; the scattered wreckage is selected using the same name stitching algorithm. The experimental results show that using this model and the improved iterative near-point stitching algorithm to process the collected multi-station data can reconstruct the wreckage of aircraft and improve the splicing accuracy by 3 times. The results show that, compared with the physical splicing, the reconstructed aircraft wreckage using LIDAR point cloud can shorten the period of accident investigation.