法医学杂志

法医学杂志 ›› 2017, Vol. 33 ›› Issue (6): 575-580.DOI: 10.3969/j.issn.1004-5619.2017.06.001

• 论著 •    下一篇

基于3D激光扫描、多刚体重建和遗传算法优化的车-人碰撞事故再现模拟与损伤分析

孙杰1，2，王涛3，李正东2，邵煜2，张志勇2，冯浩2，邹冬华2，陈忆九2   

  1. （1. 复旦大学上海医学院法医学系，上海 200032； 2. 司法鉴定科学研究院 上海市法医学重点实验室 上海市司法鉴定专业技术服务平台，上海 200063； 3. 上海市公安局松江分局刑事科学技术研究所，上海 201600）
  • 发布日期:2017-12-25 出版日期:2017-12-28
  • 通讯作者: 邹冬华，男，硕士，副研究员，主要从事法医病理学损伤与生物力学研究；E-mail：zoudh@ssfjd.cn 陈忆九，男，研究员，博士研究生导师，主要从事法医病理学研究；E-mail：chenyj@ssfjd.cn
  • 作者简介:孙杰（1992—），男，硕士研究生，主要从事法医病理学损伤与生物力学研究；E-mail：sunjie504@hotmail.com
  • 基金资助:

    “十三五”国家重点研发计划资助项目（2016YFC0800 702）；国家自然科学基金资助项目（81571851，81401559）；上海市法医学重点实验室资助项目（17DZ2273200）；上海市司法鉴定专业技术服务平台资助项目（16DZ2290900）；上海市科委社会发展专项（14231202500）

Reconstruction of Vehicle-human Crash Accident and Injury Analysis Based on 3D Laser Scanning, Multi-rigid-body Reconstruction and Optimized Genetic Algorithm

SUN JIE1,2, WANG TAO3, LI ZHENG-DONG2, SHAO YU2, ZHANG ZHI-YONG2, FENG HAO2, ZOU DONG-HUA2, CHEN YI-JIU2   

  1. （1. Department of Forensic Medicine, Shanghai Medical College, Fudan University, Shanghai 200032, China; 2. Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China; 3. Institute of Criminal Science and Technology, Songjiang Branch of Shanghai Public Security Bureau, Shanghai 201600, China）
  • Online:2017-12-25 Published:2017-12-28

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摘要： 目的 利用3D激光扫描技术，结合多刚体动力学和遗传算法优化对一起汽车与自行车及其骑车人碰撞的交通事故进行再现模拟与损伤分析，为法医学死因鉴定提供生物力学依据。 方法 利用3D激光扫描技术对肇事汽车进行测量，根据测量数据建立人-自行车-汽车多刚体模型，并设置优化变量的取值范围，利用多目标遗传算法，带精英策略的快速非支配排序遗传算法求最优近似解，并与事故现场附近监控视频记录进行比较。 结果 事故车辆激光扫描重建结果良好，通过遗传算法优化收敛所获得的最优近似解中的假人、自行车、汽车的动力学行为与监控视频中所记录的三者动力学行为相符合，假人的损伤参数也与事故中骑车人的损伤情况及部位相一致。 结论 利用3D激光扫描技术，结合多刚体动力学和遗传算法优化可以对人-自行车-汽车碰撞前的运动状态、碰撞致伤过程进行重建，并对受害者的损伤进行力学分析，在交通事故受害人致伤方式鉴定及死因分析中具有应用价值。

关键词: 法医病理学；生物力学；多刚体动力学；图像处理, 计算机辅助；事故, 交通；遗传算法；3D激光扫描技术

Abstract: Abstract： Objective To reconstruct a vehicle-bicycle-cyclist crash accident and analyse the injuries using 3D laser scanning technology, multi-rigid-body dynamics and optimized genetic algorithm, and to provide biomechanical basis for the forensic identification of death cause. Methods The vehicle was measured by 3D laser scanning technology. The multi-rigid-body models of cyclist, bicycle and vehicle were developed based on the measurements. The value range of optimal variables was set. A multi-objective genetic algorithm and the nondominated sorting genetic algorithm were used to find the optimal solutions, which were compared to the record of the surveillance video around the accident scene. Results The reconstruction result of laser scanning on vehicle was satisfactory. In the optimal solutions found by optimization method of genetic algorithm, the dynamical behaviours of dummy, bicycle and vehicle corresponded to that recorded by the surveillance video. The injury parameters of dummy were consistent with the situation and position of the real injuries on the cyclist in accident. Conclusion The motion status before accident, damage process by crash and mechanical analysis on the injury of the victim can be reconstructed using 3D laser scanning technology, multi-rigid-body dynamics and optimized genetic algorithm, which have application value in the identification of injury manner and analysis of death cause in traffic accidents.

Key words: forensic pathology, biomechanics, rigid multibody dynamics, image processing, computer-assisted, accidents, traffic, genetic algorithm, 3D laser scanning technology

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