Reconstruction of Vehicle-human Crash Accident and Injury Analysis Based on 3D Laser Scanning, Multi-rigid-body Reconstruction and Optimized Genetic Algorithm
10.3969/j.issn.1004-5619.2017.06.001
- VernacularTitle: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
- Author:
Jie SUN
1
;
Tao WANG
;
Zheng-Dong LI
;
Yu SHAO
;
Zhi-Yong ZHANG
;
Hao FENG
;
Dong-Hua ZOU
;
Yi-Jiu CHEN
Author Information
1. 复旦大学上海医学院法医学系
- Keywords:
forensic pathology;
biomechanics;
rigid multibody dynamics;
image processing;
computer-as-sisted;
accidents;
traffic;
genetic algorithm;
3D laser scanning technology
- From:
Journal of Forensic Medicine
2017;33(6):575-580,586
- CountryChina
- Language:Chinese
-
Abstract:
Objective To reconstruct a vehicle-bicycle-cyclist crash accident and analyse the injuries us-ing 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-ob-jective 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. Re-sults 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 ve-hicle 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 opti-mized genetic algorithm, which have application value in the identification of injury manner and analysis of death cause in traffic accidents.
