摘要
为实现交通事故中行人应急姿态的量化损伤评估,该文提出一种基于单目姿态估计的车前行人碰撞损伤评估方法。利用姿态估计算法,从单视角事故图像中提取姿态参数,并通过关节匹配将蒙皮多人线性(SMPL)模型映射至多刚体模型,实现应急姿态的快速重建;结合MADYMO仿真软件,对站立、前倾、下蹲和跑步避让4种典型姿态开展股骨损伤的碰撞仿真。结果表明:该方法在仿真精度上与人工建模一致,4类姿态下的AIS2+与AIS3+损伤风险概率平均差值分别低至-3.5%和-1.22%;该方法提升了姿态建模的自动化与复现性,可为车辆结构优化和行人保护设计提供定量化参考。
A monocular pose-estimation-based method for evaluating pedestrian collision injuries in front of a vehicle was proposed to enable quantitative injury assessment of pedestrian emergency postures in traffic accidents.Posture parameters were extracted from single-view accident images using a pose estimation algorithm,and a skinned multi-person linear(SMPL)model was mapped to a multi-body model through joint matching to achieve rapid reconstruction of emergency postures.Subsequently,collision simulations of femur injuries were conducted using MADYMO under four typical postures,including standing,leaning forward,squatting,and evasive running.The results demonstrate that the proposed method achieves simulation accuracy comparable to that of manual modeling,with the mean differences in AIS2+and AIS3+injury-risk probabilities across the four postures as low as -3.5% and-1.22%,respectively,indicating that the proposed method improves the automation and reproducibility of posture modeling,and can provide quantitative references for vehicle structural optimization and pedestrian protection design.
作者
王美军
孟宇
郑超
彭晓睿
许焱
WANG Meijun;MENG Yu;ZHENG Chao;PENG Xiaorui;XU Yan(School of Mechanical Engineering,University of Science and Technology Beijing,Beijing 100083,China)
出处
《汽车安全与节能学报》
北大核心
2026年第1期33-39,共7页
Journal of Automotive Safety and Energy
基金
国家重点研发计划项目资助项目(2018YFE0192900)。
