基于视觉与建模的乘员姿态识别及损伤研究OA

Road traffic safety is a critical global public safety issue,and driver postures have a significant impact on crash injuries.Therefore this study proposes a driver posture recognition and reconstruction method that integrates visual perception and simulation modeling.Specifically,in-vehicle cameras are used to capture occupant images,after which the OpenPose model extracts posture information and converts it into joint angles.These angles then drive the Madymo multi-body model to conduct frontal crash simulations and obtain injury data.The results show that the recognition confidence for three posture types(normal driving,forward-leaning,and reclined)exceeds 0.8,and significant differences are observed in the 15-ms head injury criterion(HIC15)and chest compression values.This study provides theoretical and technical support for the future integration of driver monitoring and active safety technologies.