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Real-Time Analysis of Occupant Motion for Vehicle Simulator

차량 시뮬레이터 접목을 위한 실시간 인체거동 해석기법

  • Oh, Kwangseok (Dept.of Mechanical Design Engineering, Busan National University) ;
  • Son, Kwon (Busan National University) ;
  • Choi, Kyunghyun
  • 오광석 (부산대학교 기계설계공학과) ;
  • 손권 (부산대학교 기계공학부) ;
  • 최경현 (제주대학교 생산에너지공학부)
  • Published : 2002.05.01

Abstract

Visual effects are important cues for providing occupants with virtual reality in a vehicle simulator which imitates real driving. The viewpoint of an occupant is sensitively dependent upon the occupant's posture, therefore, the total human body motion must be considered in a graphic simulator. A real-time simulation is required for the dynamic analysis of complex human body motion. This study attempts to apply a neural network to the motion analysis in various driving situations. A full car of medium-sized vehicles was selected and modeled, and then analyzed using ADAMS in such driving conditions as bump-pass and lane-change for acquiring the accelerations of chassis of the vehicle model. A hybrid III 50%ile adult male dummy model was selected and modeled in an ellipsoid model. Multibody system analysis software, MADYMO, was used in the motion analysis of an occupant model in the seated position under the acceleration field of the vehicle model. Acceleration data of the head were collected as inputs to the viewpoint movement. Based on these data, a back-propagation neural network was composed to perform the real-time analysis of occupant motions under specified driving conditions and validated output of the composed neural network with MADYMO result in arbitrary driving scenario.

Keywords

Vehicle Simulator;Real-Time Simulation;Occupant Motion;Back-Propagation Neural Network

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