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자율주행차량 운전자 모니터링에 대한 동향 및 시사점

Trends and Implications for Driver Status Monitoring in Autonomous Vehicles

  • 장미 (모빌리티UX연구실) ;
  • 강도욱 (모빌리티UX연구실) ;
  • 장은혜 (모빌리티UX연구실) ;
  • 김우진 (모빌리티UX연구실) ;
  • 윤대섭 (모빌리티UX연구실) ;
  • 최정단 (모빌리티로봇연구본부)
  • M. Chang ;
  • D.W. Kang ;
  • E.H. Jang ;
  • W.J. Kim ;
  • D.S. Yoon ;
  • J.D. Choi
  • 발행 : 2023.12.01

초록

Given recent accidents involving autonomous vehicles, driver monitoring technology related to the transition of control in autonomous vehicles is gaining prominence. Driver status monitoring systems recognize the driver's level of alertness and identify possible impairments in the driving ability owing to conditions including drowsiness and distraction. In autonomous vehicles, predictive factors for the transition to manual driving should also be included. During traditional human driving, monitoring the driver's status is relatively straightforward owing to the consistency of crucial cues, such as the driver's location, head orientation, gaze direction, and hand placement. However, monitoring becomes more challenging during autonomous driving because of the absence of direct manual control and the driver's engagement in other activities, which may obscure the accurate assessment of the driver's readiness to intervene. Hence, safety-ensuring technology must be balanced with user experience in autonomous driving. We explore relevant global and domestic regulations, the new car assessment program, and related standards to extract requirements for driver status monitoring. This kind of monitoring can both enhance the autonomous driving performance and contribute to the overall safety of autonomous vehicles on the road.

키워드

과제정보

본 연구는 산업통상자원부/한국산업기술평가관리원의 지원으로 수행되었음(No. 20024892, 운전자 신체적·인지적 상태 판단 이종센서융합 모듈 및 통합시스템 개발).

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