Journal of the Korea Safety Management & Science (대한안전경영과학회지)

Korea Safety Management & Science (대한안전경영과학회)
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A Review of AI-based Automobile Accident Prevention Systems

인공지능 기반의 자동차사고 감지 시스템 적용 사례 분석

  • Choi, Jae Gyeong (School of Management Engineering, Ulsan National Institute of Science and Technology) ;
  • Kong, Chan Woo (School of Management Engineering, Ulsan National Institute of Science and Technology) ;
  • Lim, Sunghoon (School of Management Engineering, Ulsan National Institute of Science and Technology)
  • 최재경 (울산과학기술원 경영공학부) ;
  • 공찬우 (울산과학기술원 경영공학부) ;
  • 임성훈 (울산과학기술원 경영공학부)
  • Received : 2020.02.15
  • Accepted : 2020.03.23
  • Published : 2020.03.31
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Abstract

Artificial intelligence (AI) has been applied to most industries by enhancing automation and contributing greatly to efficient processes and high-quality production. This research analyzes the applications of AI-based automobile accident prevention systems. It deals with AI-based collision prevention systems that learn information from various sensors attached to cars and AI-based accident detection systems that automatically report accidents to the control center in the event of a collision. Based on the literature review, technological and institutional changes are taking place at the national levels, which recognize the effectiveness of the systems. In addition, start-ups at home and abroad as well as major car manufacturers are in the process of commercializing auto parts equipped with AI-based collision prevention technology.

Keywords

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