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.

Abstract
1. 서 론
2. 조사방법
3. 인공지능 기술현황
    3.1 인공지능
    3.2 머신러닝(machine learning)
    3.3 딥러닝(deep learning)
4. 자동차사고 감지 시스템 적용 사례
    4.1 충돌방지 시스템
    4.2 차량 긴급구조체계 서비스
5. 결론
6. References

• 최재경(울산과학기술원 경영공학부) | Jae Gyeong Choi (School of Management Engineering, Ulsan National Institute of Science and Technology)
• 공찬우(울산과학기술원 경영공학부) | Chan Woo Kong (School of Management Engineering, Ulsan National Institute of Science and Technology)
• 임성훈(울산과학기술원 경영공학부) | Sunghoon Lim (School of Management Engineering, Ulsan National Institute of Science and Technology) Corresponding Author