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학술대회 Multi-Log Analysis of Vehicle Accidents for Public Safety Services
Cited 4 time in scopus Download 4 time Share share facebook twitter linkedin kakaostory
저자
박현호, 권은정, 변성원, 정의석, 이용태, 김기용
발행일
201810
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2018, pp.1040-1042
DOI
https://dx.doi.org/10.1109/ICTC.2018.8539448
협약과제
18HR1800, 다중로그 기반 멀티모달 데이터융합 분석 및 상황 대응 플랫폼 기술 개발, 이용태
초록
In recent days, technologies for detecting vehicle accidents (e.g., vehicle collision and drowsy driving) attract public attention for supporting public safety. This paper proposes multi-log analysis of vehicle accidents (MAVA) for public safety services. The MAVA is the technology for detecting and predicting vehicle accidents based on sensor data, image data, investigation information, and public safety information. The MAVA also provides information for avoiding and preparing vehicle accidents. The MAVA can help to reduce victims of vehicle accidents.
KSP 제안 키워드
Drowsy driving, Image data, Public safety, Safety information, Vehicle accidents, Vehicle collision, log analysis, sensor data