꼬리표: Systems engineering and theory
지능형 교통 시스템을 위한 비디오 기반 자동 사고 감지: 실외 환경 문제
Video-based automatic incident detection (지원) systems are increasingly being used in intelligent transportation systems (그것의). Video-based AID is a promising method of incident detection. 하지만, the accuracy of video-based AID is heavily affected by environmental factors such as shadows, snow, rain, and glare. This paper presents a review of the different work done in the literature to detect outdoor environmental factors, 즉, static shadows, snow, rain, and glare. Once these environmental conditions are detected, they can be compensated for, and hence, the accuracy of alarms detected by video-based AID systems will be enhanced. Based on the presented review, this paper will highlight potential research directions to address gaps that currently exist in detecting outdoor environmental conditions. This will lead to an overall enhancement in the reliability of video-based AID systems and, hence, pave the road for more usage of these systems in the future. Last, this paper suggests new contributions in the form of new suggested algorithmic ideas to detect environmental factors that affect AID systems accuracy.
에 게시됨:
Intelligent Transportation Systems, IEEE 트랜잭션 (용량:9 , 문제: 2 )
- 페이지(에스):
- 349 – 360
- ISSN :
- 1524-9050
- INSPEC 등록 번호:
- 10034942
- DOI:
- 10.1109/TITS.2008.915644
- 발행일 :
- 6월 2008
- 현재 버전의 날짜 :
- 06 6월 2008
- 발행일 :
- 6월 2008
- 후원 :
- IEEE Intelligent Transportation Systems Society
- 발행자:
- IEEE
모하메드 셰하트, 준 카이, 무자밀 페르베즈, 타이슨 버, 와엘 바다위, 아마드 라드마네시, "지능형 교통 시스템을 위한 비디오 기반 자동 사고 감지: 실외 환경 문제", 지능형 교통 시스템에 대한 IEEE 거래, 용량: 9, 문제: 2, pp. 349-360, 6월 2008.
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