- 영문명
- Development of Real-time Traffic Information Generation Technology Using Traffic Infrastructure Sensor Fusion Technology
- 발행기관
- 한국IT서비스학회
- 저자명
- 김성진 한수호 김기환 김정래
- 간행물 정보
- 『한국IT서비스학회지』제22권 제2호, 57~70쪽, 전체 14쪽
- 주제분류
- 경제경영 > 경영학
- 파일형태
- 발행일자
- 2023.04.30

국문 초록
영문 초록
In order to establish an autonomous driving environment, it is necessary to study traffic safety and demand prediction by analyzing information generated from the transportation infrastructure beyond relying on sensors by the vehicle itself. In this paper, we propose a real-time traffic information generation method using sensor convergence technology of transportation infrastructure. The proposed method uses sensors such as cameras and radars installed in the transportation infrastructure to generate information such as crosswalk pedestrian presence or absence, crosswalk pause judgment, distance to stop line, queue, head distance, and car distance according to each characteristic. create information An experiment was conducted by comparing the proposed method with the drone measurement result by establishing a demonstration environment. As a result of the experiment, it was confirmed that it was possible to recognize pedestrians at crosswalks and the judgment of a pause in front of a crosswalk, and most data such as distance to the stop line and queues showed more than 95% accuracy, so it was judged to be usable.
목차
1. 서론
2. 관련 이론 및 연구 고찰
3. 교통인프라 센서 기반 교통정보 생성
4. 현장 실험 및 평가
5. 결론
참고문헌
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