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NTIS 바로가기한국측량학회지 = Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, v.38 no.3, 2020년, pp.269 - 279
서홍덕 (Department of Spatial Information Engineering, Namseoul University) , 김의명 (Department of Spatial Information Engineering, Namseoul University)
Traffic estimation mainly involves surveying equipment such as automatic vehicle classification, vehicle detection system, toll collection system, and personnel surveys through CCTV (Closed Circuit TeleVision), but this requires a lot of manpower and cost. In this study, we proposed a method of esti...
핵심어 | 질문 | 논문에서 추출한 답변 |
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CCTV의 좌우 영상에서 차량을 각각 탐지하였을 때, 진단이나 예측의 정확도에 차이가 날 수 있는 이유는 무엇인가? | 그 다음으로 COCO 데이터셋을 학습한 YOLO V3를 이용 하여 CCTV의 좌우 영상에서 차량을 각각 탐지한다. 탐지된 좌우 영상은 영상의 특징이 다를 수 있기 때문에 진단이나 예측의 정확도에 차이가 날 수 있다(Park and Bae, 2019). 따라서, 좌우 영상에서 탐지한 차량의 개수가 완전히 동일하지 않을 수 있기 때문에 좌우 영상 간의 부등각사상변환 매개변수를 추정한 후, 좌우 영상에서 탐지된 차량의 좌표와 추정한 부등각사상변환 매개변수를 이용하여 각 영상에서 탐지하지 못한 차량을 탐지하여 좌우 영상의 차량 대수를 일치시킨 후 교통량을 계산한다. | |
COCO 데이터셋이란 무엇인가? | COCO 데이터셋은 마이크로소프트에서 객체 인식의 첨단화를 목표로 만든 딥러닝을 위한 데이터셋이다(Lin et al., 2014). | |
교통량 산정은 어떻게 수행되는가? | 국토교통부의 교통량정보제공시스템에 의하면 교통량 산정은 기본 교통량 자료가 필요하다고 판단되는 모든 구간에 대하여 광범위하게 실시하는 수시조사와 특정 지점에 자동 차종 분류 조사 장비를 설치하여 1년 365일 24시간 연속으로 통과 차량의 차종, 방향, 시간대별로 측정하는 상시조사를 수행한다(Traffic Monitoring System, 2018). |
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