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YOLOv3를 이용한 Jetson Nano 기반의 도로 반사경 시스템
오종민,차도엽,안서연,박범용 제어로봇시스템학회 2021 제어로봇시스템학회 국내학술대회 논문집 Vol.2021 No.6
According to statistics for the last three years, the mortality rate on curved roads is higher than on straight roads. To prevent accidents on the curved roads, reflection mirrors for roads are used. This paper proposes Jetson Nano-based reflection mirror system for road using the YOLOv3 model to overcome the functional limitations of reflection mirrors for the road. The real-time image captured by a webcam installed at the intersection is inferred by the YOLOv3 model, and if the object is a car or a pedestrian, the OLED display is displayed images that representing the object. In order to evaluate the proposed system, we measure the recognition rate of the real-time image being filmed with the webcam. The experimental result shows that the recognition rate is 100%.