A system that recognizes unusual situations on the road in real-time and alerts them to the nearby vehicles helps ensure smooth and safe driving. In this paper we propose a method to accurately recognize abnormal road situations by combining object detection with hard negative mining and image classification based on YOLOV8 model. By combining object detection and image classification models, we gain the advantage of not only detecting abnormal road situations but also understanding their scale.
목차
Abstract I. INTRODUCTION II. BACKGROUND A. Image classification B. Object detection C. Hard negative mining III. APPROACH A. Dataset preparation B. Model training C. Result IV. CONCLUSION AND FUTUREWORK ACKNOWLEDGMENT REFERENCES
저자
Ulziitogtokh Dorjnamjil [ Department of Computer Engineering , Chungnam National University, Daejeon, South Korea ]
Hoon Choi [ Department of Artificial Intelligence, Chungnam National University, Daejeon, South Korea ]