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Poster Session I : Next Generation Computing Applications I

Road-Ahead Abnormality Detection

원문정보

Ulziitogtokh Dorjnamjil, Hoon Choi

한국차세대컴퓨팅학회 한국차세대컴퓨팅학회 학술대회 The 10th International Conference on Next Generation Computing 2024 2024.11 pp.73-77
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초록

영어

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

키워드

저자정보

  • Ulziitogtokh Dorjnamjil Department of Computer Engineering , Chungnam National University, Daejeon, South Korea
  • Hoon Choi Department of Artificial Intelligence, Chungnam National University, Daejeon, South Korea

참고문헌

자료제공 : 네이버학술정보

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