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Road-Ahead Abnormality Detection

  • 간행물
    한국차세대컴퓨팅학회 학술대회 바로가기
  • 권호(발행년)
    The 10th International Conference on Next Generation Computing 2024 (2024.11) 바로가기
  • 페이지
    pp.73-77
  • 저자
    Ulziitogtokh Dorjnamjil, Hoon Choi
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A468802

원문정보

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

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 ]

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      한국차세대컴퓨팅학회 학술대회
    • 간기
      반년간
    • 수록기간
      2021~2025
    • 십진분류
      KDC 566 DDC 004