Analysis of the Conditions for the Occurrence of Sudden Braking using Drive Recorder Videos

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  • ZHANG Hanwei
    九州大学大学院　システム情報科学府
  • MINE Tsunenori
    九州大学大学院　システム情報科学研究院
  • ONO Shintaro
    東京大学生産技術研究所　自動運転の車両運動制御寄付研究部門 東京大学生産技術研究所　次世代モビリティ研究センター（ITS センター） 福岡大学　工学部
  • KAWASAKI Hiroshi
    九州大学大学院　システム情報科学研究院

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Other Title
  • ドライブレコーダ映像を用いた急ブレーキ発生条件の分析
  • Analysis of the Conditions for the Occurrence of Sudden Braking using Drive Recorder Videos : Using the Distance between Vehicles Estimated by Deep Learning
  • – Using the Distance between Vehicles Estimated by Deep Learning –
  • －深層学習により推定した車間距離の活用－

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Description

<p>Detecting and predicting abnormal driving behaviors such as sudden braking counts for preventing traffic accidents. Keeping distances from other vehicles is considered one of the most common situations where sudden braking occurs. However, to detect distances, state-of-the-art 3D object detection usually requires advanced sensors such as LiDAR. In this work, we use a monocular visual odometry system to estimate distances between vehicles with only a common drive recorder. As a preparation for predicting sudden braking events, we train a mining model to detect them with the estimated distance information along with probe data. The experiments show that with the estimated distances, the model gains an improved performance on braking detection.</p>

Journal

  • SEISAN KENKYU

    SEISAN KENKYU 74 (1), 129-134, 2022-02-01

    Institute of Industrial Science The University of Tokyo

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