エッジ画像の濃度投影による車両の一捕捉手法 An Approach to the Vehicle Tracking Method using Intensity Projection of the Edge Image

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This paper describes the preceding vehicle recognition and road-lane recognition methods for the rear-end collision avoidance system (RCAS) which we are developing. These methods are using an edge histogram method based on modelbased vision. The edge histogram method can detect line elements of the objects stably with low calculation cost. When the region of interests for the preceding vehicle and road lanes in the image are established and their projected edge histograms are observed in time series order, we can recognize the positions of the vehicle and the lane. Furthermore, we apply Kalman Filter to their motions and predict their locations for time series detection. Using this stable recognition, we derive a collision time to control the on-board brake system. We show the performance of these methods by experimental results

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  • 電気学会論文誌. E, センサ・マイクロマシン準部門誌 = The transactions of the Institute of Electrical Engineers of Japan. A publication of Sensors and Micromachines Society  

    電気学会論文誌. E, センサ・マイクロマシン準部門誌 = The transactions of the Institute of Electrical Engineers of Japan. A publication of Sensors and Micromachines Society 118(6), 327-332, 1998-06-01 

    The Institute of Electrical Engineers of Japan

参考文献:  14件

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被引用文献:  7件

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各種コード

  • NII論文ID(NAID)
    10004833568
  • NII書誌ID(NCID)
    AN1052634X
  • 本文言語コード
    JPN
  • 資料種別
    ART
  • ISSN
    13418939
  • NDL 記事登録ID
    4474905
  • NDL 雑誌分類
    ZN31(科学技術--電気工学・電気機械工業)
  • NDL 請求記号
    Z16-B380
  • データ提供元
    CJP書誌  CJP引用  NDL  J-STAGE 
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