引導フィルタで改良されたブロックマッチングアルゴリズムに基づいて車載ステレオカメラによる道路障害物の検出  [in Japanese] Real-time Obstacle detection system by using stereo vision and block matching algorithm base on guided image filtering forAutonomous driving  [in Japanese]

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Abstract

<p>本研究では、霧の時に、車載ステレオカメラでリアルタイムに障害物認識する効果向上のために、霧の写真特徴を分析し、アルゴリズムを提出しました。引導フィルタの原理を説明し、引導フィルタとブロックマッチングと組み合わせ、認識向上の結果を分析しました。そして、霧の天気状況に対応するため、フィルタパラメーターの設定と霧削除の効果の関係を分析しました。</p>

<p>This paper describes a system of obstacle detection used by improved block matching by Guided image filtering based on in-vehicle stereo camera.This obstacle detection system can be used to finding car and person and other things on road aromatically.Thereby, it provide a method for autonomous driving which applicable to the Eco-drive automation.In addition,it can solve the problem of the traffic accident and energy crisis.In the paper,guided image filtering be used to the real-time obstacle detection system for getting the better result in fog application.This system can transform the data of obstacle to the car controller in real-time and the controller can do something to avoid the traffic accident.This paper also describes the experiment and the result in the driving school.</p>

Journal

  • Proceedings of the Japan Joint Automatic Control Conference

    Proceedings of the Japan Joint Automatic Control Conference 59(0), 18-23, 2016

    The Japan Joint Automatic Control Conference

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