B202 High Speed Traversability Mapping Using Stereo Vision

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  • NAGATA Yuya
    Meiji University, Department of Mechanical Engineering
  • KURODA Yoji
    Meiji University, Department of Mechanical Engineering

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Other Title
  • B202 ステレオカメラを用いた高速走破性解析地図(OS13 月・惑星探査ロボットの運動と制御4)

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This paper describes a traversability map construction for autonomous mobile robots. To represent a terrain, a plane is estimated in each grid from point cloud data using RANSAC algorithm. Traversability is analyzed from height, slope and roughness of the plane. Point cloud data becomes sparse in proportion to distance from stereo camera. Thus, point cloud sampling areas are expanded using stereo vision error model. Finally, we have run our rover testbed "Micro6" in Ura-Sabaku desert of Izu-Oshima island, and experimental results were shown that a proposed method validities.

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