DEVELOPMENT OF A NEW SLAM ALGORITHM DEVELOPMENT OF A NEW SLAM ALGORITHM

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Other Title
  • 差動二輪ロボットのためのSLAMアルゴリズム開発

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Description

In this paper, we describe the development of a new SLAM algorithm for differential drive robots using 3D LiDAR. Traditional SLAM scan matching often employs ICP (Iterative Closest Point) matching, which evaluates point-to-point correspondences, or NDT (Normal Distributions Transform) matching, which evaluates point-to-distribution correspondences. However, these methods require repetitive optimization, which can lead to local optima and fail to calculate the correct position and orientation (matching). Therefore, this paper proposes a new SLAM algorithm that leverages the characteristics of differential drive robots by limiting their movements to in-situ turning and straight-line movement. This approach eliminates the issues associated with ICP and NDT matching and treats the problem as a linear estimation issue, enabling fast and stable position and orientation estimation. The effectiveness of the proposed new SLAM algorithm for differential drive mobile robots is evaluated using a 3D robot simulator.

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Details 詳細情報について

  • CRID
    1390582462817899648
  • DOI
    10.15002/00030781
  • HANDLE
    10114/00030781
  • ISSN
    24368083
  • Text Lang
    ja
  • Article Type
    departmental bulletin paper
  • Data Source
    • JaLC
    • IRDB
  • Abstract License Flag
    Allowed

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