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Testing the Accuracy of the Modified ICP Algorithm with Multimodal Weighting Factors

Author

Listed:
  • Łukasz Marchel

    (Department of Navigation and Naval Weapons, Gdynia, Polish Naval Academy, 81-103 Gdynia, Poland
    These authors contributed equally to this work.)

  • Cezary Specht

    (Department of Geodesy and Oceanography, Gdynia Maritime University, 81-225 Gdynia, Poland
    These authors contributed equally to this work.)

  • Mariusz Specht

    (Department of Transport and Logistics, Gdynia Maritime University, 81-225 Gdynia, Poland
    These authors contributed equally to this work.)

Abstract

SLAM technology is increasingly used to self-locate mobile robots in an unknown environment. One of the methods used in this technology is called scan matching. Increasing evidence is placed on the accuracy and speed of the methods used in terms of navigating mobile robots. The aim of this article is to present a modification to the standard method of Iterative Closest Point (ICP) environment scan matching using the authors’ three original weighting factors based on the error modeling. The presented modification was supported by a simulation study whose aim was not exclusively to check the effect of the factors but also to examine the effect of the number of points in scans on the correct and accurate development of the rotation matrix and the translation vector. The study demonstrated both an increase in the accuracy of ICP results following the implementation of the proposed modification and a noticeable increase in accuracy with an increase in the mapping device’s angular resolution. The proposed method has a positive impact on reducing number of iteration and computing time. The research results have shown to be promising and will be extended to 3D space in the future.

Suggested Citation

  • Łukasz Marchel & Cezary Specht & Mariusz Specht, 2020. "Testing the Accuracy of the Modified ICP Algorithm with Multimodal Weighting Factors," Energies, MDPI, vol. 13(22), pages 1-17, November.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:22:p:5939-:d:444883
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    References listed on IDEAS

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    1. Shaoyi Du & Yiting Xu & Teng Wan & Huaizhong Hu & Sirui Zhang & Guanglin Xu & Xuetao Zhang, 2017. "Robust iterative closest point algorithm based on global reference point for rotation invariant registration," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-14, November.
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    Cited by:

    1. Andrea Cassoni & Luigi Manganiello & Giorgio Barbera & Paolo Priore & Maria Teresa Fadda & Resi Pucci & Valentino Valentini, 2022. "Three-Dimensional Comparison of the Maxillary Surfaces through ICP-Type Algorithm: Accuracy Evaluation of CAD/CAM Technologies in Orthognathic Surgery," IJERPH, MDPI, vol. 19(18), pages 1-10, September.
    2. Xinzhao Wu & Peiqing Li & Qipeng Li & Zhuoran Li, 2023. "Two-Dimensional-Simultaneous Localisation and Mapping Study Based on Factor Graph Elimination Optimisation," Sustainability, MDPI, vol. 15(2), pages 1-20, January.

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