Study on Highly Accurate Image Navigation Combining Inertial Navigation System with Features Matching by Kalman Filter

DOI

抄録

Conventional space probes use onboard INS (Inertial Navigation System) such as accelerometers and positioning systems named GNC (Guidance Navigation Control) to estimate their self-position. Because the sensors have some degree of error, and the error accumulates each time the self-position is updated, so a positioning system is needed to correct the self-position. Therefore, the self-position detection is realized by a feature point matching between the images taken by space probe and map image obtained through prior exploration. However, if the map image is large, the processing time required for matching will be large. In this study, we consider an image navigation system that combines INS with image-based self-position estimation using the Kalman filter to reduce the range of map images to be matched.

収録刊行物

  • IEICE Proceeding Series

    IEICE Proceeding Series 76 64-67, 2023-09-21

    The Institute of Electronics, Information and Communication Engineers

キーワード

詳細情報 詳細情報について

  • CRID
    1390860797238031488
  • DOI
    10.34385/proc.76.a2l-42
  • ISSN
    21885079
  • 本文言語コード
    en
  • データソース種別
    • JaLC
  • 抄録ライセンスフラグ
    使用不可

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