An Enhanced Data Fusion algorithm with Hybrid Models by using 2D/3D sensors

DOI

Bibliographic Information

Other Title
  • 2D/3Dセンサを用いたハイブリッドモデルによるエンハンスト型データ融合

Description

In tracking launched targets using 2D/3D sensors, two main issues are conceivable. One is to consider range estimation technique from 2D sensor measurements in using only 2D sensor measurements and data fusion method in using both 2D and 3D sensor measurements. And another is to take into account motion models for launched targets on several typical phases. In this presentation, we propose a new Enhacend Data Fusion algorithm with Hybrid Models (EDF-HM) for launched targets using 2D/3D sensor measurements. As the result of the computer simulations, we can confirm that the proposed algorithm EDF-HM achieves higher tracking performance than conventional algorithm.

Journal

Keywords

Details 詳細情報について

  • CRID
    1390001205646512768
  • NII Article ID
    130005025115
  • DOI
    10.11511/jacc.51.0.230.0
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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