A Study of Weighted Average Method for Multi-sensor Data Fusion

DOI
  • Lu Peng
    Tianjin University of Science and Technology
  • Dai Fengzhi
    College of Electronic Information and Automation, Tianjin University of Science and Technology Tianjin Tianke Intelligent and Manufacture Technology CO., LTD.

Description

With the development of sensor technology, multi-sensor data fusion has become an important research direction in the field of sensors. Among them, parametric classification algorithms have become the most intensively studied class of algorithms in the field of multi-sensor data fusion, and the weighted average method is the most important one among the parametric classification algorithms. This paper describes the composition and development of parameter classification algorithms, focusing on the process, steps and recent developments of the weighted average method, and uses the algorithm to fuse data from ultrasonic and infrared sensors. The simulation results prove that the weighted average method has a better fusion effect.

Journal

Keywords

Details 詳細情報について

  • CRID
    1390010292574181888
  • DOI
    10.5954/icarob.2022.os3-3
  • ISSN
    21887829
  • Text Lang
    en
  • Data Source
    • JaLC
    • Crossref
  • Abstract License Flag
    Disallowed

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