• Title/Summary/Keyword: Fixhawk

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Verification of Entertainment Utilization of UAS FC Data Using Machine Learning (머신러닝 기법을 이용한 무인항공기의 FC 데이터의 엔터테인먼트 드론 활용 검증)

  • Lee, Jae-Yong;Lee, Kwang-Jae
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.4
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    • pp.349-357
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    • 2021
  • Recently, drones are rapidly becoming common and expanding. There is a great need for diversity in whether drone flight data can be used as entertainment technology analysis data. In particular, it is necessary to check whether it is possible to analyze and utilize the flight and operation process of entertainment drones, which are developing through autonomous and intelligent methods, through data analysis and machine learning. In this paper, it was confirmed whether it can be used as a machine learning technology by using FC data in the evaluation of drones for entertainment. As a result, FC data from DJI and Parrot such as Mavic2 and Anafi were unable to analyze machine learning for entertainment. It is because data is collected at intervals of 0.1 second or more, so that it is impossible to find correlation with other data with GCS. On the other hand, it was found that machine learning technologies can be applied in the case of Fixhawk, which used an ARM processor and operates with the Nuttx OS. In the future, it is necessary to develop technologies capable of analyzing the characteristics of entertainment by dividing fixed-wing and rotary-wing flight information. For this, a model shoud be developed, and systematic big data collection and research should be conducted.