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Drone Flight Control Using Object Detection and Tracking

  • 간행물
    한국차세대컴퓨팅학회 학술대회 바로가기
  • 권호(발행년)
    The 8th International Conference on Next Generation Computing 2022 (2022.10) 바로가기
  • 페이지
    pp.325-326
  • 저자
    Jun-Yon Kim, Ranjai Baidya, Heon Jeong
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A419814

원문정보

초록

영어
The usage of Unmanned Aerial Vehicles (UAVs) has escalated widely in recent years. The mobility they provide and their capability to be used autonomously has made them applicable to a wide range of fields for both the civilians and the military. However, the flight safety is pivotal during UAV flights for any application and it is necessary that the recently ordained rules are complied with. Ensuring the compliance of such rules and regulations is especially difficult when using these UAVs are used in Autonomous mode. To establish the flight safety and compliance with the regulations, computer vision can be utilized while in autonomous mode. This is predominantly true when the flight is conducted in the proximity of crowds, animals, moving vehicles or when emergency and precision landings need to be performed. To that extent, we present a concept of drone flight control system which utilizes object detection and tracking algorithms.

목차

Abstract
I. INTRODUCTION
II. RELATED WORKS
III. METHODS
A. Device Setup
IV. METHOD
V. CONCLUSION
REFERENCES

저자

  • Jun-Yon Kim [ Research Director, Kpro System Namyangju, S. Korea ]
  • Ranjai Baidya [ Researcher, Kpro System Namyangju, S. Korea ]
  • Heon Jeong [ Department of Fire Service Chodang University Mu-An, Korea ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      한국차세대컴퓨팅학회 학술대회
    • 간기
      반년간
    • 수록기간
      2021~2025
    • 십진분류
      KDC 566 DDC 004