skip to main content
10.1145/3650400.3650659acmotherconferencesArticle/Chapter ViewAbstractPublication PageseitceConference Proceedingsconference-collections
research-article

Design and implementation of UAV special flight task algorithm

Authors Info & Claims
Published:17 April 2024Publication History

ABSTRACT

To realize the UAV's automatic following of pedestrians, it is necessary to design and implement the UAV flight task algorithm. Firstly, the mainstream UAV hardware and software technologies are investigated, and F450 UAV is selected as the hardware platform and PX4 as the flight control software platform. Secondly, the PX4 flight control development environment is configured and implemented, and the simulation environment based on QGC+Gazebo is configured. Thirdly, on the basis of learning the UAV attitude control algorithm, the algorithm of horizontal rolling, vertical rolling and other special flight tasks are designed. Finally, the burning and testing of the special flight algorithms are realized in the simulation environment and F450 UAV environment. The experimental results show that the designed flight control algorithm is effective and can realize special flight tasks such as horizontal rolling and vertical rolling.

References

  1. Jilai Yuan. 2013. Research and design of UAV ground control station software. Master Thesis, Institute of Aeronautics and Astronautics, Zhejiang University.Google ScholarGoogle Scholar
  2. Ma'Sum M. A., Arrofi M. K., Jati G., 2013. Simulation of intelligent unmanned aerial vehicle (uav) for military surveillance. In 2013 international conference on advanced computer science and information systems (ICACSIS). IEEE, Sanur Bali, Indonesia, 161-166. DOI: 10.1109/ICACSIS.2013.6761569Google ScholarGoogle ScholarCross RefCross Ref
  3. Hu W., Tan T., Wang L., Maybank S.. 2004. A survey on visual surveillance of object motion and behaviors. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 34(3) (July 2004), 334-352. DOI: 10.1109/TSMCC.2004.829274Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Grocholsky B., Keller J., Kumar V., Pappas G.. 2006. Cooperative air and ground surveillance. IEEE Robotics & Automation Magazine 13(3) (August 2006), 16-25. DOI: 10.1109/MRA.2006.1678135Google ScholarGoogle ScholarCross RefCross Ref
  5. Palaniappan K., Poostchi M., Aliakbarpour H., Viguier R., Fraser J., Bunyak F., 2016. Moving object detection for vehicle tracking in wide area motion imagery using 4d filtering. In 2016 23rd International Conference on Pattern Recognition (ICPR). IEEE, Cancun, Mexico, 2830-2835. DOI: 10.1109/ICPR.2016.7900065Google ScholarGoogle ScholarCross RefCross Ref
  6. Kanistras K., Martins G., Rutherford M. J., 2013. A survey of unmanned aerial vehicles (UAVs) for traffic monitoring. In 2013 International Conference on Unmanned Aircraft Systems (ICUAS 2013). IEEE, Atlanta, GA, USA, 221-234. https://doi.org/10.1109/ICUAS.2013.6564694Google ScholarGoogle ScholarCross RefCross Ref
  7. Coifman B., McCord M., Mishalani R. G., 2006. Roadway traffic monitoring from an unmanned aerial vehicle. IEEE Proceedings - Intelligent Transport Systems. 153 (1) (March 2006), 11–20. https://doi.org/10.1049/ip-its:20055014Google ScholarGoogle ScholarCross RefCross Ref
  8. Piciarelli C., Micheloni C., Martinel N., 2013. Outdoor Environment Monitoring with Unmanned Aerial Vehicles. In Proceedings of the 17th International Conference on Image Analysis and Processing(ICIAP 2013). Springer, Naples, Italy, 279–287. https://doi.org/10.1007/978-3-642-41184-7_29Google ScholarGoogle ScholarCross RefCross Ref
  9. Kontitsis M., Valavanis K. P., Tsourveloudis N.. 2004. A UAV vision system for airborne surveillance. In Proceedings of the 2004 IEEE International Conference on Robotics and Automation(ICRA'04). IEEE, New Orleans, LA, USA, 77–83. https://doi.org/10.1109/ROBOT.2004.1307132Google ScholarGoogle ScholarCross RefCross Ref
  10. Li Ronghua. 2023. Design and implementation of ground target tracking System based on rotary-wing UAV. Master Thesis, Southwest University of Science and Technology. DOI:10.27415/d.cnki.gxngc.2022.000015.Google ScholarGoogle ScholarCross RefCross Ref
  11. Xu Zhongxu. 2022. Research on UAV target Following Technology based on Computer Vision. Master Thesis, Nanjing University of Posts and Telecommunications. DOI:10.27251/d.cnki.gnjdc.2021.000069.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Design and implementation of UAV special flight task algorithm

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      EITCE '23: Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering
      October 2023
      1809 pages
      ISBN:9798400708305
      DOI:10.1145/3650400

      Copyright © 2023 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 17 April 2024

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article
      • Research
      • Refereed limited

      Acceptance Rates

      Overall Acceptance Rate508of972submissions,52%
    • Article Metrics

      • Downloads (Last 12 months)3
      • Downloads (Last 6 weeks)3

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format .

    View HTML Format