Governed by: Ministry of Industry and Information Technology of the People's Republic of China
Sponsored by: Northwestern Polytechnical University  Chinese Society Aeronautics and Astronautics
Address: Aviation Building,Youyi Campus, Northwestern Polytechnical University
Improvement and analysis for geo-fence violation detection algorithm of Unmanned Aircraft System
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1.PLA unit 95140;2.AFEU;3.PLA unit 94582

Clc Number:

V279

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    Abstract:

    The core algorithm to prevent unmanned aircraft system(UAS)from flying out of the designated airspace or flying into the restricted airspace is the goe-fence violation detection algorithm of UAS. In order to improve the accuracy of cross-border detection of UAS geo-fence and ensure the safety of low-altitude UAS flight, this paper improves the ray cast algorithm by adding buffer distance to solve three special cases that cannot be solved by the traditional ray cast algorithm, and it is verified by simulation under Matlab environment, and the detection function of crossing the boundary is realized. Three factors that affect the running time of the improved algorithm are found out, and in-depth analysis and discussion are carried out. Simulation results show that the proposed goe-fence violation detection algorithm based on improved ray cast algorithm improves the accuracy of UAS detection without affecting the running time.

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XIE Dong-cen, LIANG Xiao-long, ZHANG Jia-qiang, FU Qi-xi, zhang kai. Improvement and analysis for geo-fence violation detection algorithm of Unmanned Aircraft System[J]. Advances in Aeronautical Science and Engineering,2020,11(2):207-213

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History
  • Received:May 21,2019
  • Revised:January 06,2020
  • Adopted:February 01,2020
  • Online: April 23,2020
  • Published: April 28,2020