@article{ref1,
title="Research on flight conflict prediction method for non-cooperative large unmanned aerial vehicles",
journal="China safety science journal (CSSJ)",
year="2020",
author="Gao, Y. and Wu, W. and Jia, X. and Xu, M.",
volume="30",
number="4",
pages="80-85",
abstract="In order to reduce risk of collision between non-cooperative large UAVs, firstly, in light of analysis on their operation mode, predication mechanism and procedure of flight conflict based on UAVs operation and management platform were proposed. Secondly, a conflict prediction model building on UAVs flight state data was proposed, which predicted conflicts in both horizontal and vertical directions and determined whether there would be a conflict. And then warning threshold was analyzed to prevent too late reception of alarm information by UAVs ground station. Finally, real-time flight status data of 3 UAVs were used to analyze and verify the model. The results show that the proposed mechanism and program can realize prediction and early warning between non-cooperative large UAVs, and the prediction model can accurately determine whether there is a flight conflict as well as calculate when it will happen. © 2019 China Safety Science Journal<p /><p>Language: zh</p>",
language="zh",
issn="1003-3033",
doi="10.16265/j.cnki.issn1003-3033.2020.04.013",
url="http://dx.doi.org/10.16265/j.cnki.issn1003-3033.2020.04.013"
}