TY - GEN
T1 - Research on UAV conflict resolution based on dynamic conflict detection model
AU - Zhou, Qiang
AU - Cheng, Guobao
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - UAV has been widely used in various industries, but at present, it mainly operates in isolated airspace, which limits the further development of UAV. This paper presents an improved UAV conflict detection model is proposed to establish a dynamic conflict detection model based on the operation status of UAV and intruders, and the conflict deconfliction of UAV is realized based on the detection results combined with ORCA(Optimal Reciprocal Collision Avoidance) algorithm, which further improves the success rate of conflict deconfliction and ensures the safe and efficient operation of UAV. Finally, Monte Carlo simulation is used to simulate the algorithm and verify the effectiveness of the algorithm.
AB - UAV has been widely used in various industries, but at present, it mainly operates in isolated airspace, which limits the further development of UAV. This paper presents an improved UAV conflict detection model is proposed to establish a dynamic conflict detection model based on the operation status of UAV and intruders, and the conflict deconfliction of UAV is realized based on the detection results combined with ORCA(Optimal Reciprocal Collision Avoidance) algorithm, which further improves the success rate of conflict deconfliction and ensures the safe and efficient operation of UAV. Finally, Monte Carlo simulation is used to simulate the algorithm and verify the effectiveness of the algorithm.
KW - Monte Carlo
KW - ORCA
KW - UAV
KW - dynamic conflict detection model
UR - https://www.scopus.com/pages/publications/85124996770
U2 - 10.1109/ICEERT53919.2021.00022
DO - 10.1109/ICEERT53919.2021.00022
M3 - 会议稿件
AN - SCOPUS:85124996770
T3 - Proceedings - 2021 International Conference on Information Control, Electrical Engineering and Rail Transit, ICEERT 2021
SP - 70
EP - 74
BT - Proceedings - 2021 International Conference on Information Control, Electrical Engineering and Rail Transit, ICEERT 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 International Conference on Information Control, Electrical Engineering and Rail Transit, ICEERT 2021
Y2 - 30 October 2021 through 1 November 2021
ER -