Hierarchical Collaborative Navigation Method for UAV Swarm-Reference-Cited by-同舟云学术

Hierarchical Collaborative Navigation Method for UAV Swarm

Published:2021-01 Issue:1 Volume:34 Page:04020097
ISSN:0893-1321
Container-title:Journal of Aerospace Engineering
language:en
Short-container-title:J. Aerosp. Eng.

Author:

Wang Rong¹,Du Junnan²,Xiong Zhi³^ORCID,Chen Xin²,Liu Jianye⁴

Affiliation:

1. Associate Professor, Navigation Research Center, College of Automation Engineering, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 211106, China.

2. Master’s Student, Navigation Research Center, College of Automation Engineering, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 211106, China.

3. Professor, Navigation Research Center, College of Automation Engineering, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 211106, China (corresponding author). ORCID: .

4. Professor, Navigation Research Center, College of Automation Engineering, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 211106, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Aerospace Engineering,General Materials Science,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29AS.1943-5525.0001216

Reference32 articles.

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2. Cui T. S. Q. Z. Zhang and Y. L. Zhang. 2011. “A new method of cooperative localization for a long range flight formation.” In Proc. Int. Conf. on Instrumentation Measurement Computer Communication and Control 933–936. New York: IEEE. https://doi.org/10.1109/IMCCC.2011.235.

3. Stability of cooperative unmanned aerial vehicles based on relative measurements;Dehghani M. A.;J. Aerosp. Eng.,2018

4. Duan H. B. and Q. N. Luo. 2016. “Integrated localization system for autonomous unmanned aerial vehicle formation flight.” In Proc. 12th IEEE Int. Conf. on Control and Automation 395–400. New York: IEEE. https://doi.org/10.1109/ICCA.2016.7505309.

5. Unmanned aerial systems coordinate target allocation based on wolf behaviors

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