In recent years, with the rapid development of multi-agent swarm, collaborative navigation technology is playing an increasing role in both military and civilian applications. This paper firstly introduces the structure of collaborative navigation, and explains the characteristics of leader-follower, parallel and hierarchical navigation structures; secondly, according to the acquisition of measurement information between cooperative platforms, collaborative navigation methods based on radio navigation and visual navigation are introduced; then from the perspective of collaborative navigation algorithms, methods based on the Bayesian estimation theory, methods based on probabilistic graphical models and methods based on the optimization theory are introduced; finally, the current development trend of collaborative navigation technology is illustrated.
Review of UAV Swarm Collaborative Navigation
Lect. Notes Electrical Eng.
Asia-Pacific International Symposium on Aerospace Technology ; 2023 ; Lingshui, China October 16, 2023 - October 18, 2023
2023 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2023) Proceedings ; Chapter : 100 ; 1269-1285
2024-07-05
17 pages
Article/Chapter (Book)
Electronic Resource
English
ONLINE MODELING METHOD FOR DYNAMIC MUTUAL OBSERVATION OF DRONE SWARM COLLABORATIVE NAVIGATION
European Patent Office | 2021
|TIBKAT | 2019
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