TY - GEN
T1 - Review of UAV Swarm Collaborative Navigation
AU - Wang, Tinghui
AU - Zhang, Dong
AU - Ren, Zhi
AU - Tang, Shuo
AU - Du, Minglei
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Collaborative Navigation
KW - Data Fusion
KW - Multi-agent swarm
UR - http://www.scopus.com/inward/record.url?scp=85200460365&partnerID=8YFLogxK
U2 - 10.1007/978-981-97-4010-9_100
DO - 10.1007/978-981-97-4010-9_100
M3 - 会议稿件
AN - SCOPUS:85200460365
SN - 9789819740093
T3 - Lecture Notes in Electrical Engineering
SP - 1269
EP - 1285
BT - 2023 Asia-Pacific International Symposium on Aerospace Technology, APISAT 2023, Proceedings - Volume II
A2 - Fu, Song
PB - Springer Science and Business Media Deutschland GmbH
T2 - Asia-Pacific International Symposium on Aerospace Technology, APISAT 2023
Y2 - 16 October 2023 through 18 October 2023
ER -