Research on Cooperative Navigation of UAVs based on Multi-sensor Fusion

With the rapid development of unmanned system technology, multi-sensor fusion and multi-machine collaborative navigation have become hot research directions for improving the performance of UAV systems. In order to explore the current research status of the intersection of multi-sensor fusion and multi-machine collaboration and intuitively compare the latest methods in this direction, this paper summarizes and analyzes the three key technologies in this field: multi-sensor tight coupling in dynamic environments, multi-UAV collaborative navigation optimization, and lightweight map sharing, based on the relevant research in the past five years. First, the basic theory and technical architecture of multi-sensor fusion and multi-machine collaborative navigation are introduced, then the coupling relationship between the two is discussed, and then the key technologies in this field are discussed. Finally, the future development directions of sensor fusion, collaborative navigation and coupling research are prospected.

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Publication Details

Journal
MATEC Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/matecconf/202541004007
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on Cooperative Navigation of UAVs based on Multi-sensor Fusion

Zhaohui Huang
MATEC Web of Conferences
Robotic Path Planning Algorithms
article

Research on Cooperative Navigation of UAVs based on Multi-sensor Fusion

Zhaohui Huang
article en

Abstract

With the rapid development of unmanned system technology, multi-sensor fusion and multi-machine collaborative navigation have become hot research directions for improving the performance of UAV systems. In order to explore the current research status of the intersection of multi-sensor fusion and multi-machine collaboration and intuitively compare the latest methods in this direction, this paper summarizes and analyzes the three key technologies in this field: multi-sensor tight coupling in dynamic environments, multi-UAV collaborative navigation optimization, and lightweight map sharing, based on the relevant research in the past five years. First, the basic theory and technical architecture of multi-sensor fusion and multi-machine collaborative navigation are introduced, then the coupling relationship between the two is discussed, and then the key technologies in this field are discussed. Finally, the future development directions of sensor fusion, collaborative navigation and coupling research are prospected.

MATEC Web of ConferencesVol. 410
Nanjing University of Information Science and Technology (CN)
Openalex Percentile: Top 84%
Robotic Path Planning Algorithms
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Research on Cooperative Navigation of UAVs based on Multi-sensor Fusion — Zhaohui Huang · MATEC Web of Conferences (2025) | TGRS Research Map | TGRS