Name
Abstract | ||
|---|---|---|
The control of a multiple unmanned aerial vehicle (UAV) system is popular and attracting a lot of attentions. This is motivated by many practical civil and commercial UAV applications. Collision avoidance is the fundamental in motion planning of multi-UAVs, especially for large teams of UAVs. Although several collision avoidance approaches have been reported, there is a lack of highlighting the key components shared by these approaches. In this work, we aim to provide researchers with a state-of-the-art overview of various approaches for multi-UAV collision avoidance. The existing works on collision avoidance are presented through several classifications based on algorithm used and frameworks designed, and their main features are also discussed. A discussion on the literature summary in multi-UAV collision avoidance is given, Finally, the challenges in the research directions are presented. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.arcontrol.2019.10.001 | Annual Reviews in Control |
Keywords | Field | DocType |
Collision avoidance,Multiple unmanned aerial vehicles,Obstacles,Unmanned systems | Motion planning,Control engineering,Collision,Engineering | Journal |
Volume | ISSN | Citations |
48 | 1367-5788 | 6 |
PageRank | References | Authors |
0.48 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Su-Nan Huang | 1 | 505 | 61.65 |
| Rodney Teo | 2 | 216 | 15.80 |
| Kok Kiong Tan | 3 | 923 | 99.57 |