Name
Abstract | ||
|---|---|---|
The paper proposes decentralized deconfliction algorithms deployed on multiple autonomous aerial vehicles in freeflight operations. The paper provides two separate algorithms for collision avoidance - one based on the iterative peer-to-peer negotiation solving a singular collision and second based on multi-party negotiation about a cluster of collisions. The presented decentralized algorithms allow the vehicles operating in the same area to utilize the given airspace more efficiently. The algorithms have been developed and tested on a multi-agent prototype and the properties of both algorithms are discussed on a set of large scale experiments. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1145/1402298.1402301 | AAMAS (2) |
Keywords | Field | DocType |
col,distributed algorithm | Computer science,Algorithm,Airspace class,Collision,Distributed algorithm,Negotiation,Distributed computing | Conference |
Citations | PageRank | References |
9 | 2.50 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Sislák | 1 | 55 | 9.52 |
| Jiri Samek | 2 | 9 | 2.50 |
| Michal Pěchouček | 3 | 1134 | 133.88 |