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Multi-party Collision Avoidance among Unmanned Aerial Vehicles

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4 Author(s)
Samek, J. ; Czech Tech. Univ. in Prague, Prague ; Sislak, D. ; Volf, P. ; Pechoucek, Michal

This paper addresses the problem of distributed cooperative collision avoidance that supports efficient utilization of air space shared by several autonomous unmanned aerial vehicles. The novel multi-party collision avoidance (MPCA) algorithm is described. It is compared to the iterative peer-to-peer collision avoidance (IPPCA) algorithm that iteratively optimizes social welfare. The paper provides a set of experiments and a comparison of different collision avoidance mechanisms in a multi-agent model of air traffic.

Published in:

Intelligent Agent Technology, 2007. IAT '07. IEEE/WIC/ACM International Conference on

Date of Conference:

2-5 Nov. 2007

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