Abstract

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.


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1109/iat.2007.71
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004407318,
https://dl.acm.org/citation.cfm?id=1331591.1331693,
https://ieeexplore.ieee.org/document/4407318,
http://ieeexplore.ieee.org/document/4407318,
https://doi.org/10.1109/IAT.2007.58,
https://academic.microsoft.com/#/detail/2076123616
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Document information

Published on 01/01/2008

Volume 2008, 2008
DOI: 10.1109/iat.2007.71
Licence: CC BY-NC-SA license

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