Towards Evolving Cooperative Mapping for Large-Scale UAV Teams

Shafipour Yourdshahi, Elnaz and Angelov, Plamen Parvanov and Soriano Marcolino, Leandro and Tsianakas, Georgios (2019) Towards Evolving Cooperative Mapping for Large-Scale UAV Teams. In: 2018 IEEE Symposium Series on Computational Intelligence (SSCI) :. IEEE, pp. 2262-2269. ISBN 9781538692769

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Abstract

A team of UAVs has great potential to handle real-world challenges. Knowing the environment is essential to perform in an effective manner. However, in many situations, a map of the environment will not be available. Additionally, for autonomous systems, it is necessary to have approaches that require little energy, computing, power, weight and size. To address this, we propose a light-weight, evolving, and memory efficient cooperative approach for estimating the map of an environment with a team of UAVs. Additionally, we present proof-of-concept experiments with real-life flights, showing that we can estimate maps using an off-the-shelf web-camera.

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©2018 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
ID Code:
128351
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Deposited On:
18 Oct 2018 13:10
Refereed?:
Yes
Published?:
Published
Last Modified:
16 Oct 2024 23:25