Towards evolving cooperative Mmapping for large-scale UAV Teams
Towards evolving cooperative Mmapping for large-scale UAV Teams
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.
2262-2269
Shafipour Yourdshahi, Elnaz
a2e1dea9-d3c0-4288-afdc-197df65f2556
Angelov, Plamen
30ed50c8-95c0-44c8-aa44-bef2a25e2fb5
Soriano Marcolino, Leandro
47cf09dc-41a4-455b-82ff-d6582b6e241f
Tsianakas, Georgios
3ec19941-2fa9-4c5f-9178-877ef1bfaf18
31 January 2019
Shafipour Yourdshahi, Elnaz
a2e1dea9-d3c0-4288-afdc-197df65f2556
Angelov, Plamen
30ed50c8-95c0-44c8-aa44-bef2a25e2fb5
Soriano Marcolino, Leandro
47cf09dc-41a4-455b-82ff-d6582b6e241f
Tsianakas, Georgios
3ec19941-2fa9-4c5f-9178-877ef1bfaf18
Shafipour Yourdshahi, Elnaz, Angelov, Plamen, Soriano Marcolino, Leandro and Tsianakas, Georgios
(2019)
Towards evolving cooperative Mmapping for large-scale UAV Teams.
In IEEE Symposium Series on Computational Intelligence (SSCI).
IEEE.
.
(doi:10.1109/SSCI.2018.8628838).
Record type:
Conference or Workshop Item
(Paper)
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.
More information
Published date: 31 January 2019
Venue - Dates:
2018 IEEE Symposium Series on Computational Intelligence (SSCI), , Bangalore, India, 2018-11-18 - 2018-11-21
Identifiers
Local EPrints ID: 470345
URI: http://eprints.soton.ac.uk/id/eprint/470345
PURE UUID: 0580935a-2533-4bd4-a0b0-74fc3517a3fe
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Date deposited: 06 Oct 2022 17:03
Last modified: 16 Mar 2024 21:10
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Contributors
Author:
Elnaz Shafipour Yourdshahi
Author:
Plamen Angelov
Author:
Leandro Soriano Marcolino
Author:
Georgios Tsianakas
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