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Visual Collaboration Leader-Follower UAV-Formation for Indoor Exploration
UAVs operating in a leader-follower formation demand the knowledge of the relative pose between the collaborating members. This necessitates the RF-communication of this information which increases the communication latency and can easily result in lost data packets. In this work, rather than relyin...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764138/ https://www.ncbi.nlm.nih.gov/pubmed/35059442 http://dx.doi.org/10.3389/frobt.2021.777535 |
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author | Evangeliou, Nikolaos Chaikalis, Dimitris Tsoukalas, Athanasios Tzes, Anthony |
author_facet | Evangeliou, Nikolaos Chaikalis, Dimitris Tsoukalas, Athanasios Tzes, Anthony |
author_sort | Evangeliou, Nikolaos |
collection | PubMed |
description | UAVs operating in a leader-follower formation demand the knowledge of the relative pose between the collaborating members. This necessitates the RF-communication of this information which increases the communication latency and can easily result in lost data packets. In this work, rather than relying on this autopilot data exchange, a visual scheme using passive markers is presented. Each formation-member carries passive markers in a RhOct configuration. These markers are visually detected and the relative pose of the members is on-board determined, thus eliminating the need for RF-communication. A reference path is then evaluated for each follower that tracks the leader and maintains a constant distance between the formation-members. Experimental studies show a mean position detection error (5 × 5 × 10cm) or less than 0.0031% of the available workspace [0.5 up to 5m, 50.43° × 38.75° Field of View (FoV)]. The efficiency of the suggested scheme against varying delays are examined in these studies, where it is shown that a delay up to 1.25s can be tolerated for the follower to track the leader as long as the latter one remains within its FoV. |
format | Online Article Text |
id | pubmed-8764138 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87641382022-01-19 Visual Collaboration Leader-Follower UAV-Formation for Indoor Exploration Evangeliou, Nikolaos Chaikalis, Dimitris Tsoukalas, Athanasios Tzes, Anthony Front Robot AI Robotics and AI UAVs operating in a leader-follower formation demand the knowledge of the relative pose between the collaborating members. This necessitates the RF-communication of this information which increases the communication latency and can easily result in lost data packets. In this work, rather than relying on this autopilot data exchange, a visual scheme using passive markers is presented. Each formation-member carries passive markers in a RhOct configuration. These markers are visually detected and the relative pose of the members is on-board determined, thus eliminating the need for RF-communication. A reference path is then evaluated for each follower that tracks the leader and maintains a constant distance between the formation-members. Experimental studies show a mean position detection error (5 × 5 × 10cm) or less than 0.0031% of the available workspace [0.5 up to 5m, 50.43° × 38.75° Field of View (FoV)]. The efficiency of the suggested scheme against varying delays are examined in these studies, where it is shown that a delay up to 1.25s can be tolerated for the follower to track the leader as long as the latter one remains within its FoV. Frontiers Media S.A. 2022-01-04 /pmc/articles/PMC8764138/ /pubmed/35059442 http://dx.doi.org/10.3389/frobt.2021.777535 Text en Copyright © 2022 Evangeliou, Chaikalis, Tsoukalas and Tzes. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Robotics and AI Evangeliou, Nikolaos Chaikalis, Dimitris Tsoukalas, Athanasios Tzes, Anthony Visual Collaboration Leader-Follower UAV-Formation for Indoor Exploration |
title | Visual Collaboration Leader-Follower UAV-Formation for Indoor Exploration |
title_full | Visual Collaboration Leader-Follower UAV-Formation for Indoor Exploration |
title_fullStr | Visual Collaboration Leader-Follower UAV-Formation for Indoor Exploration |
title_full_unstemmed | Visual Collaboration Leader-Follower UAV-Formation for Indoor Exploration |
title_short | Visual Collaboration Leader-Follower UAV-Formation for Indoor Exploration |
title_sort | visual collaboration leader-follower uav-formation for indoor exploration |
topic | Robotics and AI |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764138/ https://www.ncbi.nlm.nih.gov/pubmed/35059442 http://dx.doi.org/10.3389/frobt.2021.777535 |
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