Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Evangeliou, Nikolaos, Chaikalis, Dimitris, Tsoukalas, Athanasios, Tzes, Anthony
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
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
_version_ 1784634098727256064
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
work_keys_str_mv AT evangeliounikolaos visualcollaborationleaderfolloweruavformationforindoorexploration
AT chaikalisdimitris visualcollaborationleaderfolloweruavformationforindoorexploration
AT tsoukalasathanasios visualcollaborationleaderfolloweruavformationforindoorexploration
AT tzesanthony visualcollaborationleaderfolloweruavformationforindoorexploration