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Advance Reconnaissance of UGV Path Planning Using Unmanned Aerial Vehicle to Carry Our Mission in Unknown Environment

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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.fosEngenharia e Tecnologia::Engenharia dos Materiais
datacite.subject.fosEngenharia e Tecnologia::Engenharia Mecânica
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg08:Trabalho Digno e Crescimento Económico
datacite.subject.sdg04:Educação de Qualidade
dc.contributor.authorNowakowski, Marek
dc.contributor.authorBerger, Guido S.
dc.contributor.authorBraun, João A.
dc.contributor.authorMendes, João
dc.contributor.authorBonzatto Junior, Luciano
dc.contributor.authorLima, José
dc.date.accessioned2026-02-27T17:48:14Z
dc.date.available2026-02-27T17:48:14Z
dc.date.issued2024
dc.description.abstractThe utilization of unmanned vehicles for specialized tasks has gained significant attention in both military and civilian domains. This article explores the application of commercial unmanned aerial vehicles (UAVs) for reconnaissance purposes, specifically to verify autonomous driving missions assigned to the developed TAERO manned-unmanned vehicle in field operations. The paper introduces the TAERO vehicle, highlighting its functionality and capabilities for unmanned missions. The architecture of the unmanned ground vehicle (UGV) system is discussed taking into consideration the autonomy subsystem and used location data. The limitations associated with terrain and potential obstacles are addressed as well as importance of acquiring accurate terrain information for successful autonomous operation. The solution proposed in our study involves the use of a commercially available UAV applied to the visual tracking of potential targets in an engagement scenario. Details related to flight route planning system, geolocation, target tracking, and data transmission between robotic platforms are discussed and presented in this work. The acquired real-time data plays a crucial role in confirming the mission, making necessary adjustments, or altering the planned route. The UAV platform, known for its maneuverability and operational capabilities, can operate ahead as a reconnaissance element, improving the overall reconnaissance capabilities of the system. Upon completion of the mission, the UAV can return to the base or land on a moving vehicle platform. The authors proposed integration of a UAV that significantly enhances the autonomous mode capabilities of unmanned ground platform, improving operation in unknown environment during special mission.eng
dc.description.sponsorshipThis work was partially supported by research work no. 55.2022489.PL at the Military Institute of Armoured and Automotive Technology. The authors are appreciative the members of the consortium that developed the TAERO vehicle (WITPIS, STEKOP, AutoPodlasie, and AP Solutions) to use vehicles in real environment testing.
dc.identifier.citationNowakowski, Marek; Berger, Guido S.; Braun, João A.; Mendes, João; Bonzatto Junior, Luciano; Lima, José (2024). Advance Reconnaissance of UGV Path Planning Using Unmanned Aerial Vehicle to Carry Our Mission in Unknown Environment. In Robot 2023: Sixth Iberian Robotics Conference. ISBN 978-3-031-59166-2. p. 50-61
dc.identifier.doi10.1007/978-3-031-59167-9_5
dc.identifier.isbn978-3-031-59166-2
dc.identifier.isbn978-3-031-59167-9
dc.identifier.urihttp://hdl.handle.net/10198/35898
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer
dc.relation.ispartofLecture Notes in Networks and Systems
dc.relation.ispartofRobot 2023: Sixth Iberian Robotics Conference
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectUAV
dc.subjectReconnaissance
dc.subjectUGV
dc.titleAdvance Reconnaissance of UGV Path Planning Using Unmanned Aerial Vehicle to Carry Our Mission in Unknown Environmenteng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.endPage61
oaire.citation.startPage50
oaire.citation.titleRobot 2023: Sixth Iberian Robotics Conference
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aa
person.familyNameBerger
person.familyNameBraun
person.familyNameMendes
person.familyNameLima
person.givenNameGuido S.
person.givenNameJoão A.
person.givenNameJoão
person.givenNameJosé
person.identifier2726655
person.identifierR-000-8GD
person.identifier.ciencia-id931A-887B-D75D
person.identifier.ciencia-idBF13-D66B-7D08
person.identifier.ciencia-idEA1F-844D-6BA9
person.identifier.ciencia-id6016-C902-86A9
person.identifier.orcid0000-0002-4100-1494
person.identifier.orcid0000-0003-0276-4314
person.identifier.orcid0000-0003-0979-8314
person.identifier.orcid0000-0001-7902-1207
person.identifier.ridL-3370-2014
person.identifier.scopus-author-id57211244317
person.identifier.scopus-author-id57225794972
person.identifier.scopus-author-id55851941311
relation.isAuthorOfPublicationaf502b94-c812-4efb-abb5-4d61a678a06b
relation.isAuthorOfPublicationb8dfcbd7-1b89-48f3-afee-3e7d3f3c90d4
relation.isAuthorOfPublicationb5c9de22-cf9e-47b8-b7a4-26e08fb12b28
relation.isAuthorOfPublicationd88c2b2a-efc2-48ef-b1fd-1145475e0055
relation.isAuthorOfPublication.latestForDiscoveryaf502b94-c812-4efb-abb5-4d61a678a06b

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