Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98860
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dc.contributorDepartment of Aeronautical and Aviation Engineeringen_US
dc.creatorSavkin, AVen_US
dc.creatorHuang, Hen_US
dc.date.accessioned2023-06-01T06:04:32Z-
dc.date.available2023-06-01T06:04:32Z-
dc.identifier.issn1524-9050en_US
dc.identifier.urihttp://hdl.handle.net/10397/98860-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.rightsThe following publication A. V. Savkin and H. Huang, "Multi-UAV Navigation for Optimized Video Surveillance of Ground Vehicles on Uneven Terrains," in IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 9, pp. 10238-10242, Sept. 2023 is available at https://dx.doi.org/10.1109/TITS.2023.3270969.en_US
dc.subjectUnmanned aerial vehiclesen_US
dc.subjectDronesen_US
dc.subjectGround traffic monitoringen_US
dc.subjectMulti-UAV navigationen_US
dc.subjectPath planningen_US
dc.subjectGuidanceen_US
dc.subjectVideo surveillanceen_US
dc.subjectUneven terrainsen_US
dc.subjectGround vehiclesen_US
dc.subjectOptimal 3D UAV navigationen_US
dc.titleMulti-UAV navigation for optimized video surveillance of ground vehicles on uneven terrainsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage10238en_US
dc.identifier.epage10242en_US
dc.identifier.volume24en_US
dc.identifier.issue9en_US
dc.identifier.doi10.1109/TITS.2023.3270969en_US
dcterms.abstractThis paper addresses a trajectory planning problem for a team of UAVs following several ground vehicles on uneven terrain for video surveillance. A model predictive control-based multi-UAV path planning algorithm is designed. A theoretical justification of the path planning algorithm is provided. Extensive simulation studies demonstrate the performance of the proposed method.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE transactions on intelligent transportation systems, Sept 2023, v. 24, no. 9, p. 10238-10242en_US
dcterms.isPartOfIEEE transactions on intelligent transportation systemsen_US
dcterms.issued2023-09-
dc.identifier.eissn1558-0016en_US
dc.description.validate202306 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera2052-
dc.identifier.SubFormID46392-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextResearch Institute for Sports Science and Technologyen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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