Towards Autonomous Operation of UAVs Using Data-Driven Target Tracking and Dynamic, Distributed Path Planning Methods

dc.contributor.authorChoi, Jae-Youngen
dc.contributor.authorPrasad, Rachiten
dc.contributor.authorChoi, Seongimen
dc.date.accessioned2024-10-01T12:54:41Zen
dc.date.available2024-10-01T12:54:41Zen
dc.date.issued2024-09-03en
dc.date.updated2024-09-27T13:18:17Zen
dc.description.abstractA hybrid real-time path planning method has been developed that employs data-driven target UAV trajectory tracking methods. It aims to autonomously manage the distributed operation of multiple UAVs in dynamically changing environments. The target tracking methods include a Gaussian mixture model, a long short-term memory network, and extended Kalman filters with pre-specified motion models. Real-time vehicle-to-vehicle communication is assumed through a cloud-based system, enabling virtual, dynamic local networks to facilitate the high demand of vehicles in airspace. The method generates optimal paths by adaptively employing the dynamic <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>A</mi><mo>*</mo></msup></semantics></math></inline-formula> algorithm and the artificial potential field method, with minimum snap trajectory smoothing to enhance path trackability during real flights. For validation, software-in-the-loop testing is performed in a dynamic environment composed of multiple quadrotors. The results demonstrate the framework&rsquo;s ability to generate real-time, collision-free flight paths at low computational costs.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationChoi, J.-Y.; Prasad, R.; Choi, S. Towards Autonomous Operation of UAVs Using Data-Driven Target Tracking and Dynamic, Distributed Path Planning Methods. Aerospace 2024, 11, 720.en
dc.identifier.doihttps://doi.org/10.3390/aerospace11090720en
dc.identifier.urihttps://hdl.handle.net/10919/121239en
dc.language.isoenen
dc.publisherMDPIen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectUTMen
dc.subjectUAS dynamicen
dc.subjectdistributed path planningen
dc.subjectdata-driven target trackingen
dc.subjectsoftware-in-the-loopen
dc.titleTowards Autonomous Operation of UAVs Using Data-Driven Target Tracking and Dynamic, Distributed Path Planning Methodsen
dc.title.serialAerospaceen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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