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dc.rights.licenseVisos teisės saugomos / All rights reserveden_US
dc.contributor.authorValme, Daniil
dc.contributor.authorKudelina, Karolina
dc.contributor.authorRassõlkin, Anton
dc.date.accessioned2025-12-17T11:32:33Z
dc.date.available2025-12-17T11:32:33Z
dc.date.issued2021
dc.identifier.isbn9781665449298en_US
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/159577
dc.description.abstractNowadays, the topic of autonomous vehicles is attracting attention. Such technologies and innovative approaches can help to facilitate people's life in different. However, practical implementation of autonomous vehicles requires innovation in different spheres such as regulations, cybersecurity, and ethics. The demand for applying autonomous vehicles in rugged terrain conditions is growing, bringing new challenges for both obstacle overcoming and detection. This paper describes a process of preliminary sensors selection obstacle detection in an autonomous continuous track robot. Different sensors are studied and chosen for a particular case. The initial algorithm for robot navigation is proposed.en_US
dc.format.extent5 p.en_US
dc.format.mediumTekstas / Texten_US
dc.language.isoenen_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/159397en_US
dc.source.urihttps://ieeexplore.ieee.org/document/9431394en_US
dc.subjectautonomous vehiclesen_US
dc.subjectobjects recognitionen_US
dc.subjectpath planningen_US
dc.subjectland vehiclesen_US
dc.subjectrobot controlen_US
dc.titlePreliminary Sensors Selection for Reconfigurable Continuous Track Robot Obstacle Detectionen_US
dc.typeKonferencijos publikacija / Conference paperen_US
dcterms.accrualMethodRankinis pateikimas / Manual submissionen_US
dcterms.issued2021-05-20
dcterms.references22en_US
dc.description.versionTaip / Yesen_US
dc.contributor.institutionTallinn University of Technologyen_US
dcterms.sourcetitle2021 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 22, 2021, Vilnius, Lithuaniaen_US
dc.identifier.eisbn9781665449281en_US
dc.identifier.eissn2690-8506en_US
dc.publisher.nameIEEEen_US
dc.publisher.countryUnited States of Americaen_US
dc.publisher.cityNew Yorken_US
dc.identifier.doihttps://doi.org/10.1109/eStream53087.2021.9431394en_US


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