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Design and Implementation of Visual Simultaneous Localization and Mapping (VSLAM) Navigation System

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dc.contributor.author Bekcan, Arda
dc.contributor.author Ergezer, Halit
dc.date.accessioned 2023-02-15T11:13:17Z
dc.date.available 2023-02-15T11:13:17Z
dc.date.issued 2021
dc.identifier.citation Bekcan, Arda; Ergezer, Halit (2021). "Design and Implementation of Visual Simultaneous Localization and Mapping (VSLAM) Navigation System", 29TH IEEE CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS (SIU 2021). tr_TR
dc.identifier.uri http://hdl.handle.net/20.500.12416/6242
dc.description.abstract It is very important to guess the location of the redetected objects and loop closures with the visual simultaneous localization and mapping system (VSLAM), one of the biggest problems of a mobile robot. VSLAM makes it possible to eliminate and/or reduce these applications' errors and realize or improve the robot's direction and position correctly by creating a map of the environment. This study aims to achieve an autonomous indoor/outdoor navigation of a ground robot using VSLAM algorithm in an unknown environment using a monocular camera. In this context, the theoretical information was tested in real-world conditions. Performance of localization and loop closing were compared based on the results obtained by experiments tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1109/SIU53274.2021.9477703 tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Localization tr_TR
dc.subject Mapping tr_TR
dc.subject Computer Vision tr_TR
dc.title Design and Implementation of Visual Simultaneous Localization and Mapping (VSLAM) Navigation System tr_TR
dc.type conferenceObject tr_TR
dc.relation.journal 29TH IEEE CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS (SIU 2021) tr_TR
dc.contributor.authorID 293396 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Mekatronik Mühendisliği Bölümü tr_TR


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