Real time Appearance Based mapping and Localization

dc.contributor.advisorAlmusawi , Husam
dc.contributor.authorMbanefo, Annmaria
dc.contributor.departmentDE--Műszaki Kar
dc.date.accessioned2023-12-20T13:17:00Z
dc.date.available2023-12-20T13:17:00Z
dc.date.created2023-12-01
dc.description.abstractThe focus is on generating 3D point cloud maps using a loop closure methodology to estimate location familiarity. The research addresses hardware development for robot and sensor systems, aiming to enhance the accuracy and cost-effectiveness of real-time localization in indoor environments through affordable hardware and open-source programming techniques. Ultimately, it seeks to enable autonomous robots to navigate effectively in their generated map
dc.description.courseMechatronic Engineering
dc.description.degreeBSc/BA
dc.format.extent78
dc.identifier.urihttps://hdl.handle.net/2437/364113
dc.language.isoen
dc.rights.accessHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectSLAM
dc.subjectRTAB-Map
dc.subjectOdometry
dc.subjectPose
dc.subjectRobot
dc.subject.dspaceDEENK Témalista::Engineering Sciences::Engineering
dc.titleReal time Appearance Based mapping and Localization
dc.title.subtitleReal time Appearance Based mapping and Localization for indoor Survelliance
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