Real time Appearance Based mapping and Localization
dc.contributor.advisor | Almusawi , Husam | |
dc.contributor.author | Mbanefo, Annmaria | |
dc.contributor.department | DE--Műszaki Kar | |
dc.date.accessioned | 2023-12-20T13:17:00Z | |
dc.date.available | 2023-12-20T13:17:00Z | |
dc.date.created | 2023-12-01 | |
dc.description.abstract | The 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.course | Mechatronic Engineering | |
dc.description.degree | BSc/BA | |
dc.format.extent | 78 | |
dc.identifier.uri | https://hdl.handle.net/2437/364113 | |
dc.language.iso | en | |
dc.rights.access | Hozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében. | |
dc.subject | SLAM | |
dc.subject | RTAB-Map | |
dc.subject | Odometry | |
dc.subject | Pose | |
dc.subject | Robot | |
dc.subject.dspace | DEENK Témalista::Engineering Sciences::Engineering | |
dc.title | Real time Appearance Based mapping and Localization | |
dc.title.subtitle | Real time Appearance Based mapping and Localization for indoor Survelliance |