ADOPTING VISUAL ODOMETRY FOR INDOOR MOBILE ROBOT LOCALIZATION
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Date
2022-04
Authors
Sharipov, Madiyar
Journal Title
Journal ISSN
Volume Title
Publisher
Nazarbayev University School of Engineering and Digital Sciences
Abstract
Localization problem is one of the primary problems for robot indoor navigation. This
work discusses different types of odometry and focuses on the visual one. It implements
the localization system based on the RTAB-map and compares it with such a classical
approach as AMCL. The paper contain the detailed explanation of robot design for localization
system implementation.
Description
Keywords
AMCL, Type of access: Gated Access, Research Subject Categories::TECHNOLOGY, RTAB-map, Simultaneous Localization And Mapping, SLAM, Adaptive Monte Carlo Localization, LiDAR
Citation
Sharipov, M. (2022). ADOPTING VISUAL ODOMETRY FOR INDOOR MOBILE ROBOT LOCALIZATION (Unpublished master's thesis). Nazarbayev University, Nur-Sultan, Kazakhstan