ADOPTING VISUAL ODOMETRY FOR INDOOR MOBILE ROBOT LOCALIZATION

dc.contributor.author	Sharipov, Madiyar
dc.date.accessioned	2022-09-21T08:21:41Z
dc.date.available	2022-09-21T08:21:41Z
dc.date.issued	2022-04
dc.description.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.	en_US
dc.identifier.citation	Sharipov, M. (2022). ADOPTING VISUAL ODOMETRY FOR INDOOR MOBILE ROBOT LOCALIZATION (Unpublished master's thesis). Nazarbayev University, Nur-Sultan, Kazakhstan	en_US
dc.identifier.uri	http://nur.nu.edu.kz/handle/123456789/6717
dc.language.iso	en	en_US
dc.publisher	Nazarbayev University School of Engineering and Digital Sciences	en_US
dc.rights	Attribution-NonCommercial-ShareAlike 3.0 United States	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/3.0/us/	*
dc.subject	AMCL	en_US
dc.subject	Type of access: Gated Access	en_US
dc.subject	Research Subject Categories::TECHNOLOGY	en_US
dc.subject	RTAB-map	en_US
dc.subject	Simultaneous Localization And Mapping	en_US
dc.subject	SLAM	en_US
dc.subject	Adaptive Monte Carlo Localization	en_US
dc.subject	LiDAR	en_US
dc.title	ADOPTING VISUAL ODOMETRY FOR INDOOR MOBILE ROBOT LOCALIZATION	en_US
dc.type	Master's thesis	en_US
workflow.import.source	science