Abstract
SLAM (simultaneous localization and mapping) problem appears in robot algorithms when it is necessary to orient in an unknown environment without GPS or some other world communication system. Data for considered SLAM method is received from laser rangefinders and odometry sensors. Scan matching is a localization step of the SLAM problem and the main idea is to find an offset between two laser scans — sets of points that presents a perception of environment from one observed point. Three different scan matchers based on various approaches are compared to determine the most accurate one.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
