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Ultra Wide-Band Localization and SLAM: A Comparative Study for Mobile Robot Navigation

Marcelo Segura, Fernando Auat Cheein, Juan Marcos Toibero, Vicente Mut, Ricardo Carelli

Year
2011
Citations
30
Access
Open access

Abstract

In this work, a comparative study between an Ultra Wide-Band (UWB) localization system and a Simultaneous Localization and Mapping (SLAM) algorithm is presented. Due to its high bandwidth and short pulses length, UWB potentially allows great accuracy in range measurements based on Time of Arrival (TOA) estimation. SLAM algorithms recursively estimates the map of an environment and the pose (position and orientation) of a mobile robot within that environment. The comparative study presented here involves the performance analysis of implementing in parallel an UWB localization based system and a SLAM algorithm on a mobile robot navigating within an environment. Real time results as well as error analysis are also shown in this work.

Keywords

Simultaneous localization and mappingMobile robotComputer scienceComputer visionArtificial intelligenceOrientation (vector space)Position (finance)RobotUltra-widebandBandwidth (computing)

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