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The Improved Locating Algorithm of Particle Filter Based on ROS Robot

Xun Fang, Xiaoyang Fu, Ming Sun

Year
2018
Citations
2
Access
Open access

Abstract

This paperanalyzes basic theory and primary algorithm of the real-time locating system and SLAM technology based on ROS system Robot. It proposes improved locating algorithm of particle filter effectively reduces the matching time of laser radar and map, additional ultra-wideband technology directly accelerates the global efficiency of FastSLAM algorithm, which no longer needs searching on the global map. Meanwhile, the re-sampling has been largely reduced about 5/6 that directly cancels the matching behavior on Roboticsalgorithm.

Keywords

Particle filterMatching (statistics)Computer visionArtificial intelligenceComputer scienceRobotSimultaneous localization and mappingSampling (signal processing)Blossom algorithmAlgorithm

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