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Laser Based Localization Techniques for Indoor Mobile Robots

Levente Tamás, Gheorghe Lazea, Mircea Popa, István Szőke, András Majdik

Year
2009
Citations
11

Abstract

The localization problem in indoor environment based on LIDAR measurements is analyzed in this paper. Practical aspects of the localization are discussed including the implementations of the state estimation and registration algorithms. The localization framework developed is sufficient generic to be used in a variety of other autonomous vehicles. The results of the proposed navigation algorithms demonstrate a reliable and accurate position estimation for autonomous vehicles operating in a variety of environments.

Keywords

Mobile robotComputer scienceVariety (cybernetics)LidarRobotImplementationPosition (finance)Artificial intelligenceReal-time computingState (computer science)

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