This paper presents an implementation and comparison between odometry and probabilistic algorithms for the mobile robot localization problem in indoor environments.The hardware and software tools used for the experiments are briefly described. Also, a software architecture is proposed to make easier the development of computer applications including the tested algorithms which are used to get the results to compare.


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    Title :

    Experimental Comparison of Extended Kalman and Particle Filter in Mobile Robotic Localization


    Contributors:


    Publication date :

    2009-09-01


    Size :

    896046 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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