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  • 标题:A Novel Resampling Method for Particle Filter for Mobile Robot Localization
  • 本地全文:下载
  • 作者:Widyawardana Adiprawita ; AdangSuwandi Ahmad ; Jaka Sembiring
  • 期刊名称:International Journal on Electrical Engineering and Informatics
  • 印刷版ISSN:2085-6830
  • 出版年度:2011
  • 卷号:3
  • 期号:2
  • 出版社:School of Electrical Engineering and Informatics
  • 摘要:This paper present a particle filter for mobile robot localization also known as Monte Carlo Localization (MCL) to solve the localization problem of autonomous mobile robot. A new resampling mechanism is proposed. This new resampling mechanism enables the particle filter to converge quicker and more robust to kidnaping problem. This particle filter is simulated in MATLAB and also experimented physically using a simple autonomous mobile robot built with Lego Mindstorms NXT with 3 ultrasonic sonar and RWTH Mindstorms NXT Toolbox for MATLAB to connect the robot to MATLAB. The particle filter with the new resampling algorithm can perform very well in thesimulation as well as in physical experiments.
  • 关键词:Autonomous mobile robot; Monte Carlo Localization; particle filter;resampling; LEGO Mindstorm NXR; RWTH toolbox.
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