New Entropy-Based Adaptive Particle Filter for Mobile Robot Localization-Reference-Cited by-同舟云学术

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New Entropy-Based Adaptive Particle Filter for Mobile Robot Localization

Published:2009-01 Issue:12-13 Volume:23 Page:1761-1778
ISSN:0169-1864
Container-title:Advanced Robotics
language:en
Short-container-title:Advanced Robotics

Author:

Cen Guanghui¹,Matsuhira Nobuto²,Hirokawa Junko³,Ogawa Hideki⁴,Hagiwara Ichiro⁵

Affiliation:

1. a Department of Mechanical Sciences and Engineering, Tokyo Institute of Technology, Tokyo 152-8550, Japan

2. b Corporate R&D Center, Toshiba Corp., 1, Komukai-Toshiba-cho, Saiwai-ku, Kawasaki 212-8582, Japan

3. c Corporate R&D Center, Toshiba Corp., 1, Komukai-Toshiba-cho, Saiwai-ku, Kawasaki 212-8582, Japan

4. d Corporate R&D Center, Toshiba Corp., 1, Komukai-Toshiba-cho, Saiwai-ku, Kawasaki 212-8582, Japan

5. e Department of Mechanical Sciences and Engineering, Tokyo Institute of Technology, Tokyo 152-8550, Japan

Publisher

Informa UK Limited

Subject

Computer Science Applications,Hardware and Architecture,Human-Computer Interaction,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1163/016918609X12496340121133

Reference30 articles.

1. Particle methods for Bayesian modeling and enhancement of speech signals

2. Robust Monte Carlo localization for mobile robots

3. Improved Techniques for Grid Mapping With Rao-Blackwellized Particle Filters

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1. DTM-Aided Adaptive EPF Navigation Application in Railways;Sensors;2018-11-09

2. Active target search for high dimensional robotic systems;Autonomous Robots;2015-12-28

3. Design and simulation of a novel indoor mobile robot localization method using a light-emitting diode positioning system;Transactions of the Institute of Measurement and Control;2015-06-30

4. A UKF-Based Predictable SVR Learning Controller for Biped Walking;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2013-11

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