Dynamic Ultrasonic Hybrid Localization System for Indoor Mobile Robots

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An accurate dynamic ultrasonic hybrid localization system is presented for autonomous navigation of indoor mobile robots using multiple ultrasonic distance measurements and an extended Kalman filter (EKF). The ultrasonic sensor subsystem is composed of several ultrasonic transmitters (Txs) attached to the ceiling at known positions and several ultrasonic receivers equilaterally located on the top of the mobile robot, which has a moving speed that is not negligible. An EKF-based algorithm with a state/observation vector composed of the robot pose (or the position and the orientation) is presented using odometric and ultrasonic distance measurements. A dynamic distance estimation method is proposed to track the estimates of ultrasonic distance information from available Txs of interest using both odometric information from the robot and actual ultrasonic distance measurements. This continuous dynamic distance estimation allows persistent use of the hybrid self-localization algorithm to accurately determine the pose of the robot. The experimental results with various trajectories clearly show that the proposed method is much more accurate than only the hybrid self-localization algorithm (without the dynamic distance estimation method).
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2013-10
Language
English
Article Type
Article
Keywords

AUTONOMOUS NAVIGATION; POSE TRACKING; ODOMETRY; SLAM; PROPAGATION

Citation

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, v.60, no.10, pp.4562 - 4573

ISSN
0278-0046
DOI
10.1109/TIE.2012.2216235
URI
http://hdl.handle.net/10203/191203
Appears in Collection
EE-Journal Papers(저널논문)
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