Laser pose tracking for a mobile robot using fuzzy adaptive extended information filtering

This paper presents a laser pose tracking method for a mobile robot using fuzzy adaptive extended information filtering (FAEIF). The FAEIF, composed of a fuzzy tuner, is proposed to improve the performance of the EIF, and to avoid the EIF divergence problems caused by the noise variations or occurre...

Full description

Saved in:
Bibliographic Details
Main Authors: Chang, Chih-Fu, Tsai, Ching-Chih, Hsu, Jui-Cheng, Lin, Chu-Chih
Format: Conference Proceeding
Language:English
Subjects:
Condition monitoring
Information filtering
Information filters
Laser modes
Laser noise
Laser tuning
Mobile robots
Noise robustness
Technological innovation
Tuners
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper presents a laser pose tracking method for a mobile robot using fuzzy adaptive extended information filtering (FAEIF). The FAEIF, composed of a fuzzy tuner, is proposed to improve the performance of the EIF, and to avoid the EIF divergence problems caused by the noise variations or occurrence of modeling errors. By monitoring the innovation sequences, the fuzzy tuner adjusts on-line the key parameter of the EIF and thus improves accuracy and robustness of its estimates. Through simulation and experiment results, the proposed laser-scanner-based pose estimation method has been proven capable of giving satisfactory performance and overcoming the filter divergence problems under the noise variations and occurrence of modeling errors.
ISSN:0743-1619
2378-5861
DOI:10.1109/ACC.2003.1243446