State estimation based on Kalman filtering techniques in navigation

This paper tackles the problem of the position measurement and estimation techniques in the robot navigation field based on Kalman filters. It presents the problem of the position estimation based on odometric, infrared and ultrasonic measurements. Further on deals with the theoretical and practical...

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Bibliographic Details
Published in2008 IEEE International Conference on Automation, Quality and Testing, Robotics Vol. 2; pp. 147 - 152
Main Authors Tamas, L., Lazea, G., Robotin, R., Marcu, C., Herle, S., Szekely, Z.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2008
Subjects
Estimation
Filtering algorithms
Filtering theory
infrared measurement
Kalman filter
Kalman filters
Noise measurement
Odometric
Robots
ultrasonic
Ultrasonic variables measurement
unscented transformation
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ISBN9781424425761
142442576X
DOI10.1109/AQTR.2008.4588811

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Summary:This paper tackles the problem of the position measurement and estimation techniques in the robot navigation field based on Kalman filters. It presents the problem of the position estimation based on odometric, infrared and ultrasonic measurements. Further on deals with the theoretical and practical aspects of the state estimation based on Kalman filtering techniques. From the wide range of derivatives of the Kalman filtering technique there are detailed the extended Kalman filter and the one based on unscented transformation. In the second part of the paper is concluded with the results of the comparison between the different filtering algorithms and the further perspectives regarding this subject.
ISBN:9781424425761
142442576X
DOI:10.1109/AQTR.2008.4588811