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Author Berkvens, R. ♦ Weyn, M. ♦ Peremans, H.
Sponsorship IEEE
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Applied physics
Subject Keyword Mutual information ♦ Robot sensing systems ♦ IEEE 802.11 Standard ♦ Active RFID tags ♦ Position measurement ♦ Passive RFID tags ♦ Sensor fusion ♦ Information Theory ♦ RFID ♦ Wi-Fi ♦ SLAM ♦ geomagnetic flux ♦ Sensor Fusion
Abstract We show the predictive value of the mean mutual information rate about the RatSLAM algorithm for electromagnetic sensors and their combinations. We calculated the mean mutual information between positions in the environment and sensor measurements performed at a specific position in the environment and defined the mean mutual information rate depending on the sensor's measurement rate. We compare these results to RatSLAM experience maps generated using these sensors and sensor combinations and define a mean error to quantify the spatial quality of the experience map. We conclude that the mean mutual information rate generally predicts the performance correctly, but also find and explain discrepancies in specific cases.
Description Author affiliation: MOSAIC, Univ. of Antwerp, Antwerp, Belgium (Berkvens, R.; Weyn, M.) || Appl. Econ., Univ. of Antwerp, Antwerp, Belgium (Peremans, H.)
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-11-01
Publisher Place South Korea
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781479982035
Size (in Bytes) 1.17 MB
Page Count 4
Starting Page 1
Ending Page 4


Source: IEEE Xplore Digital Library