Publication
Title
Asynchronous, electromagnetic sensor fusion in RatSLAM
Author
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.
Language
English
Source (journal)
Proceedings of IEEE Sensors. - Piscataway, NJ, 2002, currens
Source (book)
2015 IEEE SENSORS, NOV 01-04, 2015, Busan, SOUTH AFRICA
Publication
New york : Ieee, 2015
ISSN
1930-0395
ISBN
978-1-4799-8203-5
Volume/pages
(2015), p. 1465-1468
ISI
000380440800382
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 06.10.2016
Last edited 03.12.2017
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