Sensor Fusion: An Application to Localization and Obstacle Avoidance in Robotics Using Multiple IR Sensors
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F14%3A39897653" target="_blank" >RIV/00216275:25530/14:39897653 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-07401-6_38" target="_blank" >http://dx.doi.org/10.1007/978-3-319-07401-6_38</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-07401-6_38" target="_blank" >10.1007/978-3-319-07401-6_38</a>
Alternative languages
Result language
angličtina
Original language name
Sensor Fusion: An Application to Localization and Obstacle Avoidance in Robotics Using Multiple IR Sensors
Original language description
Sensor fusion brings the advantage of combining data from various sensors and there by generating a more accurate prediction or estimation of data. Over dependency of sensor and estimation from unreliable data are the most challenging tasks in mobile robotics. In this paper, a framework of sensor fusion technique is presented. The data from the multiple sensors are fused together and the parameters and crash time are estimated. The experiment results show that the sensor fusion technique provides solution to over dependency of sensor and problems with estimation of data from unreliable data. The technique finds application in obstacle avoidance and localization of mobile robots.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems
ISBN
978-3-319-07400-9
ISSN
2194-5357
e-ISSN
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Number of pages
8
Pages from-to
385-392
Publisher name
Springer
Place of publication
New York
Event location
Ostrava
Event date
Jun 23, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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