Methods for Simultaneous self Localization and Mapping for Depth Cameras
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU125418" target="_blank" >RIV/00216305:26220/17:PU125418 - isvavai.cz</a>
Result on the web
<a href="http://eeict.feec.vutbr.cz/2017/sbornik/EEICT_2017-sbornik-komplet-2.pdf" target="_blank" >http://eeict.feec.vutbr.cz/2017/sbornik/EEICT_2017-sbornik-komplet-2.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Methods for Simultaneous self Localization and Mapping for Depth Cameras
Original language description
This work deals with the extension of the existing implementation of RGBD Visual SLAM with additional data source from wheel odometry of robot’s chassis, on which RGBD sensor is lo- cated. Each of these two position estimation methods has a different character measurement uncer- tainty. By combining these methods together we could be able to suppress the disadvantages of both approaches, and in the result we would be able to create more accurate model of the robot’s environ- ment, which was unknown at the beginning of the measurement. Also accuracy of position estimation in created model can be improved.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Sborník EEICT 2017
ISBN
978-80-214-5496-5
ISSN
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e-ISSN
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Number of pages
3
Pages from-to
193-195
Publisher name
Neuveden
Place of publication
Brno
Event location
Brno
Event date
Apr 27, 2017
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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