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LIGOCKI, A.
Originální název
Methods for Simultaneous self Localization and Mapping for Depth Cameras
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
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.
Anglický abstrakt
Klíčová slova
SLAM, Visual SLAM, Odometry, Kinect, 3D Mode, Position Estimation
Klíčová slova v angličtině
Autoři
Rok RIV
2018
Vydáno
24.04.2017
Místo
Brno
ISBN
978-80-214-5496-5
Kniha
Sborník EEICT 2017
Strany od
193
Strany do
195
Strany počet
3
URL
http://eeict.feec.vutbr.cz/2017/sbornik/EEICT_2017-sbornik-komplet-2.pdf
BibTex
@inproceedings{BUT141431, author="Adam {Ligocki}", title="Methods for Simultaneous self Localization and Mapping for Depth Cameras", booktitle="Sborník EEICT 2017", year="2017", pages="193--195", address="Brno", isbn="978-80-214-5496-5", url="http://eeict.feec.vutbr.cz/2017/sbornik/EEICT_2017-sbornik-komplet-2.pdf" }