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KLEČKA, J. HORÁK, K. BOŠTÍK, O.
Original Title
General concepts of multi-sensor data-fusion based SLAM
Type
journal article - other
Language
English
Original Abstract
This paper is approaching a problem of Simultaneous Localization and Mapping (SLAM) algorithms focused specifically on processing of data from a heterogeneous set of sensors concurrently. Sensors are considered to be different in a sense of measured physical quantity and so the problem of effective data-fusion is discussed. A special extension of the standard probabilistic approach to SLAM algorithms is presented. This extension is composed of two parts. Firstly is presented general perspective multiple-sensors based SLAM and then thee archetypical special cases are discuses. One archetype provisionally designated as ”partially collective mapping” has been analyzed also in a practical perspective because it implies a promising options for implicit map-level data-fusion.
Keywords
Simultaneous localization and mapping (SLAM);Localization;Mapping;Data fusion;Partially collective mapping
Authors
KLEČKA, J.; HORÁK, K.; BOŠTÍK, O.
Released
1. 6. 2020
Publisher
Institute of Advanced Engineering and Science
ISBN
2089-4856
Periodical
International Journal of Robotics and Automation (IJRA)
Year of study
9
Number
2
State
Republic of Indonesia
Pages from
63
Pages to
72
Pages count
10
URL
http://ijra.iaescore.com/index.php/IJRA/article/view/20258/12906
Full text in the Digital Library
http://hdl.handle.net/11012/193374
BibTex
@article{BUT164281, author="Jan {Klečka} and Karel {Horák} and Ondřej {Boštík}", title="General concepts of multi-sensor data-fusion based SLAM", journal="International Journal of Robotics and Automation (IJRA)", year="2020", volume="9", number="2", pages="63--72", doi="10.11591/ijra.v9i2.pp63-72", issn="2089-4856", url="http://ijra.iaescore.com/index.php/IJRA/article/view/20258/12906" }