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Correction of Uncertain Access Points Positions in Underground Mines Using SLAM Approach

  • This paper presents an extended version of a previously published Bayesian algorithm for the automatic correction of the positions of the equipment on the map with simultaneous mobile object trajectory localization (SLAM) in underground mine environment represented by undirected graph. The proposed extended SLAM algorithm requires much less preliminary data on possible equipment positions and usesThis paper presents an extended version of a previously published Bayesian algorithm for the automatic correction of the positions of the equipment on the map with simultaneous mobile object trajectory localization (SLAM) in underground mine environment represented by undirected graph. The proposed extended SLAM algorithm requires much less preliminary data on possible equipment positions and uses an additional resample move algorithm to significantly improve the overall performance.show moreshow less

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Metadaten
Author:Dmitry Larionov, Oleg Lukashenko, Alex Moschevikin, Roman Voronov, Axel SikoraORCiDGND
Publisher:IEEE
Year of Publication:2022
ISBN:978-1-6654-2605-3 (elektronisch)
ISBN:978-1-6654-4209-1 (Print)
ISBN:978-1-6654-4210-7 (USB)
ISBN:978-1-6654-2606-0 (Print on Demand)
Language:English
Parent Title (English):Proceedings of The 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications
Volume:2
ISSN:2770-4254 (elektronisch)
ISSN:2770-4262 (Print on Demand)
First Page:761
Last Page:766
Document Type:Conference Proceeding
Institutes:Bibliografie
Open Access:Zugriffsbeschränkt
Release Date:2022/01/14
Licence (German):License LogoUrheberrechtlich geschützt
Note:
Konferenz: 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 22-25 Sept. 2021, Cracow, Poland
URL:https://ieeexplore.ieee.org/document/9660893
DOI:https://doi.org/10.1109/IDAACS53288.2021.9660893