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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
Document Type:Conference Proceeding
Conference Type:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/5360
Bibliografische Angaben
Title (English):Correction of Uncertain Access Points Positions in Underground Mines Using SLAM Approach
Conference:IDAACS: IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (11. : 22-25 Sept. 2021 : Cracow, Poland)
Author:Dmitry Larionov, Oleg Lukashenko, Alex Moschevikin, Roman Voronov, Axel SikoraStaff MemberORCiDGND
Date of Publication (online):2022/01/05
Publisher:IEEE
First Page:761
Last Page:766
Parent Title (English):Proceedings of The 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications
Volume:2
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)
ISSN:2770-4254 (elektronisch)
ISSN:2770-4262 (Print on Demand)
DOI:https://doi.org/10.1109/IDAACS53288.2021.9660893
URL:https://ieeexplore.ieee.org/document/9660893
Language:English
Inhaltliche Informationen
Institutes:Forschung / ivESK - Institut für verlässliche Embedded Systems und Kommunikationselektronik
Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019)
Institutes:Bibliografie
Formale Angaben
Relevance:Konferenzbeitrag: h5-Index < 30
Open Access: Closed Access 
Licence (German):License LogoUrheberrechtlich geschützt