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A Comparative Field Study of Global Pose Estimation Algorithms in Subterranean Environments
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-0108-6286
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-8235-2728
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0003-0126-1897
2024 (English)In: International Journal of Control, Automation and Systems, ISSN 1598-6446, E-ISSN 2005-4092, Vol. 22, no 2, p. 690-704Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Springer Nature, 2024. Vol. 22, no 2, p. 690-704
National Category
Computer Vision and Robotics (Autonomous Systems)
Research subject
Robotics and Artificial Intelligence
Identifiers
URN: urn:nbn:se:ltu:diva-104216DOI: 10.1007/s12555-023-0026-2ISI: 001155974000016Scopus ID: 2-s2.0-85183702313OAI: oai:DiVA.org:ltu-104216DiVA, id: diva2:1835751
Funder
EU, Horizon 2020, 101003591
Note

Validerad;2024;Nivå 2;2024-02-07 (joosat);

Available from: 2024-02-07 Created: 2024-02-07 Last updated: 2024-03-12Bibliographically approved

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Stathoulopoulos, NikolaosKoval, AntonNikolakopoulos, George

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