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Experimental Set-up for Evaluation of Algorithms for Simultaneous Localization and Mapping

  • The precise positioning of mobile systems is a prerequisite for any autonomous behavior, in an industrial environment as well as for field robotics. The paper describes the set up for an experimental platform and its use for the evaluation of simultaneous localization and mapping (SLAM) algorithms. Two approaches are compared. First, a local method based on point cloud matching and integration ofThe precise positioning of mobile systems is a prerequisite for any autonomous behavior, in an industrial environment as well as for field robotics. The paper describes the set up for an experimental platform and its use for the evaluation of simultaneous localization and mapping (SLAM) algorithms. Two approaches are compared. First, a local method based on point cloud matching and integration of inertial measurement units is evaluated. Subsequent matching makes it possible to create a three-dimensional point cloud that can be used as a map in subsequent runs. The second approach is a full SLAM algorithm, based on graph relaxation models, incorporating the full sensor suite of odometry, inertial sensors, and 3D laser scan data.zeige mehrzeige weniger

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Metadaten
Dokumentart:Konferenzveröffentlichung
Art der Konferenzveröffentlichung:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/4371
Bibliografische Angaben
Titel (Englisch):Experimental Set-up for Evaluation of Algorithms for Simultaneous Localization and Mapping
Konferenzangaben:27th European Conference (EuroSPI 2020), September 9-11 2020, Düsseldorf, Germany
Verfasserangaben:Stefan HenselStaff MemberORCiDGND, Marin B. MarinovORCiD, Christoph Kehret, Maria Stefanova-Pavlova
Erscheinungsjahr:2020
Verlagsort:Cham
Verlag:Springer
Erste Seite:433
Letzte Seite:444
Titel des übergeordneten Werkes (Englisch):Proceedings of EuroSPI 2020: Systems, Software and Services Process Improvement
Herausgeber*in:Murat Yilmaz, Jörg Niemann, Paul Clarke, Richard Messnarz
ISBN:978-3-030-56440-7 (Print)
ISBN:978-3-030-56441-4 (Online)
ISSN:1865-0929 (Print)
ISSN:1865-0937 (Online)
DOI:https://doi.org/10.1007/978-3-030-56441-4_32
Sprache:Englisch
Inhaltliche Informationen
Fakultäten / Einrichtungen:Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019)
Sammlungen der Hochschule Offenburg:Bibliografie
Formale Angaben
Open-Access-Status: Closed Access 
Lizenz (Deutsch):License LogoUrheberrechtlich geschützt