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Dynamic Maps Requirements for Autonomous Navigation in Construction Sites
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.ORCID iD: 0000-0001-5881-7046
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.ORCID iD: 0000-0001-5488-2799
Volvo Construct Equipment, Emerging Technol Dept, Eskilstuna, Sweden.ORCID iD: 0000-0002-0474-2904
Volvo Autonomous Solut, Eskilstuna, Sweden.
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2022 (English)In: The 5th International Conference on Communications, Signal Processing, and their Applications (ICCSPA22), 2022Conference paper, Published paper (Refereed)
Abstract [en]

Construction sites are a special kind of off-road environment that needs dedicated dynamic maps to enable autonomous navigation in such terrains. In this paper, challenges for autonomous navigation on construction sites are first identified. Later, requirements for dynamic maps for autonomous navigation on construction sites are proposed based on the identified challenges.
Place, publisher, year, edition, pages
2022.
Series
International Conference on Communications Signal Processing and their Applications ICCSPA, ISSN 2377-682X
Keywords [en]
Construction sites, autonomous navigation, autonomous machines, off-road, map creation, map update
National Category
Engineering and Technology Control Engineering
Research subject
Computer Science; Innovation and Design
Identifiers
URN: urn:nbn:se:mdh:diva-61191DOI: 10.1109/ICCSPA55860.2022.10019082ISI: 000972628300028Scopus ID: 2-s2.0-85147551963OAI: oai:DiVA.org:mdh-61191DiVA, id: diva2:1717950
Conference
The 5th International Conference on Communications, Signal Processing, and their Applications (ICCSPA22), 27-29 December, 2022
Projects
TRUST-SOSIndTechAvailable from: 2022-12-11 Created: 2022-12-11 Last updated: 2025-01-28Bibliographically approved
In thesis
1. Towards Multi-Layered Dynamic Off-Road Maps
Open this publication in new window or tab >>Towards Multi-Layered Dynamic Off-Road Maps
2025 (English)Licentiate thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Västerås: Mälardalens universitet, 2025
Series
Mälardalen University Press Licentiate Theses, ISSN 1651-9256 ; 372
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:mdh:diva-69935 (URN)978-91-7485-700-9 (ISBN)
Presentation
2025-03-21, A2-004, Mälardalens universitet, Eskilstuna, 13:15 (English)
Opponent
Supervisors
Projects
IndTech, TRUST-SOS
Available from: 2025-01-28 Created: 2025-01-28 Last updated: 2025-01-28Bibliographically approved

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Fattouh, AnasAfshar, SaraBohlin, Markus

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