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Exploring Dynamic Map Validation at Construction Sites: A Case Study and Feasibility Analysis
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation. Volvo Construction Equipment, Eskilstuna, Sweden.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 Construction Equipment, Eskilstuna, Sweden.
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.ORCID iD: 0000-0003-1597-6738
2024 (English)In: IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, Institute of Electrical and Electronics Engineers (IEEE) , 2024, p. 3865-3871Conference paper, Published paper (Refereed)
Abstract [en]

Construction sites are moving towards using autonomous machines, such as autonomous haulers, to improve productivity and safety. However, enabling efficient and safe navigation of autonomous haulers at an open-pit mining site necessitates a dynamic map of the environment. In our previous works, we introduced a dynamic multi-layered map designed for this purpose. Subsequently, we proposed how to adopt the digital twin standard for manufacturing to implement this map. Yet, the proposed dynamic multi-layered map needs to be validated in real-world scenarios, which are not evident for such off-road domains. This paper presents an analysis of the state-of-practice scenarios used in validating current static maps for a fleet of autonomous haulers performing assigned missions in real-world open-pit mining applications. Drawing from insights from this case study and industrial expertise, this paper suggests validation scenarios for the multi-layer dynamic map. Moreover, the paper discusses simulation tools that could be utilized to assess the feasibility of dynamic maps in such off-road domains at construction sites

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2024. p. 3865-3871
Series
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, ISSN 21530009
Keywords [en]
Autonomous haulers, Case study, Construction site, Dynamic Maps, Fleet management, Off-road domain, Simulation, Validation, Fleet operations, Highway administration, Off road vehicles, Project management, Autonomous hauler, Case-studies, Construction sites, Multi-layered, Open-pit mining, Open pit mining
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:mdh:diva-71108DOI: 10.1109/ITSC58415.2024.10919540Scopus ID: 2-s2.0-105001670142ISBN: 9798331505929 (print)OAI: oai:DiVA.org:mdh-71108DiVA, id: diva2:1952406
Conference
27th IEEE International Conference on Intelligent Transportation Systems, ITSC 2024, Edmonton, Canada, 24-27 September 2024
Available from: 2025-04-15 Created: 2025-04-15 Last updated: 2025-04-16Bibliographically approved

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Wickberg, PhilipFattouh, AnasBohlin, Markus

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