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Analysis of the Information Needs of an Autonomous Hauler in a Quarry Site
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Volvo Construction Equipment Eskilstuna, Sweden.ORCID iD: 0000-0002-0527-169X
Volvo Construction Equipment Eskilstuna, Sweden.ORCID iD: 0000-0002-2726-4503
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.ORCID iD: 0000-0001-8891-033X
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-3986-1196
2016 (English)In: IEEE 11th International Conference on System of Systems Engineering Conference SoSE2016, 2016, 7542936Conference paper, Published paper (Refereed)
Abstract [en]

Autonomous and intelligent construction equipment is an emergent area of research, which shares many characteristics with on-road autonomous vehicles, but also have fundamental differences. Construction vehicles usually perform repetitive tasks in confined sites, such as quarries, and cooperate with other vehicles to complete common missions. A quarry can be viewed as a system-of-systems and the vehicles are individual systems within the site system. Therefore it is important to analyze the site system, i.e. included vehicles, surrounding systems, and system context, before the introduction of autonomous vehicles. It is necessary to map the needed infrastructure, and the needed input information from on-board sensors and off-board information suppliers, before designing the vehicle electronics system. This paper describes how we identified sensory and input signal needs for an autonomous articulated hauler in a scenario at a quarry site. Different architectural alternatives are evaluated and a set-up for a quarry site is suggested.

Place, publisher, year, edition, pages
2016. 7542936
Keyword [en]
system-of-systems, autonomous vehicles, construction equipment, automotive systems
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-32877DOI: 10.1109/SYSOSE.2016.7542936ISI: 000389776900050Scopus ID: 2-s2.0-84985993616ISBN: 978-1-4673-8727-9 (print)ISBN: 978-1-4673-8726-2 (print)OAI: oai:DiVA.org:mdh-32877DiVA: diva2:956355
Conference
IEEE 11th International Conference on System of Systems Engineering Conference SoSE2016, 12-16 Jun 2016, Kongsberg, Norway
Projects
ITS-EASY Post Graduate School for Embedded Software and SystemsSARPA - Safe and Robust Platform for Automated Vehicles
Available from: 2016-08-30 Created: 2016-08-24 Last updated: 2017-01-05Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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