Validating multi-sensor object tracking in Heavy-Duty Trucks with extended trailer dynamics for road traffic situations

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dc.contributor.authorAdu-Kyere, Akwasi
dc.contributor.authorNigussie, Ethiopia
dc.contributor.authorIsoaho, Jouni
dc.contributor.authorRonkainen, Jukka
dc.contributor.authorKyytinen, Arto
dc.contributor.organizationfi=kyberturvallisuusteknologia|en=Cyber Security Engineering|
dc.contributor.organizationfi=tietotekniikan laitos|en=Department of Computing|
dc.contributor.organization-code1.2.246.10.2458963.20.28753843706
dc.contributor.organization-code1.2.246.10.2458963.20.85312822902
dc.converis.publication-id457187506
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/457187506
dc.date.accessioned2025-08-27T21:51:35Z
dc.date.available2025-08-27T21:51:35Z
dc.description.abstractMulti-sensing technologies in vehicles have the potential to improve road and pedestrian safety. Freighting trucks with extended trailer face challenges in urban maneuvering due to limited visibility. In this paper, we evaluate and validate extended trailer dynamics for Heavy-Duty Trucks in road traffic situations with multi-sensor object tracking emphasizing trailer dynamics, back-end parameters, and characteristics that influence decision-making strategies. A custom in-vehicle compute unit, in combination with the onboard truck’s computer, facilitated this research.
dc.format.pagerange167
dc.format.pagerange174
dc.identifier.jour-issn1877-0509
dc.identifier.olddbid201285
dc.identifier.oldhandle10024/184312
dc.identifier.urihttps://www.utupub.fi/handle/11111/47895
dc.identifier.urlhttps://doi.org/10.1016/j.procs.2024.06.012
dc.identifier.urnURN:NBN:fi-fe2025082785316
dc.okm.affiliatedauthorAdu-Kyere, Akwasi
dc.okm.affiliatedauthorNigussie, Ethiopia
dc.okm.affiliatedauthorIsoaho, Jouni
dc.okm.discipline113 Computer and information sciencesen_GB
dc.okm.discipline113 Tietojenkäsittely ja informaatiotieteetfi_FI
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA4 Conference Article
dc.publisher.countryNetherlandsen_GB
dc.publisher.countryAlankomaatfi_FI
dc.publisher.country-codeNL
dc.relation.conferenceInternational Conference on Ambient Systems, Networks and Technologies Networks
dc.relation.doi10.1016/j.procs.2024.06.012
dc.relation.ispartofjournalProcedia Computer Science
dc.relation.volume238
dc.source.identifierhttps://www.utupub.fi/handle/10024/184312
dc.titleValidating multi-sensor object tracking in Heavy-Duty Trucks with extended trailer dynamics for road traffic situations
dc.title.bookThe 15th International Conference on Ambient Systems, Networks and Technologies Networks (ANT) / The 7th International Conference on Emerging Data and Industry 4.0 (EDI40), April 23-25, 2024, Hasselt University, Belgium
dc.year.issued2024

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