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Intelligent Driving System effectiveness testing in Highly Automated Vehicles

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978-963-449-225-2 _ 04.pdf (1.395Mb)
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http://hdl.handle.net/20.500.14044/40386
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  • Könyvrészletek [286]
Abstract
The autonomous vehicles will appear on the road as soon as possible in the future. But first, the developers need to think about the highly automated vehicles and conventional vehicles. Because they may conflict with each other during transport, that is why required to use various safety, and security features in environment sensing become increasingly important. These automated functions support the drivers and replace them in specific movements. For the safe ride, the vehicles need to recognize the environment very accurately. The automotive industry can make an environment sensing system safely with a design test scenario in many types of critical tests. There are some advantages and disadvantages of autonomous test types, but it is always useful. This paper demonstrates our test scenario (which is on the ZalaZONE proving ground in Hungary) with three kinds of highly automated vehicles, focus on driver assistance applications such as traffic sign recognition. We provide in this article some examples of the extreme factors, considerations, and roadside anomalies that require testing and validation of sensor systems.
 
The autonomous vehicles will appear on the road as soon as possible in the future. But first, the developers need to think about the highly automated vehicles and conventional vehicles. Because they may conflict with each other during transport, that is why required to use various safety, and security features in environment sensing become increasingly important. These automated functions support the drivers and replace them in specific movements. For the safe ride, the vehicles need to recognize the environment very accurately. The automotive industry can make an environment sensing system safely with a design test scenario in many types of critical tests. There are some advantages and disadvantages of autonomous test types, but it is always useful. This paper demonstrates our test scenario (which is on the ZalaZONE proving ground in Hungary) with three kinds of highly automated vehicles, focus on driver assistance applications such as traffic sign recognition. We provide in this article some examples of the extreme factors, considerations, and roadside anomalies that require testing and validation of sensor systems.
 
Title
Intelligent Driving System effectiveness testing in Highly Automated Vehicles
xmlui.dri2xhtml.METS-1.0.item-description-titlenumber
4.
Author
Lengyel, Henrietta
Szalay, Zsolt
xmlui.dri2xhtml.METS-1.0.item-contributor-editor
Horváth, Richárd
Beke, Éva
Stadler, Róbert Gábor
xmlui.dri2xhtml.METS-1.0.item-date-issued
2020
xmlui.dri2xhtml.METS-1.0.item-rights-access
Open access
xmlui.dri2xhtml.METS-1.0.item-other-conferenceTitle
Mérnöki Szimpózium a Bánkin előadásai
xmlui.dri2xhtml.METS-1.0.item-other-conferenceDate
2020. November 19.
xmlui.dri2xhtml.METS-1.0.item-language
en
xmlui.dri2xhtml.METS-1.0.item-format-page
12 p.
xmlui.dri2xhtml.METS-1.0.item-subject-oszkar
traffic signs anomalies, highly automated conflicts, environment recognition
xmlui.dri2xhtml.METS-1.0.item-description-version
Kiadói változat
xmlui.dri2xhtml.METS-1.0.item-other-containerTitle
Mérnöki Szimpózium a Bánkin előadásai (Proceedings of the Engineering Symposium at Bánki)
xmlui.dri2xhtml.METS-1.0.item-other-containerPeriodicalYear
2020
xmlui.dri2xhtml.METS-1.0.item-other-containerIdentifierIsbn
978-963-449-225-2
xmlui.dri2xhtml.METS-1.0.item-type-type
Konferenciaközlemény
xmlui.dri2xhtml.METS-1.0.item-subject-area
Műszaki tudományok - közlekedés- és járműtudományok
xmlui.dri2xhtml.METS-1.0.item-publisher-university
Óbudai Egyetem
xmlui.dri2xhtml.METS-1.0.item-publisher-faculty
Bánki Donát Gépész és Biztonságtechnikai Mérnöki Kar

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