Intelligent Driving System effectiveness testing in Highly Automated Vehicles
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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