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System Integration Testing ofAdvanced Driver Assistance Systems
KTH, School of Electrical Engineering (EES), Automatic Control.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [sv]

En viktig faktor for att fortsatta forbattra traksakerheten ar genom att utveckla ochimplementera avancerade forarstodsfunktioner (ADAS) i fordon. Gemensamma aspekterhos de undersokta ADAS ar deras formagor att detektera och undvika farliga traksituationergenom att nyttja sensordata och fordonstillstand for att kontrollera fordonetsforyttning. Nya testmetoder maste overvagas eftersom nyutvecklade ADAS ar mer komplexaoch sakerhetskritiska. Detta arbete undersoker hur man kan testa nya ADAS fran etthelfordonsperspektiv, genom att bland annat ta hansyn till aspekter sasom lampliga testomgivningaroch trakscenarier, och darefter jamfora resultaten med nuvarande testmetoder.Olika typer av ADAS klassikationer har undersokts och kombinerat med egna komplexitetsoch traksakerhets klassikationer har gjort det mojligt att dra slutsatser och foreslagenerella teststrategier for olika ADAS.

Abstract [en]

A key factor to further improve road safety is the development and implementation ofAdvanced Driver Assistance Systems (ADAS) in vehicles. Common aspects of the investigatedADAS' are their abilities of detecting and avoiding hazardous trac situations byusing sensor data and vehicle states in order to control the movement. As more complex andsafety critical ADAS are developed, new test methods have to be considered. This thesisinvestigate how to test new ADAS from a complete vehicle level by considering aspects suchas suitable test environments and trac scenarios, and thereafter compare the results withexisting testing methods. Dierent classications of ADAS have been investigated and combinedwith own classications considering complexity and trac safety aspects, have madeit possible to conclude and propose general test strategies for dierent ADAS.

Place, publisher, year, edition, pages
2015. , 50 p.
Series
EES Examensarbete / Master Thesis
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-175371OAI: oai:DiVA.org:kth-175371DiVA: diva2:860599
Examiners
Available from: 2015-10-13 Created: 2015-10-13 Last updated: 2015-10-13Bibliographically approved

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Electrical Engineering, Electronic Engineering, Information Engineering

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • Other style
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Language
  • de-DE
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  • en-US
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  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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