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== Abstract ==
 
== Abstract ==
  
Part 3: Practical Applications International audience Within this paper we present a new concept on deriving test cases from simulation data and outline challenging tasks when testing and validating fully automated driving functions and Advanced Driver Assistance Systems (ADAS). Open questions on topics like virtual simulation and identification of relevant situations for consistent testing of fully automated vehicles are given. Well known criticality metrics are assessed and discussed with regard to their potential to test fully automated vehicles and ADAS. Upon our knowledge most of them are not applicable to identify relevant traffic situations which are of importance for fully automated driving and ADAS. To overcome this limitation, we present a concept including filtering and rating of potentially relevant situations. Identified situations are described in a formal, abstract and human readable way. Finally, a situation catalogue is built up and linked to system requirements to derive test cases using a Domain Specific Language (DSL).
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Part 3: Practical Applications; International audience; Within this paper we present a new concept on deriving test cases from simulation data and outline challenging tasks when testing and validating fully automated driving functions and Advanced Driver Assistance Systems (ADAS). Open questions on topics like virtual simulation and identification of relevant situations for consistent testing of fully automated vehicles are given. Well known criticality metrics are assessed and discussed with regard to their potential to test fully automated vehicles and ADAS. Upon our knowledge most of them are not applicable to identify relevant traffic situations which are of importance for fully automated driving and ADAS. To overcome this limitation, we present a concept including filtering and rating of potentially relevant situations. Identified situations are described in a formal, abstract and human readable way. Finally, a situation catalogue is built up and linked to system requirements to derive test cases using a Domain Specific Language (DSL).
  
 
Document type: Part of book or chapter of book
 
Document type: Part of book or chapter of book
  
 
== Full document ==
 
== Full document ==
<pdf>Media:Draft_Content_282915430-beopen1049-5406-document.pdf</pdf>
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<pdf>Media:Sippl_et_al_2016a-beopen4739-1576-document.pdf</pdf>
  
  
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The different versions of the original document can be found in:
 
The different versions of the original document can be found in:
  
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* [https://hal.inria.fr/hal-01643731/file/419911_1_En_12_Chapter.pdf https://hal.inria.fr/hal-01643731/file/419911_1_En_12_Chapter.pdf] under the license https://creativecommons.org/licenses/by
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* [http://link.springer.com/content/pdf/10.1007/978-3-319-47443-4_12 http://link.springer.com/content/pdf/10.1007/978-3-319-47443-4_12],
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* [https://hal.inria.fr/hal-01643731 https://hal.inria.fr/hal-01643731],
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* [https://link.springer.com/chapter/10.1007%2F978-3-319-47443-4_12 https://link.springer.com/chapter/10.1007%2F978-3-319-47443-4_12],
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: [https://dx.doi.org/10.1007/978-3-319-47443-4_12 https://dx.doi.org/10.1007/978-3-319-47443-4_12],
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: [https://academic.microsoft.com/#/detail/2528601381 https://academic.microsoft.com/#/detail/2528601381] under the license http://creativecommons.org/licenses/by/

Latest revision as of 08:06, 2 February 2021

Abstract

Part 3: Practical Applications; International audience; Within this paper we present a new concept on deriving test cases from simulation data and outline challenging tasks when testing and validating fully automated driving functions and Advanced Driver Assistance Systems (ADAS). Open questions on topics like virtual simulation and identification of relevant situations for consistent testing of fully automated vehicles are given. Well known criticality metrics are assessed and discussed with regard to their potential to test fully automated vehicles and ADAS. Upon our knowledge most of them are not applicable to identify relevant traffic situations which are of importance for fully automated driving and ADAS. To overcome this limitation, we present a concept including filtering and rating of potentially relevant situations. Identified situations are described in a formal, abstract and human readable way. Finally, a situation catalogue is built up and linked to system requirements to derive test cases using a Domain Specific Language (DSL).

Document type: Part of book or chapter of book

Full document

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Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1007/978-3-319-47443-4_12 under the license cc-by
https://hal.inria.fr/hal-01643731/document,
https://hal.inria.fr/hal-01643731/file/419911_1_En_12_Chapter.pdf under the license http://www.springer.com/tdm
https://www.scipedia.com/public/Sippl_et_al_2016a,
https://dx.doi.org/10.1007/978-3-319-47443-4_12,
http://dx.doi.org/10.1007/978-3-319-47443-4_12,
https://hal.inria.fr/hal-01643731/document,
https://dblp.uni-trier.de/db/conf/pts/ictss2016.html#SipplBWAG16,
https://hal.inria.fr/IFIP-LNCS-9976/hal-01643731,
https://rd.springer.com/chapter/10.1007/978-3-319-47443-4_12,
https://academic.microsoft.com/#/detail/2528601381 under the license http://creativecommons.org/licenses/by/
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Published on 01/01/2016

Volume 2016, 2016
DOI: 10.1007/978-3-319-47443-4_12
Licence: CC BY-NC-SA license

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