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Conference object . 2022
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License: CC BY
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Article . 2022
License: CC BY
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Pure VTT Finland
Conference object . 2022
Data sources: Pure VTT Finland
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Operating scenarios for testing Automated Driving Systems in challenging conditions

Authors: Anastasia Bolovinou; Christina Anagnostopoulou; Hendrik Weber; Innamaa Satu; Johannes Hiller; Angelos Amditis; Jean Louis Sauvaget;

Operating scenarios for testing Automated Driving Systems in challenging conditions

Abstract

During planning of a prototype automated driving system's (ADS) testing, the operating scenarios of the systems to be tested are usually described in an abstract, linguistic way as a function of the system's Operational Design Domain (ODD). In this paper, a methodology for operating scenarios definition that integrates ODD conditions under focus, as developed in the European project Hi-Drive, will be presented. For this pur pose, two sub-types of ODD specification will be considered for testing the integration of a Hi-Drive enabler technology in the ADS under test: a) the ODD for testing “AD performance”, in which we test if higher AD performance and prolonged AD usage can be achieved under nominal ODD conditions and b) an extended ODD for testing “AD availability”, where additional challenging operating conditions are tested which extend the nominal ODD of the AD system under test. 

Country
Finland
Keywords

Operational Design Domain, Automated Driving

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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