methodik-zur-effizienten-applikation-automatisierter-fahrfunktionen.pdf

The work introduces a method for an efficient calibration of automated driving functions. The method is based on an initial limitation of the relevant parameter space for the optimization of function behaviour. Furthermore, a sensitivity based optimization is presented, which provides optimal soluti...

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Γλώσσα:German
Έκδοση: KIT Scientific Publishing 2024
Διαθέσιμο Online:https://doi.org/10.5445/KSP/1000167619
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spelling oapen-20.500.12657-900062024-04-23T02:23:01Z Methodik zur effizienten Applikation automatisierter Fahrfunktionen Fraikin, Nicolas calibration; parameter; Sensitivity analyses; Optimization; Automated Driving; Applikation; Parameter; Sensitivitätsanalysen; Optimierung; Automatisiertes Fahren thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials The work introduces a method for an efficient calibration of automated driving functions. The method is based on an initial limitation of the relevant parameter space for the optimization of function behaviour. Furthermore, a sensitivity based optimization is presented, which provides optimal solution with a high maturity level. Finally, a hybrid vehicle model (based on a single track model and a neuronal network) is described, which enables a high accuracy and short simulation times. 2024-04-22T10:26:36Z 2024-04-22T10:26:36Z 2024 book https://library.oapen.org/handle/20.500.12657/90006 ger Karlsruher Schriftenreihe Fahrzeugsystemtechnik application/pdf Attribution 4.0 International methodik-zur-effizienten-applikation-automatisierter-fahrfunktionen.pdf https://doi.org/10.5445/KSP/1000167619 KIT Scientific Publishing 10.5445/KSP/1000167619 10.5445/KSP/1000167619 44e29711-8d53-496b-85cc-3d10c9469be9 113 234 open access
institution OAPEN
collection DSpace
language German
description The work introduces a method for an efficient calibration of automated driving functions. The method is based on an initial limitation of the relevant parameter space for the optimization of function behaviour. Furthermore, a sensitivity based optimization is presented, which provides optimal solution with a high maturity level. Finally, a hybrid vehicle model (based on a single track model and a neuronal network) is described, which enables a high accuracy and short simulation times.
title methodik-zur-effizienten-applikation-automatisierter-fahrfunktionen.pdf
spellingShingle methodik-zur-effizienten-applikation-automatisierter-fahrfunktionen.pdf
title_short methodik-zur-effizienten-applikation-automatisierter-fahrfunktionen.pdf
title_full methodik-zur-effizienten-applikation-automatisierter-fahrfunktionen.pdf
title_fullStr methodik-zur-effizienten-applikation-automatisierter-fahrfunktionen.pdf
title_full_unstemmed methodik-zur-effizienten-applikation-automatisierter-fahrfunktionen.pdf
title_sort methodik-zur-effizienten-applikation-automatisierter-fahrfunktionen.pdf
publisher KIT Scientific Publishing
publishDate 2024
url https://doi.org/10.5445/KSP/1000167619
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