Credibility of simulations for the validation and homologation of ADAS systems

@inproceedings{Attou2025,
title = {Credibility of simulations for the validation and homologation of ADAS systems},
author = {Otmane Attou and Boussad Soualmi and Didier Gauthereau and Hakim Mohellebi
},
editor = {Andras Kemeny and Jean-Rémy Chardonnet and Florent Colombet and Stéphane Espié},
doi = {https://doi.org/10.82157/dsa/2025/12},
isbn = {978-2-9573777-7-0},
year  = {2025},
date = {2025-09-24},
urldate = {2025-09-24},
booktitle = {Proceedings of the Driving Simulation Conference 2025 Europe XR},
pages = {105-110},
address = {Stuttgart, Germany},
organization = {Driving Simulation Association},
abstract = {The increasing reliance on simulation for validating Advanced Driver Assistance Systems (ADAS) highlights the need for rigorous credibility assessment methods. This paper offers an in-depth analysis of the Simulation Credibility Framework proposed by the European Commission, which defines structured processes for managing, verifying, validating, and qualifying simulation models used in regulatory contexts. We detail each pillar of the framework—model management, verification, validation, and analysis of uncertainties—and the associated credibility metrics. To demonstrate its practical implementation, we apply the methodology to a virtual validation case study involving an Advanced Emergency Braking System (AEBS). Starting from a logical scenario, we define model requirements and evaluate simulation outputs using scalar, graphical, and time-series comparisons against physical test data. The study illustrates how the framework supports traceability, quantification of uncertainties, and consistency with regulatory expectations. Our findings show that this structured approach enhances confidence in simulation-based evidence and supports its adoption in ADAS homologation workflows. The methodology presented serves as a reference for industrial stakeholders aiming to align simulation practices with safety-critical validation processes in the automotive domain.
},
keywords = {},
}

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TY  - CONF
TI  - Credibility of simulations for the validation and homologation of ADAS systems
AU  - Attou, Otmane
AU  - Soualmi, Boussad
AU  - Gauthereau, Didier
AU  - Mohellebi, Hakim
C1  - Stuttgart, Germany
C3  - Proceedings of the Driving Simulation Conference 2025 Europe XR
DA  - 2025/09/24
PY  - 2025
SP  - 105
EP  - 110
LA  - en-US
PB  - Driving Simulation Association
SN  - 978-2-9573777-7-0
L2  - https://proceedings.driving-simulation.org/proceeding/dsc-2025/credibility-of-simulations-for-the-validation-and-homologation-of-adas-systems
ER  - 

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