Authors:
Alex Granjean, Jordan Martin, Sylvestre Prabakaran, Badreddine Dibaj, Boussaad Soualmi
Keywords:
supervised traffic, long-drive simulation, safety scenarios, SOTIF
Abstract:
Martin J.; Granjean A.; Prabakaran S.; Dibaj B. and Soualmi B. Addressing SOTIF requirement for AD/ADAS through long-drive simulations In: Proceedings of the Driving Simulation Conference 2022 Europe VR, Driving Simulation Association, Strasbourg, France, 2022, pp. 57-64
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@inproceedings{Martin2022,
title = {Addressing SOTIF requirement for AD/ADAS through long-drive simulations},
author = {Jordan Martin and Alex Granjean and Sylvestre Prabakaran and Badreddine Dibaj and Boussaad Soualmi},
editor = {Andras Kemeny and Jean-Rémy Chardonnet and Florent Colombet},
year = {2022},
date = {2022-09-15},
booktitle = {Proceedings of the Driving Simulation Conference 2022 Europe VR},
pages = {57-64},
address = {Strasbourg, France},
organization = {Driving Simulation Association},
abstract = {Autonomous driving is one of the key challenges of the automotive field, requiring complex systems. Thus, the validation of AD/ADAS requires advanced techniques and technologies. Simulation became the cornerstone of the development and validation of such systems, while initiatives for standardization and validation such as SOTIF (Safety Of The Intended Functionality) are being developed. However, it is complicated to identify dangerous situations which are relevant for AD/ADAS validation. In this article, we propose a long-drive simulation, designed to explore the unknown/unsafe area defined in the SOTIF standard with a view to identify new and unknown scenarios and add them to the existing testing database. A long-drive simulation can last for hours with different modules observing, monitoring, and supervising its behavior to identify potential faults and/or relevant scenarios. When a situation is deemed interesting or hazardous for the system, it is extracted to be run as a short scenario. This article details the methodology, requirements and results obtained with this approach.},
keywords = {long-drive simulation, safety scenarios, SOTIF, supervised traffic},
}
Download .bib file
TY - CONF
TI - Addressing SOTIF requirement for AD/ADAS through long-drive simulations
AU - Martin, Jordan
AU - Granjean, Alex
AU - Prabakaran, Sylvestre
AU - Dibaj, Badreddine
AU - Soualmi, Boussaad
C1 - Strasbourg, France
C3 - Proceedings of the Driving Simulation Conference 2022 Europe VR
DA - 2022/09/15
PY - 2022
SP - 57
EP - 64
LA - en-US
PB - Driving Simulation Association
L2 - https://proceedings.driving-simulation.org/proceeding/dsc-2022/addressing-sotif-requirement-for-ad-adas-through-long-drive-simulations
ER -
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