A Systematic Approach of Reduced Scenario-based Safety Analysis for Highly Automated Driving Function

Marzana Khatun, Michael Glaß, Rolf Jung

2021

Abstract

This paper investigates the scenario catalog generation and scenario reduction approaches for a complete Highly Automated Driving Function (HADF). Such approaches focus on the clustering and/or grouping of scenarios by applying a simple stochastic process at an early stage of development. Dealing with an enormous number of scenarios considering Functional Safety (FuSa), Safety Of The Intended Functionality (SOTIF) including cybersecurity desires intelligent approaches for HADF’s scenario reduction. The reduction of scenarios in HADF is a challenge for automotive researchers since it relates to a large number of parameters (like environmental aspects). The main contributions of the scenario generation and reduction approach proposed in this work are the following: (1) contribution to a complete scenario catalog for a dedicated HADF, (2) logical scenario optimization with parameter distribution, and (3) optimize discretization step for finding semi-concrete scenarios that can be executed. Furthermore, the optimization method incorporating the Monte-Carlo (MC) experiment with the CarMaker simulation yields a systematic approach to modeling reduced scenarios without redundancy to support safety.

Paper Citation

in Harvard Style

Khatun M., Glaß M. and Jung R. (2021). A Systematic Approach of Reduced Scenario-based Safety Analysis for Highly Automated Driving Function. In Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-513-5, pages 301-308. DOI: 10.5220/0010397403010308

in Bibtex Style

@conference{vehits21,
author={Marzana Khatun and Michael Glaß and Rolf Jung},
title={A Systematic Approach of Reduced Scenario-based Safety Analysis for Highly Automated Driving Function},
booktitle={Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2021},
pages={301-308},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010397403010308},
isbn={978-989-758-513-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - A Systematic Approach of Reduced Scenario-based Safety Analysis for Highly Automated Driving Function
SN - 978-989-758-513-5
AU - Khatun M.
AU - Glaß M.
AU - Jung R.
PY - 2021
SP - 301
EP - 308
DO - 10.5220/0010397403010308