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Authors: Thomas Ponn 1 ; Dirk Fratzke 2 ; Christian Gnandt 2 and Markus Lienkamp 1

Affiliations: 1 Institute of Automotive Technology, Technical University of Munich, Boltzmannstraße 15, Garching bei München and Germany ; 2 Autonomous Driving & ADAS, T ÜV S ÜD Auto Service GmbH, Daimlerstraße 11, Garching bei München and Germany

Keyword(s): Automated Driving, Advanced Driver Assistance Systems, Test Case Generation, Safety Assessment, Homologation.

Abstract: Automation of the driving task continues to progress rapidly. In addition to improving the algorithms, proof of their safety is still an unsolved problem. For an automated driving function that does not require permanent monitoring by the driver, a theoretically infinite number of possible traffic situations must be tested. One promising method to overcome this problem is the scenario-based approach. This approach shall enable an economic certification of automated driving functions with sufficient test space coverage. However, even with this approach, the selection of the scenarios to be tested is still problematic. The first step is to consider a driver assistance system in order to reduce complexity. For the Lane Keeping Assist System under consideration, this paper defines a methodology as well as the scenarios for a comprehensive yet economically-feasible certification. Economical-feasibility of the presented methodology is shown in the results by an approximation of the resulti ng simulation costs for executing the defined test cases. (More)

CC BY-NC-ND 4.0

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Paper citation in several formats:
Ponn, T.; Fratzke, D.; Gnandt, C. and Lienkamp, M. (2019). Towards Certification of Autonomous Driving: Systematic Test Case Generation for a Comprehensive but Economically-Feasible Assessment of Lane Keeping Assist Algorithms. In Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS; ISBN 978-989-758-374-2; ISSN 2184-495X, SciTePress, pages 333-342. DOI: 10.5220/0007678603330342

@conference{vehits19,
author={Thomas Ponn. and Dirk Fratzke. and Christian Gnandt. and Markus Lienkamp.},
title={Towards Certification of Autonomous Driving: Systematic Test Case Generation for a Comprehensive but Economically-Feasible Assessment of Lane Keeping Assist Algorithms},
booktitle={Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS},
year={2019},
pages={333-342},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007678603330342},
isbn={978-989-758-374-2},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS
TI - Towards Certification of Autonomous Driving: Systematic Test Case Generation for a Comprehensive but Economically-Feasible Assessment of Lane Keeping Assist Algorithms
SN - 978-989-758-374-2
IS - 2184-495X
AU - Ponn, T.
AU - Fratzke, D.
AU - Gnandt, C.
AU - Lienkamp, M.
PY - 2019
SP - 333
EP - 342
DO - 10.5220/0007678603330342
PB - SciTePress