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Authors: Lars Klitzke 1 ; Carsten Koch 1 ; Andreas Haja 1 and Frank Köster 2

Affiliations: 1 Hochschule Emden/Leer, University of Applied Sciences, Department of Electronics and Informatics, Emden and Germany ; 2 German Aerospace Center (DLR), Institute of Transportation Systems, Braunschweig and Germany

ISBN: 978-989-758-374-2

Keyword(s): Scenario Mining, Automated Driving Functions, Validation, Large-scale Test Drives, Data Management System.

Abstract: For the validation of autonomous driving systems, a scenario-based assessment approach seems to be widely accepted. However, to verify the functionality of driving functions using a scenario-based approach, all scenarios that may be relevant for the validation have to be identified. Real-world test drives are mandatory to find relevant and critical scenarios. However, the identification of scenarios and the management of the captured data requires computational assistance to validate driving functions with reasonable effort. Therefore, this work proposes a highly-modularised multi-layer Vehicle Data Management System to manage and support analysing large-scale test campaigns for the scenario-based validation of automated driving functions. The system is capable of aggregating the vehicle sensor data to time-series of scenes by utilising temporal discretisation. Those scenes will be enriched with information from various external sources, providing the foundation for efficient scenario mining. The practical usefulness of the proposed system is demonstrated using a real-world test drive sequence, by finding lane-change scenarios and evaluating an onboard system. (More)

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Paper citation in several formats:
Klitzke, L.; Koch, C.; Haja, A. and Köster, F. (2019). Real-world Test Drive Vehicle Data Management System for Validation of Automated Driving Systems.In Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-374-2, pages 171-180. DOI: 10.5220/0007720501710180

@conference{vehits19,
author={Lars Klitzke. and Carsten Koch. and Andreas Haja. and Frank Köster.},
title={Real-world Test Drive Vehicle Data Management System for Validation of Automated Driving Systems},
booktitle={Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2019},
pages={171-180},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007720501710180},
isbn={978-989-758-374-2},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Real-world Test Drive Vehicle Data Management System for Validation of Automated Driving Systems
SN - 978-989-758-374-2
AU - Klitzke, L.
AU - Koch, C.
AU - Haja, A.
AU - Köster, F.
PY - 2019
SP - 171
EP - 180
DO - 10.5220/0007720501710180

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