Real-world Test Drive Vehicle Data Management System for Validation of Automated Driving Systems

Lars Klitzke, Carsten Koch, Andreas Haja, Frank Köster

2019

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.

Paper Citation

in Harvard Style

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

in Bibtex Style

@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},
}

in EndNote Style

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