TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Klitzke, Lars
A1  - Koch, Carsten
A1  - Haja, Andreas
A1  - Köster, Frank
T1  - Real-world Test Drive Vehicle Data Management System for Validation of Automated Driving Systems
T2  - Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems VEHITS
N2  - 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.
KW  - Scenario Mining
KW  - Automated Driving Functions
KW  - Validation
KW  - Large-scale Test Drives
KW  - Data Management System
Y1  - 2019
SN  - 2184-495X
SS  - 2184-495X
SN  - 978-989-758-374-2
SB  - 978-989-758-374-2
U6  - https://doi.org/10.5220/0007720501710180
DO  - https://doi.org/10.5220/0007720501710180
N1  - 5th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS), 03.05-05.05.2019, Heraklion (Greece)
IS  - 1
SP  - 171
EP  - 180
ER  -