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Vehicle Data Management System for Scenario-Based Validation of Automated Driving Functions

Klitzke, Lars and Koch, Carsten and Haja, Andreas and Köster, Frank (2021) Vehicle Data Management System for Scenario-Based Validation of Automated Driving Functions. Communications in Computer and Information Science, 1217, pp. 342-362. Springer. doi: 10.1007/978-3-030-68028-2. ISSN 1865-0929.

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Official URL: http://dx.doi.org/10.1007/978-3-030-68028-2_16

Abstract

Proving the functionality of AI-controlled automated vehicles is a challenging task due to the enormous overall complexity. Although a scenario-based validation approach is widely accepted in the literature, the identification of these scenarios is still an open issue. Real-world test drives are valuable data sources for this purpose. However, an automated system is required for data management and scenario identification to analyze the vast amount of data in a legitimate amount of time and effort. Therefore, this work proposes a modular multi-tier Vehicle Data Management System for large-scale test campaign management and analysis as the basis for scenario-based validation of automated driving functions. For system demonstration, lane-change maneuvers are identified and extracted, and an onboard DAS is evaluated with a real-world test drive sequence.

Item URL in elib:https://elib.dlr.de/145283/
Document Type:Article
Title:Vehicle Data Management System for Scenario-Based Validation of Automated Driving Functions
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Klitzke, LarsLars.Klitzke (at) dlr.dehttps://orcid.org/0000-0001-9362-707X
Koch, CarstenCarsten.Koch (at) hs-emden-leer.deUNSPECIFIED
Haja, Andreasandreas.haja (at) hs-emden-leer.deUNSPECIFIED
Köster, Frankfrank.köster (at) dlr.deUNSPECIFIED
Date:2021
Journal or Publication Title:Communications in Computer and Information Science
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Volume:1217
DOI :10.1007/978-3-030-68028-2
Page Range:pp. 342-362
Editors:
EditorsEmailEditor's ORCID iD
Helfert, MarkusUNSPECIFIEDUNSPECIFIED
Klein, CornelUNSPECIFIEDUNSPECIFIED
Donnellan, BrianUNSPECIFIEDUNSPECIFIED
Gusikhin, OlegUNSPECIFIEDUNSPECIFIED
Publisher:Springer
Series Name:Smart Cities
ISSN:1865-0929
Status:Published
Keywords:ADAS validation, Maneuver identification, Real-world test drives, Data enrichment, Scenario mining, Data Management System
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - NGC KoFiF
Location: Braunschweig
Institutes and Institutions:Institute of Transportation Systems > Information Gathering and Modelling, BS
Institute for AI Safety and Security
Deposited By: Klitzke, Lars
Deposited On:29 Nov 2021 17:36
Last Modified:29 Nov 2021 17:36

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