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Using AI in the Verification and Validation of Automated Driving Systems

Hungar, Hardi (2023) Using AI in the Verification and Validation of Automated Driving Systems. In: Bridging the Gap Between AI and Reality AISoLA 2023. Bridging the Gap Between AI and Reality. AISoLA 2023, 2023-10-23 - 2023-10-28, Kreta, Griechenland.

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Abstract

Automated vehicles must be carefully verified and validated for their type approval. This is an elaborate and complex task. It includes the analysis of data from the real world and from simulation, recognition of maneuvers in real-world data, detection and evaluation of criticality, construction of scenarios, compilation of scenario catalogs, different kinds of simulations, in particular the exploration of scenario spaces, and assignment of real-world data to scenarios. All of these tasks can be supported by AI techniques. This paper defines the respective problems and shows what role AI could play in their solution

Item URL in elib:https://elib.dlr.de/201587/
Document Type:Conference or Workshop Item (Speech)
Title:Using AI in the Verification and Validation of Automated Driving Systems
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Hungar, HardiUNSPECIFIEDhttps://orcid.org/0000-0001-6777-0614UNSPECIFIED
Date:26 October 2023
Journal or Publication Title:Bridging the Gap Between AI and Reality AISoLA 2023
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Editors:
EditorsEmailEditor's ORCID iDORCID Put Code
Steffen, BernhardTechnical University DortmundUNSPECIFIEDUNSPECIFIED
Status:Published
Keywords:Automated driving systems; verification and validation; AI for verification and validation
Event Title:Bridging the Gap Between AI and Reality. AISoLA 2023
Event Location:Kreta, Griechenland
Event Type:international Conference
Event Start Date:23 October 2023
Event End Date:28 October 2023
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 - V&V4NGC - Methoden, Prozesse und Werkzeugketten für die Validierung & Verifikation von NGC, R - Machine Learning
Location: Braunschweig
Institutes and Institutions:Institute of Transportation Systems > Verification and Validation, BS
Deposited By: Hungar, PD Dr. Hardi
Deposited On:05 Jan 2024 15:42
Last Modified:24 Apr 2024 21:02

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