Machine Learning for Virtual Vehicle Development (CAE & VR)

Machine Learning for Virtual Vehicle Development

25 February 2021 | Virtual Live B2B Event

OVERVIEW

How Automotive Simulation Engineers can benefit from Machine Learning.
It is a challenging time for the automotive industry. Digitalization, Electromobility and Autonomous Driving are transforming the automotive landscape. Today, as never bevor, an intelligent virtual development process and short innovation cycles are necessary to stay competitive. New ways are being explored to handle upcoming trends and requirements. Despite theories of Machine Learning have existed since over six decades, the automotive industry is still only at the beginning of the AI disruption. The event for simulation, virtual reality and data science experts will show latest technologies and applications and offer space for discussions about potentials or barriers of new development approaches.

TOPICS

Challenges and solutions for Machine Learning approaches supporting Computer-Aided-Engineering (CAE) and Virtual Reality (VR):

Pre-processing: simulation model creation, parameterization, ...
Training of simulation models and solver algorithms, ...
Object labeling
Monitoring of simulation runs and test environments, ...
Post-processing: data evaluation, data analytics, ...
AI for Autonomous Driving

AGENDA

8:30 a.m. CET
Arrival of the Guests and Virtual Face-to-Face Networking

9:00 a.m. CET

Welcome & Motivation

9:15 - 9:40 a.m. CET
How AI can Learn from AI Through Simulation
Prof. Dr.-Ing. Philipp Slusallek | German Research Center for Artificial Intelligence, DFKI

9:40 - 10:05 a.m. CET

Consolidating Stakeholder Interests – How Machine Learning can Bridge the Gap Between Design and Engineering
Dr.-Ing. Matthias Bauer | NAVASTO GmbH

10:05 - 10:30 a.m. CET
From CAD to Decision Metrics in a Second: How Deep-Learning will Solve the Time to Market Challenge in the Automotive Industry
Dr. Pierre Baqué | Neural Concept SA

10:30-10:55 a.m. CET
Automated Machine Learning for Supporting Vehicle Design: The Case of a Global Sensitivity Matrix
Jana Büttner | Dr. Ing. h.c. F. Porsche AG
Prof. Dr. Thomas Bäck | Leiden University / divis intelligent solutions GmbH

10:55 - 11:25 a.m. CET
Break Out Session - Interactive Round Tables

11:25 - 11:50 a.m. CET
ML-assisted Data Understanding and Data Curation for Engineers
Dr. Stefan Suwelack | Renumics GmbH

11:50 – 12:15 p.m. CET
A Data-Driven Mesh Quality Assistant based on Subjective Labeling
Dr. Joachim Sprave | Mercedes-Benz AG

12:15-12:40 p.m. CET
Leveraging Machine Learning for CAE
Fatma Kocer | Altair Engineering GmbH

12:40 - 1:05 p.m. CET
Break Out Session - Interactive Discussion
Moderation: Stefan Suwelack

1:05 - 1:45 p.m.
Lunch Break

1:45 - 2:10 p.m. CET
Battery Safety in Critical Crash Scenarios
Dr. Jean-Louis Duval | ESI Group

2:10 - 2:35 p.m. CET
Detecting Simulation Deviations in Many Crash-Simulations
Dr. Rodrigo Iza Teran | Fraunhofer-Institut SCAI

2:35 - 3:00 p.m. CET
Presentation of a Method for Data Exploration in Crash Simulations using Dimensionality Reduction and Clustering of Crash Behavior
David Kracker | Dr. Ing. h.c. F. Porsche AG

3:00 - 3:25 p.m. CET
A Framework for Simulation Data Analysis which Considers the Requirements for ML/AI
Claudius Schöne | GNS - Gesellschaft für numerische Simulation mbH

3:25 - 4:00 p.m. CET
Break Out Session - Podium Discussion
Moderation: Prof. Dr. Christoph Runde, VDC Fellbach w.V.

1:45 - 2:10 p.m. CET
Machine Learning based Testing and Validation of Automated Vehicles
Felix Batsch | Connected and Automated Automotive Research (CCAAR) Coventry University / HORIBA-MIRA

2:10 - 2:35 p.m. CET
Simulation Toolchain as an Enabler for Machine Learning in the Context of Autonomous Vehicles
Dr. techn. Kmeid Saad | Ansys Germany GmbH

2.35 - 3:00 p.m. CET
Experiences from Generating Synthetic Image Data for Machine Learning-based Pedestrian Recognition
Thomas Stauner, BMW AG

3:00 - 3:25 p.m. CET
Modeling of High-level Driving Decisions from Naturalistic Driving Data for Multi-agent Traffic Simulation
Christian Contreras-Campana, PhD | Automotive Artificial Intelligence GmbH

3:25 - 4:00 p.m. CET
Break Out Session - Podium Discussion
Moderation: Lutz Morich, Audi AG

4:00 p.m. CET
Final Remarks
End of the event