Final Event

We are pleased to invite you to the jbDATA Final Event on 20 May 2026 in Schwalbach am Taunus.

Final Event

We are pleased to invite you to the jbDATA Final Event on 20 May 2026 in Schwalbach am Taunus.
Over the past three years, just better DATA has pioneered the Smart Data Loop, a systematic and efficient approach to provide high quality data for the development, testing and validation of advanced automotive systems, including AI driven solutions for autonomous driving.
 
Join us for a day filled with insights into our project results and collaborative workshops exploring future directions. Experience interactive demo sessions that bring tomorrow’s innovations to life by showcasing the Smart Data Loop hands-on, from edge-side operations within the vehicle and cloud‑based orchestration and processing through to continuous model improvement via retraining and deployment.
 
Date: 20 May 2026
Location:
Aumovio Germany GmbH, Sodener Str. 9, 65824 Schwalbach am Taunus
Format: In-person event
Cost: Free of charge
 
Let’s celebrate progress and possibilities together!

Over the past three years, just better DATA has pioneered the Smart Data Loop, a systematic and efficient approach to providing high quality data for the development, testing and validation of advanced automotive systems, including AI driven solutions for autonomous driving.

We invite you to experience a day full of insights into our results, collaborative workshops on what lies ahead and exciting demo sessions to make the future tangible.

Date: 20 May 2026
Location: 
Aumovio, Schwalbach am Taunus
Format: In-person event
Cost: Free of charge

Let’s celebrate progress and possibilities together!  

Agenda

8:15Registration & Welcome Coffee
9:00Welcome by Consortia Lead
Azarm Nowzad, Aumovio
9:15Welcome by Funding Office
Heiko Krause, TÜV Rheinland Group
9:30Two Perspectives: Leading the way to End-2-End Data Selection
Dr. Claudio Longo, Head of Innovation, Aumovio
Prof. Dr. Fabian Flohr, Professor of Machine Learning, Hochschule München
10:15jbDATA – The Project
Subproject Leads
11:30Lunch Break
12:15Introduction: Data Loop and Demonstration Session
12:30Demonstration Session: Walk through the Data Loop
Experience interactive demo sessions that bring tomorrow’s innovations to life by showcasing the Smart Data Loop hands-on, from edge-side operations within the vehicle and cloud‑based orchestration and processing through to continuous model improvement via retraining and deployment.
14:00Deep Dive & Workshop Overview
14:15Deep Dive Sessions

Deep Dive 1 - Smart Data Curation: Can we detect corner cases before they hit the road?
Are you still training on yesterday’s failures or tomorrow’s unknowns?


This session explores how corner cases can be detected, analyzed, and prioritized early by moving beyond closed‑loop validation toward open‑loop, data‑driven learning.

Participants will gain insights into:
- Detecting corner cases before real‑world deployment
- Analyzing driving data through an ODD‑centric lens
- Using VLMs and LLMs to structure, explain, and scale long‑tail learning

Deep Dive 2 - Edge Software Stack and Cloud Integration

How can we monitor, manage, and reconfigure a smart edge platform through cloud integration?
This session provides a deep dive into the software stack on the smart edge platform and its seamless integration with the cloud. It explores how edge components generate, process, and expose metadata, and how these data streams are continuously transferred to the cloud for monitoring, analysis, and orchestration.

Participants will gain insights into:
- Core software components and services deployed on the edge platform
- Continuous metadata streaming from edge to cloud
- Cloud‑based monitoring, diagnostics, and lifecycle management of edge systems
- Enabling adaptive reconfiguration and scalable operation across distributed edge devices
- This workshop highlights how a tightly coupled edge–cloud architecture is essential for operating data‑driven, intelligent systems at scale.
15:30Coffee Break
16:00Workshop Sessions

Workshop 1 - From Data to Dataset: How can we create high-quality, reusable datasets for AI?

Using the jbDATA tools and dataset as examples, this workshop explores practical approaches to create high-quality datasets for AI development. It addresses challenges such as data selection, publication, and legal requirements, including GDPR. Participants will gain insights into lessons learned during the project and discover how the jbDATA dataset can support future research and industrial applications.

Workshop 2 - Synthetic Data: A Strategic Framework for Modern AI
This workshop invites participants to explore key topics shaping the future of synthetic data, including the development of robust synthetic data strategies—from selecting appropriate generation techniques to ensure reliable data validation. The session also addresses the extent to which synthetic LiDAR data can approximate real-world measurements and the methods used to validate it, as well as the capability of synthetic LiDAR simulations to accurately replicate real sensor behavior. Participants will gain insights into current challenges, lessons learned, and the potential of synthetic data for future research and industry use.
17:15Outlook and Perspectives:

From Data Sharing to Shared Intelligence - Unlocking Industrial Collaboration

Lukas Elster, Persival
Fabian Flohr, Hochschule München
Jörg Reichardt, AUMOVIO
Ole Salschneider, SafeAD
Torsten Stiehm, DXC Luxoft
17:45Acknowledgements & Farewell
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