Efficient and highly accurate data generation for
AI applications
in the field of autonomous driving
Efficient and highly accurate data generation for AI applications in the field of autonomous driving

For the training of AI applications in the field of autonomous driving, innovative technologies are required to extract highly accurate, characteristic, and unbiased datasets from a large amount of data.
just better DATA develops and implements a Smart Data Loop to efficiently collect relevant data, process it appropriately at the edge, and industrially utilize it. The data is filtered and pre-sorted during recording in the vehicle, qualified, pre-processed, and annotated. Data gaps and edge cases are identified, and synthetic data is enriched wherever necessary and meaningful. The project also explores automated anonymization of data, emphasizing the project’s principle of fair data generation.

For the training of AI applications in the field of autonomous driving, innovative technologies are required to extract highly accurate, characteristic, and unbiased datasets from a large amount of data.
just better DATA develops and implements a Smart Data Loop to efficiently collect relevant data, process it appropriately at the edge, and industrially utilize it. The data is filtered and pre-sorted during recording in the vehicle, qualified, pre-processed, and annotated. Data gaps and edge cases are identified, and synthetic data is enriched wherever necessary and meaningful. The project also explores automated anonymization of data, emphasizing the project’s principle of fair data generation.

Projekt

jbDATA closes another gap on the road to safe autonomous driving.

Concept

With the Smart Data Loop, jbDATA shifts the data center from the Cloud to the Edge

Publications

jbDATA shares work results and project progress with the public.

Updates from and around jbDATA

3rd Consortium Meeting of jbDATA

The progress of the jbDATA Smart Data Loop and the latest research results from the project were presented by the project partners on 12/13 June 2024.

jbDATA: Effective use of data for industrial research and development

With regard to autonomous and connected driving (AVF), data must be treated with great care, as it is essential for training AI models. jbDATA addresses questions and works on a data set.

just better DATA kick-off on 12.07.2023 in Regensburg

The just better DATA project commenced on July 1, 2023. In the kick-off meeting held on July 12 and 13 at the Consortium Leader Continental ...

Project Consortium

Facts & Figures

Project Budget

14.45 Million Euros

Consortium Leader

Dr. Azarm Nowzad

Continental

Consortium

8 Partners

OEMs, Automotive Suppliers, Research Institutes, Technology Partners

Funding Volume

8.61 Million Euros

Duration

36 Months

July 1, 2023, to June 30, 2026

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