The research project jbDATA, where b-plus is one of the partners, is setting new standards in the development of AI applications for autonomous driving. Its goal is to significantly enhance the efficiency and accuracy of data generation for AI models.
Introducing an innovative Smart Data Loop, jbDATA facilitates efficient data collection directly within the vehicle. The initiative focuses on filtering, pre-sorting, and augmenting data with synthetic inputs upon capture, generating highly precise and fair datasets. This approach promises a revolution in the quality and efficiency of data needed for training autonomous driving systems.
jbDATA shifts data evaluation to the edge, meaning directly into the vehicle, moving away from the traditional practice of uploading all data to the cloud. This strategic realignment reduces energy consumption and storage needs while simultaneously optimizing the relevance and quality of data for AI training.
Within the jbDATA project, b-plus, along with eight other partners, works on developing and implementing technologies to extract precise and fair datasets from the vast amounts of data generated while driving. The data obtained are intended not only for use within the consortium but also to benefit the broader research community, enhancing the safety and efficiency of autonomous driving systems.
With the deployment of test vehicles and the Smart Data Loop, the project is already tackling the data of tomorrow today. jbDATA represents a turning point towards safer and more reliable autonomous vehicles, driven by precisely and efficiently generated data.
b-plus's involvement in this advanced research project highlights the company's commitment to leading technological development in the field of autonomous driving. Stay tuned to learn more about the groundbreaking progress jbDATA is making in the world of autonomous driving!
More information on the research project can be found at justbetterdata.de
