Before an autonomous vehicle can be road ready, manufacturers are required to train their ADAS with an enormous amount of real environment data. All of which needs to be collected beforehand via large fleets of sensor-equipped test vehicles over many journeys.

To make these masses of data accessible to all relevant stakeholders, it must be uploaded to ever-present storage and cloud infrastructure. As high data quality is essential for efficiently training the ADAS, the data is ideally pre-processed by intelligent software algorithms running on high-performance servers.

But how and where can those tasks be handled? Together with NTT, IBM and Incenda AI, b-plus answered questions on how autonomous vehicle training data can be recorded, pre-processed, stored and uploaded into the cloud. Download the whitepaper now and learn more about this holistic approach.

In an additional webcast, the highly experienced technology partners were brought together to give a talk about the „Data Garage“. Alexander Noack from b-plus gave insights to the data recording on the road.