Recording high-bandwidth data from dozens of different sensors and in-vehicle networks remains one of the most complex challenges at the very beginning of the ADAS and Autonomous Driving (AD) validation workflow. While technical challenges like tight synchronization down to the microsecond, streaming data at gigabytes per second and storing everything without the loss of a single bit over hours is at the forefront of engineering’s attention – there is more that needs to be mastered!

The volume of data has been exploding and continues for grow to petabytes per month for fleets of data logging vehicles. Moving these large datasets into a cloud and IT infrastructure consumes valuable time in the race to market and – not to forget – enormous budgets to fund and maintain these data lakes.

Novel, subscription-based business models which only make you pay for what you use, smart triggering only capturing scenes of interest and lossless FPGA-based data compression to reduce the data stream already at the very beginning provided by an ecosystems of global subject matter experts mark examples on how to overcome these challenges.

In this webinar, learn how NI and its partners Seagate Technology and Konrad Technologies have come together to solve the need for accelerating time to data as part of the data logging workflow, while keeping data quality and value up, leading to the ultimate – reducing the total cost of data.

Join us, as we will go on a real ride together during our demonstration to explore how your data record strategy can become part of a data and software connected validation workflow, leading to performance improvements of your ADAS / AD products and accelerated time to market.

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