Bringing trust in data for raw data acquisition for ADAS/AD


3 Main Takeaways
 

  • Understand why data is key in future ADAS/AD development efforts
  • See how reliable data recording leads to a trusted data set
  • Identify concrete steps to better data quality

     

General
 

  • Course type: Video Training
  • Language: English

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Description


Developments for ADAS/AD platforms are increasingly moving to an architecture, where data is key. The complete functionality is based on acquired data along with simulations resulting in synthetic data. At the same time increasing hacker attacks show the vulnerability of companies R&D. In addition to that, data protection regulations are implemented stronger and more consistently.These are good reasons to keep the data trustworthy - including correctness, completeness, encryption. At the same time, rising resolution and number of sensors need high performance due to 100 Gbit/s plus sensor bandwidth.This talk gives an overview with hard- and software function blocks on mobile edge units for trustworthy and performant recording of the data during the test-drive from the sensor to the cloud.

 

Speaker

Adrian Bertl
Strategic Product Manager