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Training Data-hungry AI Algorithms

  • Magazine Article
  • 20AVEP09_05
Published September 01, 2020 by SAE International in United States
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  • English

Large-scale data refinement is key to bringing more sophisticated automated-driving functions to series production.

Training the algorithms of Artificial Intelligence (AI)-based systems for autonomous or highly automated driving requires enormous volumes of data to be captured and processed. The algorithms must be able to master numerous challenges so that self-driving cars can detect all essential details of their environment, make the right decisions and safely take people to their destination.

Why does training require this much data? AI-based systems enable quick progress, but this progress slows down after a certain point. It must be ensured that systems can also sensibly and reliably handle rare events. Bringing sophisticated AI-based driving functions to the road safely therefore requires a growing amount of ever higher-quality data.