Journeys on the Edge: ADAS, Data and Edge Computing

Xevo John Cordell
Chief Product Officer, Xevo

Hundreds of millions of connected cars with hundreds of sensors per car generate vast amounts of data, and sending all that data to the cloud to produce instant results is not feasible.

  • Analyze how data from AVs can be best processed i.e. on board, cloud etc. to enable a much less data- intensive decision process for critical vehicle functions
  • Consider how edge computing can be utilized to overcome the shortfalls of cloud based storage i.e. latency issues
  • Understand how AI and machine learning models can utilize a combination of edge computing, the cloud, and in-car technology for maximum data efficiency

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