autonomous-vehiclesAutonomous Vehicles

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Author: Ian Riches
Publication Date: Aug 19 2020
Pages: 9
 Report Type: Report, Word

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Report Summary:

Mobileye has engaged Strategy Analytics as a partner in the preparation of this report to explore the hypothesis that “TOPs” (Trillions of Operations per Second) is not as useful a metric as it may initially seem in evaluating the performance of an Autonomous Vehicle Compute Platform.  This paper examines the pitfalls in traditional performance benchmarks for AV compute platforms and makes recommendations on best-practices. 
Table of Contents

  1. Executive Summary
  2. Introduction
  3. AV Compute is More Than Deep Neural Networks
  4. GPUs Bring Limitations
  5. High TOPs Equals High Power Consumption
  6. Don’t Forget the Software!
  7. ADAS to Autonomous Scalability is Important
  8. “Low-TOPs” Processors Offer Headroom as Well
  9. Conclusions

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