DNN Challenges and Approaches for L4/L5 Autonomous Vehicles

Wednesday, May 22, 10:45 AM - 11:15 AM
Summit Track: 
Technical Insights I
Mission City B1-B5

The industry has made great strides in development of L4/L5 autonomous vehicles, but what’s available today falls far short of expectations set as recently as two to three years ago. To some extent, the industry is in a “we don’t know what we don’t know” state regarding the sensors and AI processing required for a reliable and practical L4/L5 solution. Research on new types of DNNs for perception is advancing rapidly, and solutions for planning are in their infancy. In this talk, we review important areas of uncertainty and survey some of the DNN approaches under consideration for perception and planning. We also explore the compute challenges associated with these DNNs.


Tom Wilson

VP Automotive, Graphcore

Tom has over 25 years of experience in the semiconductor industry, with almost 9 years in Advanced Driver Assistance and Autonomous Vehicles. At Graphcore, Tom is VP Automotive driving the automotive business for Graphcore’s unique AI processing architecture. Graphcore has introduced a revolutionary new processing architecture that lets innovators create the next breakthroughs in machine intelligence. Tom has a Bachelor of Science and a PhD from Carleton University Ottawa Canada.

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