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SUMMARY:Linaro/96 Boards: Innovation in Autonomous Driving powered by Open
  Source Heterogeneous Computing Platform - Yang Zhang - Director\, 96Board
 s\, Linaro. Co-Founder and Board of Director\, Autoware Foundation
DTSTART:20210126T130500Z
DTEND:20210126T135500Z
UID:TALK155458@talks.cam.ac.uk
CONTACT:Ben Karniely
DESCRIPTION:As software defined vehicles become a reality\, various censor
 ing technology\, AI algorithms have become a normal for a vehicle which is
  expected to be equipped with different levels of intelligence. We focus o
 n the computing platform which is used to implement such technology and ar
 gue the only way to achieve cost-effective\, power-efficient autonomous dr
 iving systems is to embrace heterogeneous computing architecture we are no
 w seeing from various silicon implementations.\n\nInstead of close-door en
 gineering\, we demonstrate through open collaboration and collective engin
 eering across different tiers in the ecosystem\, we are able to accelerate
  the development of technology required for autonomous systems. We showcas
 e how open standards can enable silicon vendors\, Tier 1 system integrator
 s and OEMs fast prototyping their PoC projects with a clear path for produ
 ction.\n\nWe also argue standard interface is required and beneficial for 
 various heterogeneous computing platforms to best protect the investment a
 t the application level of such systems. This is particular true for gener
 ic features such as safety\, redundancy deployed in various E/E architectu
 re.\n\nThrough 96Boards Automotive\, Autoware Foundation and their partner
 s\, we demonstrate how a real world autonomous driving system is built usi
 ng heterogeneous SoCs\, low cost and high power efficient system design wi
 th open source full stack software equipped with a clear path to functiona
 l safety production system.\n\nStudents\, researchers\, and entrepreneurs 
 can take advantage of the open source and open standard\, to innovate in t
 he core of the technology challenge presented to us in the autonomous driv
 ing domain.
LOCATION:Online
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