Saturday 16th January 2021

AI computing for automotive: The battle for autonomy

Published on June 16th, 2020

“AI is gradually invading our lives and this will be particularly true in the automotive world” asserts Yohann Tschudi, PhD, technology & market analyst, computing & software at Yole Developpement (Yole). “AI could be the central tool to achieve AD , in the meantime some players are afraid of overinflated hype and do not put AI at the centre of their AD strategy”.

The players that have grasped this aspect of the technology battle are already leading the race. The impact of COVID-19 is still uncertain, but Yole’s analysts can already affirm that it will have a profound effect – with autonomy-related research likely to slow down at least this year and next due to cash shortages.

In this context, the market research & strategy consulting company Yole releases today its new technology & market analysis: Artificial Intelligence Computing for Automotive 2020 report… What is the status of AI for automotive applications? Who are the players? What relationships exist within the ecosystem? Who will win the “autonomous battle”? Who are the key suppliers to watch, and what technologies do they provide? Yole presents today its vision of the AI computing industry for automotive applications.

As analysed by Yole’s team in the new Artificial Intelligence Computing for Automotive 2020 report, AI computing dedicated to the automotive market segment is divided between centralised platforms and vision processors.

According Pierrick Boulay, technology & market analyst, Solid-state Lighting at Yole: “We suggest that two paths are available: either a single computer-type NVIDIA or FSD, descending from the high-end segment of robotic vehicles (i.e. the “brain” of a car); or, the number of vision processors incorporating accelerators is multiplied, a path already embraced by several OEMs”…

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