AI-powered ADAS and AD systems are getting more complex with every iteration. New sensors, higher resolution cameras and increasingly sophisticated deep learning algorithms have substantial computational requirements. Traditionally, they have relied on compute resources in the cloud. But as systems get more advanced, relying on the cloud alone carries significant risk to systems that are supposed to work in real time under significant cost, space and power constraints. So how do we deal with this reality?

Enter Edge AI. An elegant solution that helps process part of the input from various sensors locally, rather than in the cloud. In other words, ‘at the edge’. 

In this episode of the AI in Automotive podcast, we are joined by Orr Danon, CEO of Hailo Technologies, a company that is bringing powerful edge AI solutions to the automotive industry. Hailo’s technology and processor have the capability to process several high-resolution video inputs in real time with low latency, without impacting the accuracy of the algorithm.

Orr and I dig deeper into what exactly edge AI is, what advantages it delivers and what its relevance is to ADAS and AD systems. We also talk about the future of autonomous driving, and discuss how the levels of autonomy might evolve in the future. 

I hope you enjoy our chat today as much as I did recording it with Orr. If you do, do give our podcast a shout on your social media, or share a link with your friends and colleagues.

AI in Automotive Podcast