Perception Models for Self Driving Cars with Jianxiong Xiao

EPISODE 58
LISTEN
Banner Image: Jianxiong Xiao - Podcast Interview

Join our list for notifications and early access to events

About this Episode

We are back with our second show this week, episode 2 of our Autonomous Vehicles Series. This time around we are joined by Jianxiong Xiao of AutoX, a company building computer vision centric solutions for autonomous vehicles. Jianxiong, a PhD graduate of MIT's CSAIL Lab, joins me to discuss the different layers of the autonomous vehicle stack and the models for machine perception currently used in self-driving cars.

If you're new to the autonomous vehicles space I'm confident you'll learn a ton, and even if you know the space in general, you'll get a glimpse into why Jianxiong thinks AutoX's direct perception approach is superior to end-to-end processing or mediated perception.

Connect with Jianxiong
Read More

Related Episodes

Related Topics

More from TWIML

Leave a Reply

Your email address will not be published. Required fields are marked *