Podcasts Technology The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Perception Models for Self-Driving Cars with Jianxiong Xiao - TWiML Talk #58

Perception Models for Self-Driving Cars with Jianxiong Xiao - TWiML Talk #58

Published: Oct. 25, 2017, 7:43 p.m.

b'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\\u2019s 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\\u2019re new to the autonomous vehicles space I\\u2019m confident you\\u2019ll learn a ton, and even if you know the space in general, you\\u2019ll get a glimpse into why Jianxiong thinks AutoX\\u2019s direct perception approach is superior to end-to-end processing or mediated perception. The notes for this show can be found at twimlai.com/talk/58 For Series info, visit twimlai.com/av2017'