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.
Subscribe: iTunes / Google Play / Spotify / RSS
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.
Thanks to Our Sponsor
Our autonomous vehicles series is sponsored by Mighty AI, and I’d like to take a moment now to thank them for their support. Mighty AI delivers training and validation data to companies building computer vision models for autonomous vehicles. Their platform combines guaranteed accuracy with scale and expertise, thanks to their full stack of annotation software, consulting and managed services, proprietary machine learning, and global community of pre-qualified annotators. If you haven’t caught my interview with their CEO Daryn Nakhuda in the last show, TWIML Talk #57, please make sure to check it out. And of course, be sure to visit them at www.mty.ai to learn more, and follow them at @mighty_ai.
If you will be in New York City next week, we hope you’ll join us at the NYU Future Labs AI Summit. As you may remember, we attended the inaugural Summit back in April, had a great time, and shared some great interviews, which we’ll link to in the show notes for your listening pleasure. This year’s event features more great speakers, including Corinna Cortes, Head of Research at Google NY, Davide Venturelli, Science Operations Manager at NASA Ames Quantum AI Lab, and Dennis Mortensen, CEO & Founder of startup x.ai. For the event homepage visit aisummit2017.futurelabs.nyc, and for 25% off of tickets, use code TWIML25. You can find links to this and more great events on our new events page at twimlai.com/events.
Mentioned in the Interview
- Direct Perception
- Princeton Computer Vision Lab
- Autonomous Vehicles Series Page
- NYU Future of AI Summit
- NYU Nexus Labs Series
- TWIML Talk #20 – Kathryn Hume
- TWIML Talk #21 – Ruchir Puri
- TWIML Talk #22 – Matt Zeiler
- Mighty AI
- Mighty AI on Twitter
- TWIML Events Page
- TWIML Meetup
- TWIML Newsletter