Published On Jan 20, 2018
This is lecture 2 of course 6.S094: Deep Learning for Self-Driving Cars (2018 version). This class is free and open to everyone. It is an introduction to the practice of deep learning through the applied theme of building a self-driving car.
OUTLINE:
0:00 - Intro
9:59 - Different approaches to autonomy
38:36 - Sensors
49:51 - Companies in the self-driving car space
58:18 - Opportunities for deep learning
INFO:
Slides: http://bit.ly/2HeCLkF
Website: https://selfdrivingcars.mit.edu
GitHub: https://github.com/lexfridman/mit-dee...
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LINKS:
Playlist: https://goo.gl/SLCb1y
Lecture 1: Deep Learning - • MIT 6.S094: Deep Learning
Lecture 2: Self-Driving Cars - • MIT Self-Driving Cars (2018)
Lecture 3: Deep Reinforcement Learning - • MIT 6.S094: Deep Reinforcement Learning
Lecture 4: Computer Vision - • MIT 6.S094: Computer Vision
Lecture 5: Deep Learning for Human Sensing - • MIT 6.S094: Deep Learning for Human S...
Guest talk: Sacha Arnoud, Waymo - • Sacha Arnoud, Director of Engineering...
Guest talk: Emilio Frazolli, nuTonomy - • Emilio Frazzoli, CTO, nuTonomy - MIT ...
Guest talk: Sterling Anderson, Aurora - • Sterling Anderson, Co-Founder, Aurora...
2017:
Guest talk: Sertac Karaman, MIT - • Sertac Karaman (MIT) on Motion Planni...
Guest talk: Chris Gerdes, Stanford - • Chris Gerdes (Stanford) on Technology...