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:
Intro: 0:00
Different approaches to autonomy: 9:59
Sensors: 38:36
Companies in the self-driving car space: 49:51
Opportunities for deep learning: 58:18
INFO:
Course website: https://selfdrivingcars.mit.edu
Contact: deepcars@mit.edu
Lecture 2 slides: https://goo.gl/eb8vea
Lecture 2 notes: https://goo.gl/wa8DnC
LINKS:
Playlist: https://goo.gl/SLCb1y
Lecture 1: Deep Learning - https://youtu.be/-6INDaLcuJY
Lecture 2: Self-Driving Cars - https://youtu.be/_OCjqIgxwHw
Lecture 3: Deep Reinforcement Learning (coming soon)
Lecture 4: Computer Vision (coming soon)
Lecture 5: Deep Learning for Human Sensing (coming soon)
Guest talk: Sacha Arnoud, Waymo - coming soon
Guest talk: Emilio Frazolli, nuTonomy - coming soon
Guest talk: Sterling Anderson, Aurora - coming soon
2017:
Guest talk: Sertac Karaman, MIT - https://youtu.be/0fLSf3NO0-s
Guest talk: Chris Gerdes, Stanford - https://youtu.be/LDprUza7yT4