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MIT Self-Driving Cars (2018)
5 segments available
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-deep-learning CONNECT: - If you enjoyed this video, please subscribe to this channel. - AI Podcast: https://lexfridman.com/ai/ - Show your support: https://www.patreon.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Twitter: https://twitter.com/lexfridman - Facebook: https://www.facebook.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - Slack: https://deep-mit-slack.herokuapp.com 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 - https://youtu.be/MQ6pP65o7OM Lecture 4: Computer Vision - https://youtu.be/CLOAswsxudo Lecture 5: Deep Learning for Human Sensing - https://youtu.be/Z2GfE8pLyxc Guest talk: Sacha Arnoud, Waymo - https://youtu.be/LSX3qdy0dFg Guest talk: Emilio Frazolli, nuTonomy - https://youtu.be/dWSbItd0HEA Guest talk: Sterling Anderson, Aurora - https://youtu.be/HKBhP9JISF0 2017: Guest talk: Sertac Karaman, MIT - https://youtu.be/0fLSf3NO0-s Guest talk: Chris Gerdes, Stanford - https://youtu.be/LDprUza7yT4
Segments Timeline
Intro
"welcome back to six at zero night for deep learning for self-driving cars today we will talk about autonomous vehicles also referred to as driverless cars autonomous cars Robo cars first the utopian v..."
Different approaches to autonomy
"different approaches to autonomy we'll talk about sensors afterwards we'll talk about companies players in this space and then we'll talk about AI and the actual algorithms and how they can help solve..."
Sensors
"the sources of raw data that we'll get to work with there three there's cameras so image sensors RGB infrared visual data does radar and ultrasonic and there's lidar let's discuss the strengths first ..."
Companies in the self-driving car space
"playing in the space some of them are speaking here lame-o in April 2017 they exited their testing their extensive impressive testing process and allow the first rider in Phoenix Public rider in Novem..."
Opportunities for deep learning
"we'll get into the details of the coming lectures on each individual component I'd like to give some examples the key areas problem spaces that we can use machine learning to solve from data his local..."