Self-Driving Cars 2021: The Latest Industry Insights 🚗

Introductory lecture of the MIT Self-Driving Cars series (6.S094) with an overview of the autonomous vehicle industry in 2020 and looking forward to 2021, including Waymo, Tesla, Cruise, Ford, GM, and out-of-the-box ideas of boring tunnels, flying cars, connected vehicles, and more. This covers the state of the art in terms of industry developments and not the perception and planning algorithm development. The latter will be covered in detail in future lectures. For more lecture videos on deep learning, reinforcement learning (RL), artificial intelligence (AI & AGI), and podcast conversations, visit our website or follow TensorFlow code tutorials on our GitHub repo.<br /><br />INFO:<br />Website: https://deeplearning.mit.edu<br />GitHub: https://github.com/lexfridman/mit-dee...<br />Slides: http://bit.ly/2HLcQ4s <br />Playlist: http://bit.ly/2S1MVdy<br /><br />OUTLINE:<br />0:00 - Introduction<br />1:53 - 2018 in review<br />4:49 - Fatalities<br />8:29 - Taxi services<br />10:54 - Predictions<br />16:55 - Human-centered autonomy<br />19:42 - Levels of autonomy and proliferation strategies<br />24:48 - Out-of-the-box ideas<br />27:28 - Who will be first?<br />29:26 - Historical context<br />31:05 - Underlying beliefs of the industry and public<br />32:32 - Driving is hard<br />35:32 - Humans are amazing<br />37:10 - Humans and automation don't mix well?<br />41:55 - Two approaches: Lidar vs Vision<br />49:54 - In the meantime… data<br />52:49 - The road ahead