Introductory lecture of the MIT Self-Driving Cars series (6.S094) with an overview of the autonomous vehicle industry in 2018 and looking forward to 2019, 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. INFO: Website: https://deeplearning.mit.edu/ GitHub: https://github.com/lexfridman/mit-deep-learning Slides: http://bit.ly/2HLcQ4s Playlist: http://bit.ly/2S1MVdy OUTLINE: 0:00 - Introduction 1:53 - 2018 in review 4:49 - Fatalities 8:29 - Taxi services 10:54 - Predictions 16:55 - Human-centered autonomy 19:42 - Levels of autonomy and proliferation strategies 24:48 - Out-of-the-box ideas 27:28 - Who will be first? 29:26 - Historical context 31:05 - Underlying beliefs of the industry and public 32:32 - Driving is hard 35:32 - Humans are amazing 37:10 - Humans and automation don't mix well? 41:55 - Two approaches: Lidar vs Vision 49:54 - In the meantime… data 52:49 - The road ahead CONNECT: - If you enjoyed this video, please subscribe to this channel. - Twitter: https://twitter.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Instagram: https://www.instagram.com/lexfridman