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:
deeplearning.mit.edu
GitHub:
github.com/lexfridman/mit-deep-learning
Slides:
dropbox.com/s/7in6e07mqiynvqi/self_driving_cars_state_of_the_art.pdf
Playlist:
MIT Self-Driving Cars
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
