Chapter
Autonomy and Edge Cases in Driving
10:37 - 16:04 (05:27)
Understanding and learning from edge cases is crucial in developing autonomy in driving. Although hardware that is capable of full-self driving exists, there is still a lot of valuable data to learn from in order to improve the technology.
Clips
The value of data collected from autonomous driving comes from the edge cases as opposed to common scenarios, that's where software learns and becomes better.
10:37 - 13:05 (02:28)
Autonomous Driving
Summary
The value of data collected from autonomous driving comes from the edge cases as opposed to common scenarios, that's where software learns and becomes better. Assertion of control in case of lane change, exit, or highway interchange is one of the valuable cases to learn from.
ChapterAutonomy and Edge Cases in Driving
EpisodeElon Musk: Tesla Autopilot
PodcastLex Fridman Podcast
Tesla's autonomy technology is capable of full-self driving, making it an appreciating asset.
13:05 - 16:04 (02:59)
Tesla Autonomy Technology
Summary
Tesla's autonomy technology is capable of full-self driving, making it an appreciating asset. Tesla's software capabilities will increase and reliability will improve over time, and eventually receive regulatory approval.