Chapter
Building Intuition for Autonomous Cars with Computer Vision
00:00 - 07:22 (07:22)
A developer explains how showing people the uncertainty in computer vision used in autonomous vehicles can help build an understanding of the capabilities of the system.
Clips
In this podcast episode, the conversation centers around the original vision for the Tesla Autopilot system when it was first released in 2014, and the potential benefits of camera-based driver monitoring as a part of AI assisted driving.
00:00 - 04:45 (04:45)
Tesla Autopilot
Summary
In this podcast episode, the conversation centers around the original vision for the Tesla Autopilot system when it was first released in 2014, and the potential benefits of camera-based driver monitoring as a part of AI assisted driving.
ChapterBuilding Intuition for Autonomous Cars with Computer Vision
EpisodeElon Musk: Tesla Autopilot
PodcastLex Fridman Podcast
The uncertainty in computer vision, such as road segmentation and detection of objects, can be powerful in helping people develop intuition of the system's capabilities, which is then translated into vector space with properties like lane lines and traffic lights for more accurate processing.
04:45 - 07:22 (02:37)
Computer Vision
Summary
The uncertainty in computer vision, such as road segmentation and detection of objects, can be powerful in helping people develop intuition of the system's capabilities, which is then translated into vector space with properties like lane lines and traffic lights for more accurate processing.