Chapter
Progress and Challenges in Autonomous Transportation
1:10:22 - 1:17:18 (06:55)
The implementation of fully autonomous train systems in mass transit is in progress in the US, and while the potential to decrease the number of deaths from motor vehicle accidents is significant, the standard for safety is much higher for autonomous vehicles than for human drivers.
Clips
The irrationality and double standards around autonomous vehicles are discussed with a comparison to the number of deaths caused by human drivers every year in the US, and a prediction is made about public reaction to autonomous vehicles causing fatalities.
1:10:22 - 1:13:32 (03:09)
Summary
The irrationality and double standards around autonomous vehicles are discussed with a comparison to the number of deaths caused by human drivers every year in the US, and a prediction is made about public reaction to autonomous vehicles causing fatalities.
ChapterProgress and Challenges in Autonomous Transportation
Episode#217 – Rodney Brooks: Robotics
PodcastLex Fridman Podcast
The path to reaching fully autonomous transportation requires a complex engineering process that ensures safety and accessibility for passengers, such as double sets of doors at every station and tracks built to prevent intruders from accessing the system.
1:13:32 - 1:14:40 (01:08)
Summary
The path to reaching fully autonomous transportation requires a complex engineering process that ensures safety and accessibility for passengers, such as double sets of doors at every station and tracks built to prevent intruders from accessing the system.
ChapterProgress and Challenges in Autonomous Transportation
Episode#217 – Rodney Brooks: Robotics
PodcastLex Fridman Podcast
The acceptance of autonomous driving will not be at the same level as human drivers and it's unclear if infrastructure changes will be necessary.
1:14:40 - 1:17:18 (02:37)
Summary
The acceptance of autonomous driving will not be at the same level as human drivers and it's unclear if infrastructure changes will be necessary. While there were initial ideas for special purpose lanes, machine learning and vision-based methods may be sufficient for covering edge cases.