<story><title>Andrej Karpathy (Tesla): CVPR 2021 Workshop on Autonomous Vehicles [video]</title><url>https://www.youtube.com/watch?v=eOL_rCK59ZI&amp;t=28293s</url></story><parent_chain></parent_chain><comment><author>nightski</author><text>It&amp;#x27;s interesting that an academic conference now feels like a marketing op for industrial research labs more than anything.  His claims about how accurate their vision system is and how it is exceeding other sensors is not verifiable in any way to the public.  Given how well qualified he is I am sure he is not wrong!  Andrej is brilliant.  But this is an academic conference right?  This isn&amp;#x27;t open science, it&amp;#x27;s a discussion about an engineered system. I&amp;#x27;m afraid this is the future of ML research (which CV is so heavily dependent on now).  Long gone are the days of reading a paper and understanding the approach.  Now you need the data and model which may not even be computationally feasible without millions of dollars in hardware.  This isn&amp;#x27;t Tesla&amp;#x27;s fault or anything, it just makes me sad.</text></comment>
<story><title>Andrej Karpathy (Tesla): CVPR 2021 Workshop on Autonomous Vehicles [video]</title><url>https://www.youtube.com/watch?v=eOL_rCK59ZI&amp;t=28293s</url></story><parent_chain></parent_chain><comment><author>Robotbeat</author><text>He made a very good argument for vision-only, but it seems like training actually uses radar data to help calibrate vision measurements, so it seems to me there’s value in making some vehicles still contain radar (say, one out of 10) even if it’s not used for controlling the vehicle directly at drive time.&lt;p&gt;Also, the sensor resolution issue he mentioned could be addressed by using a higher resolution radar sensor.&lt;p&gt;I find the list of 221 triggers to be interesting. In principle, the NHTSA or NTSB could help contribute lists of triggers to companies to validate their training sets on.&lt;p&gt;Every time there is a fatal airliner accident, the NTSB does a safety investigation and airliners get a little bit safer each time. In the same way, each fatal accident in a vehicle with this kind of autonomy could end up being captured by these triggers, improving safety over time in a sort of mixture between expert human analysis and ML.&lt;p&gt;(Nobody does this for all regular car crashes because fatal car crashes happen every day! And you’re not going to retrain human drivers about some new edge case every day, although you can for vehicles like this.)</text></comment>