In April 2017 elon was planning to have 20 or 10k of model 3's per week by now. That was not the case as we all know. Maybe we should be receptive to the change of priorities that occur when a massive problem such as that one happen. The fate of Tesla as a company is very much ingrained on model 3 production, and just saying that this demonstration has had a massive delay in a vacuum, without the context of the situation is disingenuous. Also I would like to just put forth the question of who here drives everyday. The human body does not, as far as i'm aware, have a volumetric sensor such as lidar. I'm not saying that the use or not of the information isn't important, but we certainly can do it just fine. It's shortsighted that we're dictating the tools we should use to solve a problem before the fact. I shudder to think of the day where I reject an implementation of a system based on the tools used, and not actual performance. To say an approach is wrong because it doesn't use geometric analysis is short sighted, that Classifiers aren't that good is shortsighted.
