"To me right now, this seems 'game, set, and match,'" Musk said. "I could be wrong, but it appears to be the case that Tesla is vastly ahead of everyone."
I am eager to see what they unveil today.
https://www.google.com/url?sa=i&source=web&cd=&ved=2ahUKEwiR...
And Elon has a long history of making false claims about Tesla’s progress. For example in 2015 and 2016 he claimed that Teslas would be fully self-driving by 2018.
So why shouldn’t we be skeptical?
https://arstechnica.com/cars/2019/03/teslas-self-driving-str...
Your "third party research" is obviously bullshit, they go as far as including Apple in their ranking.
This right here is just typical worthless marketing press release spam from a management consultancy firm.
No one knows if Tesla strategy will work because they don't have the data collection in place.
They have no way to store or transmit the massive data you are describing off the platform do they?
My understanding is that they have very limited storage and transmit onboard.
I mean saying a phone can upload videos to youtube but a can can't to tesla is a weird ledge to stand on. Even their windshield wipers work based on sending video data to tesla to be learned on.
Your link:
> According to Electrek, Tesla trails behind other companies in terms of autonomous driving tech based on a list created by Navigant Research, an independent research firm.
Electrek’s article:
> Electrek’s Take
> I think Navigant’s autonomous leaderboard is ridiculous. There are way too many brands that keep most of their development under wraps, which makes it hard to evaluate them and therefore, it gives very little value to a leaderboard like this in my opinion.
Electrek is not exactly unbiased. It's literally called EV and Tesla news. Fanboi site's opinion should probably be taken with a grain of salt.
Here's the Navigant executive summary directly: https://www.navigantresearch.com/reports/navigant-research-l...
The Waymo end-game that I heard was "able to go through a drive-thru". I highly doubt Tesla is anywhere near that point.
(1) https://m.heise.de/autos/artikel/Test-Tesla-Model-3-4400919....
Basically, most other manufacturers like Opel, Audi, Mercedes, Hyundai, VW, Volvo, Ford, etc. has had for several years the feature to detect speed limit from computer vision recognizing the road signs. And it works reliably, as is pointed out in your link.
How can Tesla be a leader in using computer vision for cars, but not be able to read the road signs?
The kind of drive-thru that Tesla is currently associated with involves semis rather than fast food and it would be really nice to hear that they've at least licked that particular bug (and for good, this time).
Your point it very astute.
Among a few other ML/AI MOOCs, I completed Udacity's "Self-Driving Car Engineer" nanodegree - so when I'm out driving, I often come upon situations where I wonder "how would a self-driving car navigate this?"
Today, driving in to work (note: USA), I noticed one intersection I've been through many times before, and that question came to mind. The intersection is interesting, because on approaching it, the road curves to the right, and you can actually see one of the traffic lights on the left before you even see the intersection. By the time you see the intersection, you're already on top of it.
So as you round the curve, you see the lone traffic signal (red/yellow/green); if it is red, do you start to brake, or do you wait until you can "see" more traffic signals? If you wait - will you have time to slow down and/or stop? ...and so forth.
This and others are all kind of "edge cases" that will need to be trained on, and/or perhaps other cues for self-driving vehicles installed or set up so the vehicles can navigate such areas successfully. I know when I first went through the intersection it was a bit of a surprise; it's not a very safe intersection (going home in the opposite direction is not any better; in that direction, you're headed downhill, have to cross the intersection, and immediately start turning to the left after going through - the curve is really abrupt, and you have protected/unprotected left-hand turns both directions, etc).
Other than for accidents, the SEC investigation, etc.
I can imagine that police could mine this just like they're doing with Google geolocation data.
Except that it isn't, and even Karpathy said the quantity doesn't matter, it's the data quality.
Yes, two of the autonomous vehicle leaders are not using any data whatsoever.
I thought this was the smartest forum on the internet?
Notice the cherry-picked examples in the presentation. There is a whole class of problems the field cars can never help with, since they lack the dead-reckoning sensor setup and precise odometry a development car would have.
Can you give an example? I'm curious what kind of triggers strictly require lab-calibrated hardware.
It was mind boggling. I am hoping Tesla can provide some specifics today because it seems Elon is living in a fantasy world (albeit one I'd like to live in if we can actually get safe self-driving cars).
also I can't reconcile how the new hardware is this huge leap ahead beyond raw computing power if, by Tesla own claims, previous hardware was perfectly capable of autonomous driving.
seems people were getting fooled either now or before.