S4WRXTTCS
Well-Known Member
(general silliness, not directed at you)
Huh, Tesla needs more pedestrian data?? I wonder where they could collect that? Where on earth they could find a lot of instances of cars and people in close quarters, and how could they get people to identify them while accepting low speed travel (just in case).![]()
But, this perfectly illustrates the general frustration I have with Tesla.
They have a massive install base, but they barely take advantage of it.
With Smart Summon path planning they rely on OpenStreetMaps which is perfectly fine, but they don't have any mechanism to update those maps. The car doesn't update the maps based on what it sees when it attempts to drive the path. It will do the same path as many times as you try it.
If you update OpenStreetmaps yourself then within 72 hours (or so) the car has much better path planning. So updating openstreetmaps clearly works great, and worked for a lot of us including myself. It's the only way I could get smart summon to work halfway decently.
So why didn't Tesla incorporate any way of updating openstreetmaps themselves? Especially considering the night and day difference it makes?
Clearly we know from the failure of pedestrian detection that they haven't been using fleet learning to improve their pedestrian detection system because it would perform better than typical ADAS cars on the road.
We also know they have problems with maps that they don't seem to be using fleet learning to fix.
Like an example of this would be the speed limit in various areas. I think it's pretty easy to deduce when a speed limit is wrong if the speed people travel on it is vastly different than what the maps say.
To me it doesn't feel like Tesla is doing the very things that Karpathy talks about.
Now granted some of them are going to be kind hard. To collect data from the fleet you have to have trigger for the car to collect this data. How can you create a trigger for something the car doesn't know how to detect?
You might also be able to collect data for certain levels of uncertainty like "I'm 50% sure this is a kid". But, it's entirely possible you might never get data from the fleet for exactly what you're looking for. Where you need to have a lot of humans reviewing footage looking for whatever you're trying to improve. Where that footage was triggered by other events like when the car thinks the path forwards is fine, but the driver slammed on the brakes.
It does look like Tesla is trying to improve their data collection. Like recently I've seen (but, not in my car) screenshots of Tesla asking the user what caused a disengagement.
The problem with disengagements is sometimes its because the car really does something wrong, and other times the driver simply wants to take over. Over 50% of my take over events are simply because I wanted to take over, and was too lazy to bother doing it properly.