Appeared to work for me too. Not 30 seconds though, at which point I gave up, but ~ an hour later it had downloaded.
I just did this in my Y, and the update is downloading now. I did this last update too.It worked for me as well on our MX and our MS. Thank you James!!!
Going to the software screen, worked for me also. Stopped at 50% for 15 minutes. Was it doing a checksum? Took it for a drive. Seems a little bit better. Still makes mistakes every half mile.It worked for me as well on our MX and our MS. Thank you James!!!
Agree with all of the above. Roundabouts still non-functional for me. Entering roundabout for third exit, it totally stopped for southbound vehicle still 25 yards outside roundabout. Nearly rear-ended by car following me through roundabout. Ignores dips in road as well as speed bumps. Hitting speed bump at 30 mph with heavy MX is actually quite exciting!
I will stick with it, however….they can do statistical estimates based on knowledge of common sizes of typically observed objects, but that works for common things, plus motion based estimations. But the rare tail cases are one that matter and they violate statistical assumptions. Or it's using a huge computational burden to get at something which could be obtained far more economically, letting the computational budget be used for other important things.
Tesla has changed cameras in the past to get us to where we are today with three forward looking cameras. It seems trivial and inexpensive to add one more camera up front for stereo vision. However, Tesla hasn't done it for years. What does Tesla know that we don't?they can do statistical estimates based on knowledge of common sizes of typically observed objects, but that works for common things, plus motion based estimations. But the rare tail cases are one that matter and they violate statistical assumptions. Or it's using a huge computational burden to get at something which could be obtained far more economically, letting the computational budget be used for other important things.
Humans use stereoscopic vision as well as subtle autofocusing signals, which is how a one-eyed friend said he did depth perception. Neither of these are available on a Tesla. But Subaru has been doing stereo, without lidar or radar, for decades now and people think its system performs well. With an artificial system you can have cameras more widely spaced than human eyes, giving superhuman performance, i.e. parallax out to longer distances.
Subaru doesn't have the machine learning capability of Tesla, so their high performance probably comes from the right hardware sensors. With better ML and sensors, Tesla could do better still. Tesla is excellent vs competitors in lane keeping (steering control) as that's a ML-first problem, but performs less well in longitudinal speed control where physical distances & velocities and classifications of obstruction are primary.
I agree with not using lidar on a consumer purchased vehicle, too expensive and fragile and with a high power cost for enough performance. I think the lack of stereo (as well as lack of full all around camera coverage) is a significant deficiency which would improve performance at a low cost.
If every car had direct physical distance determination at shorter distances, this would also provide an enormous potential dataset for autolabeling (as they reverse time and see what objects were in the distance some seconds earlier). Tesla has some instrumented cars with radar or lidar probably to generate training sets but not a full fleet.
I don’t quite understand what you’re saying? That there are no concerns over the sensor suite, and your only concern is the FSD computer?
It's run by one person's opinions which are formed extremely quickly and increasingly little introspection or willing to listen to considerations. They took out a cheap rain sensor, and it still works worse. There isn't even camera coverage 360 degrees around (e.g. for top down view for parking) even though most competition does have it. Radar taken out long long before vision performance was adequate to replace.
It actually has a lot of room to accelerate more briskly with no complaints from people. It just needs to do it with less jerk, and in the appropriate contexts. People would be so happy.
Yep; a human decelerates potentially just as much, but more gradually (meaning they phase in the deceleration, possibly even attaining a higher peak deceleration than NoA, and also phase it out, gradually).
Slow down sooner for stop signs?! Mine abruptly goes from 45 down to 10 like 300-400 feet from the stop sign and then drives at like 10 mph toward it from a distance. It’s super bizarre and pisses off anyone behind me so I have to frequently disengage if anyone is behind me.
No not exactly. Your head is far ahead of the B pillar camera. You can peak out before the B pillar camera can, so FSD needs to creep out further than a human does.
Exactly…so the sensor suite is insufficient…
