5 ms·

It seems to estimate the surroundings pretty well in the new version, but the path planner still has issues. I'm not sure if they already do this, but I think T

by Geee 5y ago

It seems to estimate the surroundings pretty well in the new version, but the path planner still has issues. I'm not sure if they already do this, but I think Tesla should run FSD on all cars in shadow mode, and then use the FSD vector data and driver actions to train the path planner. Basically using FSD vector data as input and driver actions as output of the neural net. If the network can't reach confidence in certain situations, then information is missing from the FSD vector data and more raw video data is needed. It would be possible to measure the difference between human drivers vs. FSD and automatically send data from errors to Tesla for training.

Syonyk 5y ago
I've been hearing for years now that this is a Tesla advantage, that they can run in shadow mode, learn from humans, and big data learn all the quirks of the roads so they don't have to learn them in the self driving system. If this has been the case, evidence here is certainly lacking. Turning down a street one presumably hasn't seen a car drive down in this direction? Failing basic stationary obstacle avoidance because they're in the center of the road? Screwing up basic turn lane behavior? Either they aren't taking the "years of learning" data into account, or, worse, they are - and even with all that correction, it's still this bad.
- Geee 5y ago
  I think they've been focused on solving the "environment mapping and object detection" problem, and if that isn't solved then they can't have the proper inputs to solve the "path planning / decision making" problem. It seems that they're close to solving the first problem, and are ready to move on to the next. As far as I know they've been using the fleet to collect raw camera data for their training set but I don't think they've used the fleet to learn driving behaviour.
- visarga 5y ago
  It's a cherry picked set of examples you're drawing generalisations from. On any day I can see more reckless driving from humans than I've ever seen online with Tesla.
  - alkonaut 5y ago
    I thought this was examples from months of driving and thousands of hours, which would have been terrible. But apparently it’s just from a few days testing. That’s unthinkably bad.
verytrivial 5y ago
It seems to be very blasé about sudden changes in its live model of even very close objects. Imagine trying to drive with giant blind spots appearing and disappearing in front of your eyes. Could you drive? Maybe, at low speed, in some conditions. Should you? No way. And the complete blindess to the monorail pillars seems utterly fatal to the radar-less concept. These things were CLEARLY there but had unfamiliar visual geometery, but it still chose to blunder forward (and directly torwards them it seems.) Wild.
wanderer2323 5y ago
> seems to estimate the surroundings well > repeatedly tries to drive into the monorail pillars Choose one and only one

by Geee 5y ago

Syonyk 5y ago

I've been hearing for years now that this is a Tesla advantage, that they can run in shadow mode, learn from humans, and big data learn all the quirks of the roads so they don't have to learn them in the self driving system. If this has been the case, evidence here is certainly lacking. Turning down a street one presumably hasn't seen a car drive down in this direction? Failing basic stationary obstacle avoidance because they're in the center of the road? Screwing up basic turn lane behavior? Either they aren't taking the "years of learning" data into account, or, worse, they are - and even with all that correction, it's still this bad.

Geee 5y ago
I think they've been focused on solving the "environment mapping and object detection" problem, and if that isn't solved then they can't have the proper inputs to solve the "path planning / decision making" problem. It seems that they're close to solving the first problem, and are ready to move on to the next. As far as I know they've been using the fleet to collect raw camera data for their training set but I don't think they've used the fleet to learn driving behaviour.
visarga 5y ago
It's a cherry picked set of examples you're drawing generalisations from. On any day I can see more reckless driving from humans than I've ever seen online with Tesla.
- alkonaut 5y ago
  I thought this was examples from months of driving and thousands of hours, which would have been terrible. But apparently it’s just from a few days testing. That’s unthinkably bad.

verytrivial 5y ago

It seems to be very blasé about sudden changes in its live model of even very close objects. Imagine trying to drive with giant blind spots appearing and disappearing in front of your eyes. Could you drive? Maybe, at low speed, in some conditions. Should you? No way. And the complete blindess to the monorail pillars seems utterly fatal to the radar-less concept. These things were CLEARLY there but had unfamiliar visual geometery, but it still chose to blunder forward (and directly torwards them it seems.) Wild.

wanderer2323 5y ago

> seems to estimate the surroundings well > repeatedly tries to drive into the monorail pillars Choose one and only one