Looks like it :-/
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Looks like it :-/
This is typically cross traffic though. Original post unclear - said oncoming which is usually coming from in front towards you (which I had to disengage for yesterday)? Ambiguous I guess.Misjudging oncoming traffic continues to be FSD's Achilles' heel. We all probably noticed Chuck's tweet of another ADAS test vehicle in his neighborhood this week.
Agreed. Misjudging oncoming traffic continues to be FSD's Achilles' heel. We all probably noticed Chuck's tweet of another ADAS test vehicle in his neighborhood this week.
Gotta be a server issue... when has the left side been almost all emptyLooks like it :-/
I have a school zone in which it dutifully slows down every time, ignoring all the annoyed drivers behind it wanting to go 45-50 MPH. Also ignoring the fact that no children are present.One question I haven't seen answer is what happens in a School Zone? Does FSD pay attention to flashing yellow lights? Will it slow down during school hours? Or will I risk going to jail for speeding next to a school at 3:00 in the afternoon?
As always you miss the point and try and change the discussion.Correlation is not causation.
There is a small delay in creeping caused by the added distance needed for the B-pillar to see crossing traffic at low visibility intersections.
Maybe. That would be fine at the very end but in reality not the way it is done.Could FSD creep faster at the end? Sure, but then cross traffic may think you're going to proceed since you're already at the very edge of the road.
I actually think it is an interesting question. This behavior has been there for a while now. It has changed with v12 but it still does it.then refrain from your replies.
I did not do that and do not do that. Laser focused.As always you miss the point and try and change the discussion.
Numbers are changing even though the left column looks empty
If this were properly ensconced in the map data, all FSD(S) would need to do is watch for kids. Oh well.I have a school zone in which it dutifully slows down every time, ignoring all the annoyed drivers behind it wanting to go 45-50 MPH. Also ignoring the fact that no children are present.
In general, no - FSD doesn’t recognize school zones. It’s been discussed here several times and a big part of the problem is there is no standard signage and it’s often unclear.
Given the types of other bugs that are easily noticed on TeslaFi, I wouldn't be surprised by some bug confusing the pending numbers. It briefly showed again just now with 1200 pending 2024.3.6 for ~2430 total getting 12.3.2.1, so if that number was accurate, it does seem to be nearly double the total from last night. You can still see updates finishing, and so far still only 2023/2024 vehicles excluding 2024 Model 3s.Numbers are changing even though the left column looks empty
Not just that. Self driving cars with no humans on board will be targets of destruction in cities like SFO, LAX, SEA and PDX. We are also starting to see this type of behavior towards Waymo.Which brings up an interesting conundrum. In the future when people become more aware and understanding of self driving cars they will be more likely to cut them off, walk in front of them, block them in, etc, since self driving cars have no passion and will willing yield. We are stating to see these type of behavior towards Waymo.
What's the quality of HW3 camera seeing potholes? Do you have TeslaCam recordings of good examples? Even if it's clearly visible, end-to-end could have a lot of other training examples where people don't change behavior to avoid the "pothole" perhaps because the discoloration in the road wasn't something to avoid. People have reported that 12.x already seems to adjust speed based on road surface quality, so maybe Tesla needs to do focused training on good pothole avoidance examples to get end-to-end to actually learn it.How about Tesla first trains HW3 to avoid potholes and then we'll see what's possible? Today, FSD makes no effort at all to straddle them.
If borderline perfection is the threshold for robotaxi, then I suppose there isn't much space for improvement, but I'm not sure if HW3 robotaxi would target that. Would you think a more gradual deceleration is an improvement such as making use of HW4 higher camera resolution to notice earlier that the lead vehicle is slowing down? Even focusing on non-safety situations and "just" improving comfort, is that improvement enough that potential robotaxi customers would prefer a smoother end-to-end driving experience?Guess I don’t picture Tesla taking liability until it’s borderline perfect, and then I don’t know how you improve upon perfection.
I blew a tire and rim while driving manually because the deep pothole was black just like a series of filled holes. About a 1000 bucks.What's the quality of HW3 camera seeing potholes? Do you have TeslaCam recordings of good examples? Even if it's clearly visible, end-to-end could have a lot of other training examples where people don't change behavior to avoid the "pothole" perhaps because the discoloration in the road wasn't something to avoid. People have reported that 12.x already seems to adjust speed based on road surface quality, so maybe Tesla needs to do focused training on good pothole avoidance examples to get end-to-end to actually learn it.
Why though? If it knows it can’t see why doesn’t it just go to where it can see?
I don’t really see that type of thing being a problem when the system is the multiple safer than humans necessary to unlock robotaxis, but certainly nothing is unpossibleIf borderline perfection is the threshold for robotaxi, then I suppose there isn't much space for improvement, but I'm not sure if HW3 robotaxi would target that. Would you think a more gradual deceleration is an improvement such as making use of HW4 higher camera resolution to notice earlier that the lead vehicle is slowing down? Even focusing on non-safety situations and "just" improving comfort, is that improvement enough that potential robotaxi customers would prefer a smoother end-to-end driving experience?
I have no idea. Which of the three forward cameras does the training have access to? The main camera (50 degree field of view) is the one we see on recordings, but the telephoto (35 degree field of view) should provide better information about stuff like potholes. Well, apart from those on a curve of a given radius. The wide angle (120 degree field of view) probably isn't particularly useful for this, but I don't know what a neural net can sleuth out of the video.What's the quality of HW3 camera seeing potholes?
Yea and nothing on either of my vehicles, one is FSD and one is non-FSD. Interesting.Given the types of other bugs that are easily noticed on TeslaFi, I wouldn't be surprised by some bug confusing the pending numbers. It briefly showed again just now with 1200 pending 2024.3.6 for ~2430 total getting 12.3.2.1, so if that number was accurate, it does seem to be nearly double the total from last night. You can still see updates finishing, and so far still only 2023/2024 vehicles excluding 2024 Model 3s.