it almost NEVER takes the exit and I have the latest 10.69.2.4. I highly doubt this .3 fix will be so great. In the computer world I worked major fixes to code or a product never got this many levels of revision code. If a product had major improvements it went from version 1.4 to 1.5
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FSD Beta 10.69
- Thread starter Buckminster
- Start date
Maybe seeing through the windshield helped with the predictions. The Model Y camera is basically at the height of the vehicle which is probably half a foot taller than the Legacy sedan ahead.
describe your commute. my trip today would've been about 10 stop signs and a jiggly left and right turn. expressway is one thing. driving through neighborhoods with stop signs and such is harder
clydeiii
Member
About 18 highway miles (nearly perfect NOA) and 4 miles of city snd suburb driving (mixed results, mostly involving bad map data and poor lane selection).
powertoold
Active Member
Yea, I just don't remember 69.2 consistently seeing oncoming cars through lead cars like that.
clydeiii
Member
I bet you could easily design an obstacle course that a human could do but tricks up FSD Beta. Low overhanging trees, thin wires, thin vertical & horizontal poles, thin gates across the road, small but deep potholes and chunks of concrete, periodic objects like someone twirling a long 2x4, an obvious landslide that will intersect your path. All things that can damage the car. I'll bet a driver could see and figure them out but FSD Beta won't. Not sure that proves a lot at this stage as we know it's not perfect. Would be interesting to see its detection and response limits.FSD Beta 10.69.3 doesn't see just inches ahead of the 3 front cameras!
View attachment 870814
Probably occupancy network programmed to ignore things a certain distance above the road surface. Although it should be straightforward to test with someone pulling the tree branch lower and lower until visualized.
PACEMD
Active Member
Sad, and clearly not a thing in the world you could have done. And it's a shame the video is too big. Those big videos always cause trouble. Must have occurred over an extended big time period. Have you thought about a class action lawsuit?
All ADAS features rely pretty heavily on GPS accuracy. I'd be curious if MJ's GPS is accurate - if they zoomed in on the car, is it perfectly in the lane on the map where it should be? Some people have had minor and major GPS issues (even just a little off the road), and they have all sorts of issues including jerky steering, phantom braking, and incorrect turns as the maps tell the car to turn now and the car doesn't see where it can turn and starts panicking.
PACEMD
Active Member
Hard to say but it has miles to go before it sleeps.........
I wonder if Objects network had been carrying over some of its training data that included human labeled individual frames? Switching over to raw with 10.69.3 probably allowed for fresh fully autolabeled data even for partially visible / mostly occluded objects that human annotation might have skipped over?
- Upgraded the Object Detection network to photon count video streams and retrained all parameters with the latest autolabeled datasets (with a special emphasis on low visibility scenarios).
powertoold
Active Member
Wow... check this one out:
1) Smoothly slows for a pedestrian running out
2) Yields to a completely stationary car that is intending to enter the road? *mind blown*
1) Smoothly slows for a pedestrian running out
2) Yields to a completely stationary car that is intending to enter the road? *mind blown*
And this was arguably very suboptimal. The young pedestrian was cautious, had good eye contact, and began to take a step. I'm pretty sure any safe human driver would wait longer. The vehicle's displayed mph never struck 0 so no surprise he didn't step out in front of the vehicle.
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This makes no sense, Why don't you post your settings to see if we can help.
Installed this morning, REALLY wish we could get up to at least a 2022.36 build. Oh well.
But you did accept entry into what is clearly identified as an early release Beta program. None of this has been dropped in to the production software.
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