90 points by amanaplanacanal11 days ago | 59 comments
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A Chinese TV channel spent a bunch of money doing ADAS tests and Tesla came out on top of all the Chinese brands, including all the LIDAR systems. Although tests were all in the day time.
There's also been talk of companies pushing a hybrid LIDAR+vision approach using custom hardware since it's complex to merge the two datasets. So the answer might eventually be somewhere in between instead of companies choosing one or the other depending on costs.
Neat. I wonder which others will pass. I wonder if safety sense 3 cars will pass too. Speaking of which it’s insane a sienna doesn’t have that. I wish Tesla made a van instead of the cyber truck. Americans and their truck obsession…
Geography and road markings matter a lot here. We had the same issue in the US until we realized it was specific highway ramps with faded paint. Certain regions just have worse phantom brake rates. Sweden's roads are probably unusually well-marked.
So, that's not my experience with current FSD versions. But whatever, sure. Let's accept your data point as measured:
Every... TWO HOURS?! I mean, come on. Put a camera on yourself or another human driver. There's an unexpected braking event at least that often, almost always in a more dangerous situation. The human failure tends to be failing to detect a real obstacle, vs. slowing for a phantom one.
This is just too much. If you don't like it don't use it. But to pretend that stomps-the-brakes-every-few-hours is a stop ship kind of safety bug is quite frankly ridiculous.
Phantom braking frequency correlates heavily with camera cleanliness in my experience. I drive in a dusty area and once I started wiping the front cameras weekly the incidents dropped from maybe once every couple hours to maybe once every few weeks. Worth trying before giving up on it.
I wonder if we're going to see a different spin on dieselgate in the future. Where a car company collects all the data from the NHTSA's test environment through the cars cameras/sensors and then includes that data into the training datasets for other cars/sfw updates. (I'm not implying that this happened, but I imagine it would at some point)
Apparently some HW3 cars can get it. It's listed available for my 2022 Model 3 (Australia/Sydney). However the cost is twice what they charge for HW4, I believe.
It seems other HW3 might get a FSD-lite version. There's no official way to upgrade HW3-HW4.
I'm in the same boat, this is a whole thing right now. There is some kinda class action in Europe which will hopefully make them pay up or deliver something useful. I think a Refund plus interest plus a hefty fine for lying would be a good start.
A Tesla still can't detect a motorcycle next to it, so I can't see how it would ace the blind spot warning test.
Any other administration and I would be willing to grant the benefit of the doubt, but Musk's spent a lot of money to corrupt government agencies over the past year and a half so that he could get silly pronouncements that the most dangerous "advanced" driving system in the world is somehow also the safest. (More people have been killed by Tesla's ADAS systems than every other automaker's ADAS systems, in the world, combined.)
The NHTSA test is specifically for warning systems, not full avoidance. Blind spot warning just needs to alert the driver, not steer. Whether corruption is involved is a separate question from whether Tesla passed a narrowly-defined test correctly.
Has anyone looked at whether these tests use the same scenarios Tesla trains on? The "first to pass" framing is notable given Tesla has more real-world camera data than anyone. Passing first could mean superior ADAS or superior overfitting to regulators' test suite.
China is more repressive than the United States on basically every metric of fascism/authoritarianism that political scientists actually use. Do we need to elaborate?
https://www.youtube.com/watch?v=0xumyEf-WRI&t=1203s
https://electrek.co/2025/07/29/another-huge-chinese-self-dri...
XPENG (major chinese ADAS brand) recently decided to copy Tesla's vision-only+AI world gen data approach, after originally focusing only on LIDAR https://electrek.co/2026/04/29/xpeng-vla-2-test-drive-tesla-...
There's also been talk of companies pushing a hybrid LIDAR+vision approach using custom hardware since it's complex to merge the two datasets. So the answer might eventually be somewhere in between instead of companies choosing one or the other depending on costs.