Meanwhile, the competition who is using LiDAR has FSD cars. You're understating the importance of this sensor.

You can train a DL model to act like a LiDAR based on only camera inputs (the data collection is easy if you already have LiDAR cars driving around). If they could get this to work reliably, I'm sure the competition would do it and ditch the LiDAR, but they don't, so that tells us something.

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SOLAR_FIELDS 5 days ago | parent | next [-]

It is very true and worthwhile to point out that the only company deploying L4 at scale is using LIDAR. And that company is not Tesla

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UltraSane 5 days ago | parent [-]

The mental gymnastics Tesla fanboys use to explain this away are incredible.

	▲	happyPersonR 5 days ago \| parent [-]
		The Tesla social media team actively used to post positive spin on comment threads. It wouldn’t surprise me if they have LLM doing this now.

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ModernMech 5 days ago | parent | prev | next [-]

Researchers had this knowledge in 2007, when the only cars to finish the DARPA Urban challenge were equipped with Velodyne 3D LIDAR. Elon Musk sent us back a decade by using his platform to ignorantly convince everyone it was possible with just camera alone.

For anyone who understands sensor fusion and the Kalman filter, read this and ask yourself if you trust Elon Musk to direct the sensor strategy on your autonomous vehicle: https://www.threads.com/@mdsnprks/post/DN_FhFikyUE

For anyone wondering, to a sensors engineer the above tweet is like sayin 1 + 1 = 0 -- the truth (and science) is the exact opposite of what he's saying.

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cmiles74 5 days ago | parent | prev [-]

Isn’t this article about Tesla admitting their system is as good as it’s going to get? They’re changing their definition of FSD to pretty much “current state”.