Self-Driving Teslas Are Fatally Striking Motorcyclists More Than Any Other Brand: New Analysis
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The motorcyclist was killed on a freeway merge ramp.
I'd say that means it's a very good chance that yes while, FSD was enabled, the crash happened under the older AP mode of driving.
Also yikes... the report says the AEB kicked in, and the driver overrode it by pressing on the accelerator!
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There was an article where he sliced a deer in half
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Okay, so I'm going to edit my earlier replies, but I'm wrong.
Version 11 in 2023 wasn't using the AP code, it just wasn't using the neural nets. So it was legitimately FSD, but it was running different code on the freeways (non neural net) vs on city streets (neural net)
But it was indeed FSD.
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But muh innovation! How are genius CEOs supposed to innovate if they can't use the public at large as guinea pigs??
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Cuz other self driving cars use LIDAR so it's basically impossible for them to not realise that a bike is there.
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Claymore and trip wire?
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And how did it compare self-driving time or miles? Because on the surface if Tesla is responsible for 5 such accidents and Ford zero, but Tesla has significantly more than five times the self-driving time or miles, then we just don’t have data yet …… and I see an announcement that Ford expects full self driving in 2026, so it can’t have been used much yet
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It’s because the system has to rely on visual cues, since Tesla’s have no radar. The system looks at the tail light when it’s dark to gauge the distance from the vehicle. And since some bikes have a double light the system thinks it’s a car in front of them that is far away, when in reality it’s a bike up close. Also remember the ai is trained on human driving behavior which Tesla records from their customers. And we all know how well the average human drives around two wheeled vehicles.
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It looks a great deal like a Royal Enfield, but I couldn't tell you which model. A Bullet, maybe?
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That's the one! Thanks, that was un-googleable for me.
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nice work, worth feeling a bit of pride over.
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unless it's foggy, etc.
