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"After careful consideration, we now believe it can be used as a primary control sensor without requiring the camera to confirm visual image recognition. This is a non-trivial and counter-intuitive problem, because of how strange the world looks in radar."
They don't sound too sure of themselves to me and they don't use the word "beta" once in the press release. I wonder how it made it through their legal department.
Because they say that they don't implement that feature before enough fleet learning data nas been collected.
This may not always prevent a collision entirely, but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants.
This may not always prevent a collision entirely, but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants, if for some reason the driver fails to follow the instructions and take control of the vehicle to avoid a potential collision, as required by auto-pilot, which is a "driver assistant" system and not autonomous self-driving.
When the data shows that false braking events would be rare, the car will begin mild braking using radar, even if the camera doesn't notice the object ahead.
So does this mean that hard braking event are rare but mild braking will be common?
Would suck if there just happened to also be an object in the road at one of these "whitelisted" locations where radar doesn't work.
I'm virtually certain they use the camera to tell a car from a truck, not the radar. I covered the camera on my parked Tesla and then placed another car in front of it. It did not get displayed on the IC until I uncovered the camera.The object would have to be in the exact location of the geotagged object - and depending on how Tesla is handling it, they still might pick up that the object was more reflective than normal.
We know that they are already measuring the intensity of the return even in 7.1 - I'm nearly positive that's how it is deciding whether to show a car, truck, or motorcycle on the display (I've seen it make mistakes in both directions, always with things which have geometry that should affect the radar return strength.)
Assuming they include that data in the whitelist, they should pick up the extra reflector unless it is small enough to fall within equipment or environmental effect tolerances.
And, of course, the driver should be paying attention - you can bet that if the car is silently watching for false positives, it'll be just as aware of the driver suddenly slamming on the brakes or jerking the wheel when the car thought it was in the clear, and updating Tesla based on that.
I'm virtually certain they use the camera to tell a car from a truck, not the radar. I covered the camera on my parked Tesla and then placed another car in front of it. It did not get displayed on the IC until I uncovered the camera.
"The net effect of this, combined with the fact that radar sees through most visual obscuration, is that the car should almost always hit the brakes correctly even if a UFO were to land on the freeway in zero visibility conditions."
Hmm..so when Elon's martian cousins land on earth, at least Tesla cars won't hit them.
There is still an issue with big fluffy. Don't know if it sees a horse or a cow or a moose.
Hmm. It sees flatbed trucks and bobtail semi tractors as cars, and some cars/minivans with vertical rears as trucks. I'm surprised the camera would make that mistake with the semi cab, but I can't say for certain. The other two I can see the camera making the same mistake I assumed the radar was.
Unless, of course, the UFOs are made of wood...
I was a little perplexed by the UFO mention on the Blog. If some alien civilization had the technology to travel here then surely they would have radar masking technology as well.