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Absolutely fantastic.
I thought that was interesting myself. I wonder if there will be no changes to future hardware. I certainly hope that when I get my M3 that it will be on even newer hardware. ( I'm sure it will be )Says no changes to hardware. Interesting take.
No.. or partlySays no changes to hardware. Interesting take.
I thought that was interesting myself. I wonder if there will be no changes to future hardware. I certainly hope that when I get my M3 that it will be on even newer hardware. ( I'm sure it will be )
No.. or partly
He said that he can improve the current radar to an extent, while a new HW will get even better results
It's seems he really don't like lidar, and it's commited to prove his point
Bit of background
Lidar - Wikipedia, the free encyclopedia
Interesting possibilities for AP.
Let's hope it's a successful R&D which ends up giving drivers a much clearer representation of just how far/what the system can "see".
I think the problem with AP is anthropomorphism; we tend to infer that it has a field of view and visual acuity that is similar to our own.
Because Tesla's radar is not phased array radar, I'm really curious how this would work.
By using the motion of the vehicle, they time sample and smooth the point cloud data to approximate what a spinning LIDAR system does. Wonder what the processing overhead on that technique is? Has to be high.
I'll offer my wild guess about this. I also assume that Tesla's radar hardware gives no angular information at all, just distance at a point in time. So as you say, the problem is distinguishing between a truck stopped ahead of you and a truck stopped off to one side.To my understanding, Tesla's radar has no angular resolution. So I don't understand, how it could distinguish between a truck that has stopped before a T-junction or is right at the junction.
Temporal sampling tells, that there is something new somewhere at the junction, but not exactly where it is.