MonkeyGee
OP
:
I just laugh when I see this. Knownly claiming something is better when it can't even get out of the garage on its own. Tesla is a religion or a cult. Everyone is high on Tsla. I know I'm going to get a lot of heat for these comments, but I say it like I see it.
SoundOfMusic
MonkeyGee
OP
:
If people realize how chaotic is driving in China, only then can you appreciate Xpeng City NGP. So far Tesla wouldn't dare to FSD in a China city.
Xpeng highway NGP and Tesla FSD are functionally on par. I think it is safer with Xpeng due to lidars and better driver monitoring than Tesla.
So my assessment is Xpeng XNGP is better than Tesla FSD in China.
bullrider_21
:
Huawei, which has over 1,000 engineers in its planning and control team alone, rely on programmers to write rule-based code to solve massive problem.
While Nio/ Xpeng, which has a team of about 100 people, uses an end-to-end neural networks smart driving by taking sensor data as input and using it directly in the vehicle's control commands, with intermediate processes relying on neural network models system.
MonkeyGee OP : I just laugh when I see this. Knownly claiming something is better when it can't even get out of the garage on its own. Tesla is a religion or a cult. Everyone is high on Tsla. I know I'm going to get a lot of heat for these comments, but I say it like I see it.
SoundOfMusic MonkeyGee OP : If people realize how chaotic is driving in China, only then can you appreciate Xpeng City NGP. So far Tesla wouldn't dare to FSD in a China city.
Xpeng highway NGP and Tesla FSD are functionally on par. I think it is safer with Xpeng due to lidars and better driver monitoring than Tesla.
So my assessment is Xpeng XNGP is better than Tesla FSD in China.
bullrider_21 : Huawei, which has over 1,000 engineers in its planning and control team alone, rely on programmers to write rule-based code to solve massive problem.
While Nio/ Xpeng, which has a team of about 100 people, uses an end-to-end neural networks smart driving by taking sensor data as input and using it directly in the vehicle's control commands, with intermediate processes relying on neural network models system.