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Don't blow it, don't blow it, let's take a look at the gap between Xiaomi SU7 intelligent driving and AVATR 12. The Xiaomi SU7 uses a two-legged walking method, which is more optional, but it is also because of the multi-legged walking

author:Lovers of technological inventions

Don't blow it, don't blow it, let's take a look at the gap between Xiaomi SU7 intelligent driving and AVATR 12.

Xiaomi SU7 uses a two-legged walking method, which is more optional, but it is precisely because of multi-legged walking, I don't think the professionalism is as good as AVATR 12. AVATR 12 uses 3 lidar configurations, which can cover a 300° field of view at the same time, so when the vehicle avoids, it will be more reliable to perceive the surrounding scene.

Many special car use scenarios, such as the downtown intersection on a rainy night, if there is a battery car suddenly speeding in the blind spot, AVATR 12 with 3 lidars does not have to be afraid of the backlight brought by the rain, dark light, etc., it can quickly sense and identify, in contrast, Xiaomi SU7 is only equipped with 1 lidar, I personally think that its perception ability still needs time and market verification.

In contrast,XiaomiSU7The perception ability of the side pure vision scheme has congenital drawbacks,The probability of graphic distortion is very large,Even if it is Model 3, it is not done well in China,There is still a gap between the level of intelligent driving and the top level in China,Of course, not to mention abroad。 At the same time, due to the low perception ability, the whole system will be more conservative, and under the game strategy, the discomfort of forcing a foot brake will be very strong.

It is undeniable that Xiaomi SU7 is very fragrant, but the 3 lidars used by AVATR 12 are equivalent to three times the net, and the capture rate of surrounding obstacles is higher, and it is undoubtedly more calm and reliable in terms of intelligent driving performance.

Don't blow it, don't blow it, let's take a look at the gap between Xiaomi SU7 intelligent driving and AVATR 12. The Xiaomi SU7 uses a two-legged walking method, which is more optional, but it is also because of the multi-legged walking
Don't blow it, don't blow it, let's take a look at the gap between Xiaomi SU7 intelligent driving and AVATR 12. The Xiaomi SU7 uses a two-legged walking method, which is more optional, but it is also because of the multi-legged walking
Don't blow it, don't blow it, let's take a look at the gap between Xiaomi SU7 intelligent driving and AVATR 12. The Xiaomi SU7 uses a two-legged walking method, which is more optional, but it is also because of the multi-legged walking
Don't blow it, don't blow it, let's take a look at the gap between Xiaomi SU7 intelligent driving and AVATR 12. The Xiaomi SU7 uses a two-legged walking method, which is more optional, but it is also because of the multi-legged walking
Don't blow it, don't blow it, let's take a look at the gap between Xiaomi SU7 intelligent driving and AVATR 12. The Xiaomi SU7 uses a two-legged walking method, which is more optional, but it is also because of the multi-legged walking
Don't blow it, don't blow it, let's take a look at the gap between Xiaomi SU7 intelligent driving and AVATR 12. The Xiaomi SU7 uses a two-legged walking method, which is more optional, but it is also because of the multi-legged walking
Don't blow it, don't blow it, let's take a look at the gap between Xiaomi SU7 intelligent driving and AVATR 12. The Xiaomi SU7 uses a two-legged walking method, which is more optional, but it is also because of the multi-legged walking
Don't blow it, don't blow it, let's take a look at the gap between Xiaomi SU7 intelligent driving and AVATR 12. The Xiaomi SU7 uses a two-legged walking method, which is more optional, but it is also because of the multi-legged walking
Don't blow it, don't blow it, let's take a look at the gap between Xiaomi SU7 intelligent driving and AVATR 12. The Xiaomi SU7 uses a two-legged walking method, which is more optional, but it is also because of the multi-legged walking

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