LiDAR is no longer popular? After Tesla, why did Xiaopeng also abandon it?

eric_wang

LiDAR is no longer popular? After Tesla, why did Xiaopeng also abandon it? [Copy link]

"Only fools install LiDAR on cars. It's like the appendix on a human body. Its existence itself is meaningless." Musk said this in 2019, which made the whole world think that he was "demented". After all, the price of LiDAR continued to be reduced to the thousand yuan range, and even some car companies said "If you don't have four (LiDARs), please don't talk."

However, five years later, the whole world is in a state of confusion. Recently, automakers and Tier 1 companies have been lining up to abandon LiDAR and choose the pure vision route.

Xiaopeng launched a new generation of Xiaopeng AI Eagle Eye vision solution. At the same time, Xiaopeng's new car P7+ is also equipped with this technology, abandoning the lidar; the basic version of Wenjie M7 PRO intelligent driving has removed the lidar; Jiyue released the "pure vision + end-to-end large model" intelligent driving solution ASD; Weilai's second brand Ledao is equipped with a pure vision solution on its first model L60; Baojun Yunhai realizes city memory navigation and high-speed navigation under the binocular pure vision solution.

Some say that domestic automakers have finally realized the difficulty of applying LiDAR, while others say that in most cases LiDAR may only be a backup for vision. In short, the market trend has changed again, and intelligent driving players have begun to switch to pure vision solutions... Welcome to follow our subscription account on WeChat: Automotive Development Circle (ID: AutoDevelopers) >> Read the full content

秦天qintian0303

This is like an application that is closer to human senses and may also be accurate

wangerxian

I think lidar is still useful. Pure vision will definitely have problems, just like humans, there will be visual errors.

Verifone

LiDAR should be able to be used as an auxiliary, and I think visual processing is more suitable, but algorithm processing needs to be more precise.