At a time when automotive intelligence is becoming more and more popular, autonomous driving can be said to have become the "magic weapon for winning" of major auto companies.
In order to make the vehicle's autonomous driving function more powerful, many new energy vehicle companies not only equipped with high computing power chips, high-definition cameras, ultrasonic radars and millimeter-wave radars on their vehicles, but also equipped with the higher cost lidar .
and Tesla , but it does the opposite.
In May 2020, the millimeter wave radar was cancelled. Not long ago, Tesla announced that it will cancel ultrasonic radar and adopt pure vision solutions for autonomous driving.
In other words, Tesla has completely abandoned radar , and autonomous driving is completely achieved by 8 cameras.
So, we can’t help but ask, what is Tesla’s confidence?
Regarding this issue, let’s briefly talk about it today.
There is no doubt that Tesla is currently in the leading position with an absolute advantage in the field of autonomous driving.
Although many new energy vehicle companies in China have also achieved remarkable results in autonomous driving. But it has to be admitted that there is still a gap compared to Tesla.
Some time ago, I saw a video online about vehicle autonomous driving testing.
In many test projects, many hardware sensor configurations are much higher than those of Tesla Model 3, but their performance is not as good as Model 3.
I have also consulted the owners driving Tesla around me. They are very satisfied with Tesla's self-driving evaluation without exception.
It can be seen that stacking hardware is not a key factor in improving autonomous driving technology.
or, in other words, it is not the direction of Tesla's development.
Tesla's autonomous driving technology direction is the bionic route: the camera is equivalent to the human eye, and the silicon-based neural network is similar to the human nervous system.
. In my opinion, Tesla is leading other car companies in autonomous driving. There are roughly the following reasons:
First, self-developed chips and super computing power
In my opinion, it is better to say that Tesla is a car company than a technology company. As early as 2016, Tesla began to independently develop autonomous driving chips. In 2019, Tesla FSD was officially released.
At present, Tesla's FSD has a final computing power of 144 TOPS, which is higher than many domestic new energy vehicles. In the future, Tesla will launch HW4.0, so its computing power will be stronger;
Second, Tesla has massive data,
, which is more important than chip computing power, which is data.
With Tesla's huge sales, hundreds of thousands of Teslas are driving around the world every day. This undoubtedly provides the most powerful support for Tesla to collect data;
3. The OTA function can update the OTA upgrade function of most vehicles, mainly targeting the car computer system. Tesla's OTA upgrade is not limited to the car system, but a comprehensive upgrade including autonomous driving, power and chassis.
I think this is also the main reason why Tesla adopts the "single pedal mode", so that people do not interfere with the vehicle.
In addition, Tesla's up to 42,000 Starlink satellites can also provide Tesla with a large amount of data information.
In short, the higher the sales volume of Tesla, the greater the help it will be for Tesla's autonomous driving technology improvement.
Copyright Statement: This article is original by Chekuaiping. Please contact authorization for reprinting. Reproduction without permission is strictly prohibited, and the pictures and texts will be prohibited from being plagiarized or theft, otherwise legal liability will be pursued. Some pictures of the article are from the Internet and the copyright belongs to the original author. If you use your work, please contact us for remuneration or delete it.
