In recent days, the industry's public opinion on autonomous driving has been higher than that, and it has become more and more intense.
Previously, Xiaopeng Motors announced that it would upgrade its autopilot software and hardware systems from models produced in 2021, and use lidar technology to improve performance, which soon caused Tesla CEO Musk’s remarks about Xiaopeng’s plagiarism.
In response to Musk’s public condemnation, Xiaopeng Motors CEO He Xiaopeng was naturally unwilling to be outdone, and angrily criticized him for unprovoked rumors, and claimed that starting next year, Tesla will not be able to find Tesla in the field of autonomous driving in China.
Later, Wang Gang, vice president of Alibaba Cloud and director of the Autonomous Driving Laboratory of Dharma Academy, said at the World Internet Conference Forum, "I am very optimistic about the development of autonomous driving in China. I think it is faster than the United States. Two reasons, first We are a very good country where we apply what we have learned. The development of technology still depends on luck. We use the market and demand to force it. Our country provides very good use scenarios! The second is that the public, including the government, are open to new technologies. Tolerance, the survey report shows that the popularity of autonomous driving in various countries, China ranks first, and everyone’s tolerance for new things will not create obstacles to technology."
The difference between the two is only a few days, and it is difficult for anyone not to bring the two hot spots together.
Some people even extracted several important information from Wang Gang's remarks, such as "I think it runs faster than the United States", and "We are a very good country that applies what we have learned".
In the eyes of those who are interested, this seems to be the "war letter" that Wang Gang backed He Xiaopeng behind, but it also seemed to admit the euphemism of "learning to apply" from the side.
The former is a battle of saliva, and the latter is a speech of longing. The two public opinions that could have nothing to do with each other, under the deliberate arrangement of the God of Time, are enough to make many people think about it.
And another discussion triggered by this war of words is about the line dispute between Musk's old and tasteless "lidar technology" and the "visual technology" he advocates.
In Tesla's view, since people can drive with one pair of eyes, cars can also rely on cameras to observe the surrounding environment.
So Tesla is committed to researching new algorithms and developing an intelligent "brain". This year, Musk said on social networks that Tesla is developing a neural network training computer called Dojo to process large amounts of video data. Musk said that Dojo is like a real performance beast, and hinted that Dojo will help achieve the goal of fully automated driving, that is, unmanned driving.
In theory, the combination of vision technology and lidar is the perfect solution, because the image sensor in the vision solution can obtain the surrounding complex environmental information with high frame rate and high resolution, and the price is cheap, while lidar is a kind of The active sensor acquires the depth information of the target by emitting pulsed laser and detecting the scattered light characteristics of the target. It has the characteristics of high precision, large range and strong anti-interference ability. Companies in the industry also generally believe that fully autonomous driving technology should be lidar, radar, camera, ultrasonic, thermal imaging and other sensors.
But in the final analysis, autonomous driving is not designed to complete a feat of technology in the driving application field, or a perfect case. It is more of a business, and it needs to be responsible for the majority of users, to reduce costs and reduce prices.
Therefore, Xiaopeng Motors adopts the higher application cost of lidar technology, which is almost completely contrary to Tesla’s future car-building concept. Musk’s so-called plagiarism speech also casts a layer of “different ways”. "Don't seek each other" means.
As for the final end of this route dispute, whether Xiaopeng relied on lidar and autopilot to fight Tesla can't find it, or Tesla's visual intelligence brain is better, it is still difficult to determine. However, with the rapid development of vehicle electrification, intelligence, and connectivity, the two technical routes will be better or worse.
The battle for autonomous driving is only time to prove it, and it must not be disappointed!
Therefore, at this opportunity, the Programmer Inn-Development House will start from multiple dimensions and screen out the list of TOP20 companies in the field of automatic/assisted driving in China to witness the huge prospects of autonomous driving technology in the future and to encourage each other.
For the convenience of reading, the companies on the list will still be sorted by financing scale for your reference.
A summary of the text version of the listed companies, which is convenient for everyone to copy and search
Weilai Automobile, Ideal Automobile, Xiaopeng Automobile, Xiaoma Zhixing, Intelligent Car Youxing, Tucson Future, Didi Woya, Momenta, Intotech, Wenyuan Zhixing, MINIEYE Nason
Automobile, Heduo Technology, ZongMu Technology , Zhixingzhe, Zhongtian Anchi, CIDI, Tudatong, Suzhou Zhihua, Qingyan Microvision.
Recommended reading
2020 domestic top ten API interface service platforms
2020 Top Ten Recommendations for Face Recognition Companies
2020 China's top 20 artificial intelligence ``voice recognition'' companies
2020 China artificial intelligence [chatbot] TOP30 inventory