Just announced the completion of the A round of nearly 1 billion yuan of financing, promoted to the autopilot unicorn of the last zhixing, and held the last brand day of the year.
However, unlike the previous events, this time the event was upgraded to "AI DAY". Those who pay attention to autonomous driving may know that in August this year, Tesla also held an event of the same name. At Tesla's AI DAY, Musk not only released the supercomputer Dojo, but also played with flowers and launched a humanoid robot, which attracted widespread attention in the industry.
As the finale of the year-end event, Miller Zhixing handed over its own report card on AI DAY: in 2021, the Milliper Assisted Driving System has been installed into 5 models totaling tens of thousands of mass-produced vehicles; the mileage of passenger car users has exceeded 4 million kilometers; in terms of terminal logistics unmanned vehicles, Miller has ushered in the 1,000th mass production of vehicles off the production line...
More importantly, in terms of revenue, Zhixing revealed that its revenue in 2021 will reach hundreds of millions of yuan, which is the fastest growing autonomous driving company in China.
In addition to the results of the show, in the 90-minute online live broadcast activity, Zhixing also released many key information such as the preparation of the construction of an autonomous driving supercomputing center, the establishment of a Shenzhen R&D center, and the NOH of the next year's upper-tier city. The whole conference not only has the judgment and prediction of industry trends, but also the sharing and interpretation of technical dry goods.
Ten predictions and three major battles
"2022 will be the most critical year for the development of the autonomous driving industry. Competition in the field of passenger car assisted driving will officially enter the second half, and autonomous driving in other scenarios will also officially enter the first year of commercialization. ”
In the face of the upcoming 2022, Zhang Kai, chairman of Zhixing, gave his own judgment and put forward the top ten autonomous driving trend predictions in 2022.
In terms of the development of autonomous driving technology, Zhang Kai believes that data intelligence will become the positive or negative hand of automatic driving mass production. The data intelligence system is the key to the closed loop of automatic driving commercialization, and building an efficient and low-cost data intelligence system is the foundation for the healthy development of automatic driving, and it is also an important link for the automatic driving system to continuously iterate forward.
Transformer and CNN deep integration, will become the glue for the integration of autonomous driving algorithms; with the development of AI technology, the large computing platform will be officially mass-produced in 2022, Transformer technology and ONESTAGE CNN technology need to be supported by a large computing platform.
In terms of mass production landing, 2022 will be the first year of mass production of urban smart pilot auxiliary driving; the commercialization of the terminal unmanned logistics field will show continuity, Zhang Kai said that in 2022, he hopes to use the advantages of the end to expand the market capacity of this field by 3 times; Robotruck will officially open the exploration of the road of mass production.
In terms of industry development trends, Zhang Kai believes that the intelligent car market based on intelligent driving technology will gather at the head of the automotive industry, which is similar to the smartphone market in previous years; with the mass production and scale of autonomous driving systems, the AI perception technology composed of lidar and machine vision will achieve deep integration with large computing platforms.
Safety will still become the top priority of the automatic driving system, in addition to functional safety, information security, expected use safety, and now there are more data security and data compliance; finally, in terms of talent, Zhang Kai predicts that 2022 will be the most intense year for AI autonomous driving talents.
It can be seen that these predictions are the hottest trends at present, and technological innovation and the development of autonomous driving applications are closely integrated, which is both technologically forward-looking and has industry guidance value.
Based on these industry insights and predictions, Zhang Kai said that 2022 must be an uphill battle for the end of the world, and will fight three key and significant battles.
The first is the battle for data intelligence technology. The data intelligence system is the most critical link in the AI automatic driving system, and the perfect data intelligence system is the cornerstone of the success of AI automatic driving technology companies. "Whoever can mine the value of data efficiently and cheaply can become the king of competition."
The second is the battle of the assisted driving city scene. This reserves the Small Box 3.0 computing platform, a new generation of AI autonomous driving technology, MANA data intelligence system, and its strongest technical engineering experience.
Finally, there is a battle for scale of unmanned distribution solutions at the end. At present, Zhixing is already the core supplier of leading enterprises such as Meituan and Ali in this field, and they also sent representatives to the platform to speak at this event.
MANA和NOH
"Data intelligence" is a high-frequency word on AI DAY, and Zhixing believes that in the field of automatic driving, data intelligence is the "pearl" of AI autonomous driving technology and the success factor that ultimately becomes the winner. A sound data intelligence system is the cornerstone of the success of AI autonomous driving technology companies.
To this end, Gu Weihao, CEO of Mimo Zhixing, released Mana, China's first autonomous driving data intelligence system, at AI DAY, Chinese "Snow Lake". Gu Weihao likens it to the "thought stamp" of millima data intelligence, which will provide users with safer and better products at lower cost and faster iteration speed.
MANA is closely related to a formula - F=Z+M(X), which is the development curve of autonomous driving capabilities summarized by The End of Wisdom Walk through the precipitation and thinking of the mileage of 4 million kilometers of users. Among them, F stands for product force, Z stands for the first generation of products, and M is a function that transforms data into knowledge, including data acquisition, expression, storage, transmission, calculation, verification, and the impact on cost and speed, and MANA is the core M.
According to reports, MANA is composed of four subsystems: TARS, LUCAS, VENUS, and BASE, which correspond to the data prototype system, data generalization system, data visualization platform and underlying system. In terms of capabilities, MANA has the ability to perceive, cognitive, label, simulate, and calculate.
For example, in terms of perception ability, compared with the previous standard result fusion method, Miller adopts a more efficient process fusion method, and adds the characteristics of the timing to achieve spatio-temporal fusion, and then quickly increases the perception ability; at the level of cognitive ability, Gu Weihao believes that it is necessary to have three major elements of safety, comfort and efficiency; at the level of simulation ability, Miller compares the simulation system to the "automatic driving metaverse", and the efficiency is greatly improved by verifying the effect of perception and cognition in this "metacosm".
At the level of computing power, Gu Weihao judged that in the future, driven by intelligent cars, human recorded data is changing from text to image, and the storage and calculation scale of images will dominate, which will bring a new revolution to storage and computing. Gu Weihao announced a blockbuster news at the scene, the end of the MANA supercomputing center is in preparation, mainly for the needs of automatic driving data processing, training, reasoning and verification, which also promotes China's automatic driving into the era of supercomputing centers.
When it comes to supercomputing, we have to mention Tesla again, and from the comparison between the MANA data intelligence system of Millima Zhixing and Tesla's artificial intelligence technology panorama, it can be seen that both sides want to use data intelligence to drive the development of autonomous driving business, which also makes Millima Zhixing the most similar to Tesla's Chinese autopilot company.
MANA is the core driving force behind the evolution of all millimeter abilities. Following the launch of the smart pilot assistance system NOH for high-speed scenarios in November this year, the HPilot "City NOH" will be launched in mid-2022.
In addition, Gu Weihao also announced the intelligent driving roadmap of Millumer passenger cars at the scene: in the second half of 2022, Milliper will plan to deliver all-scenario NOH, and launch a fleet with HSD (HAOMO Self-Driving) in 2023.
Che Yun Summary:
The speed with which the wisdom of the company has been established for only two years is staggering. In terms of financing, the latest financing of 1 billion yuan has been harvested in this year; and on the mass production landing, the passenger car auxiliary driving system has been installed in tens of thousands of mass production vehicles, and unmanned logistics vehicles have also achieved good results.
At this AI DAY, whether it is the naming method of the event, or the release of the autopilot data intelligence system MANA and the supercomputing center to be built, or even the naming of HSD (Tesla is FSD), all show the ambition of The End of wisdom to compete with Tesla.
Data intelligence has become the core of autonomous driving, and a data war around autonomous driving has begun.