On December 23, the first "HAOMO AI DAY" after the upgrade of the Brand Day was officially staged. Because of the popularity of Tesla AI DAY, this AI autopilot technology feast belonging to Chinese practitioners has attracted attention.
The HAOMO AI DAY set up a venue in Beijing and Baoding, and Zhang Kai, chairman of Mo mo Chi Heng, and Gu Weihao, CEO of Mo Mo, led the partners to jointly bring a year-end finale of China's AI automatic driving technology, and announced the latest report card and the latest release: In 2021, the MO MO ai driving system has been installed in 5 models totaling tens of thousands of mass production vehicles, which is the most productive company in China's assisted driving mass production capacity; the mileage of passenger car users exceeded 4 million kilometers. In the next three years, it will carry 1 million passenger cars; in terms of unmanned vehicles in terminal logistics, the 1,000th vehicle mass production will be rolled off the production line at the end of the year... At the same time, HAOMO AI DAY released China's first autonomous driving data intelligence system MANA (Snow Lake); exposed the NOH test video and market time of the city at the end of the year, and launched the first shot of the 2022 China urban assisted driving competition; announced the preparation of China's first autonomous driving supercomputing center; and put forward ten all-round predictions for 2022 automatic driving, such as "Transformer and CNN integration" and "landing of large computing power platform"...
(Chairman Zhang Kai, CEO Gu Weihao, COO Hou Jun, CIO Zhen Longbao group photo at HAOMO AI DAY)
Zhang Kai, chairman of Zhixing, said, "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 2022, the number of projects at the end of the millennium is multiplied exponentially, the passenger car assisted driving project is expected to expand by 7 times, and the unmanned logistics vehicle project is expected to expand by 3 times. At present, sufficient technical ammunition and funds have been prepared to start a new journey. ”
(Zhang Kai, Chairman of Zhixing)
At the end of 2021, he handed over the "six firsts" report card, and 2022 will play three win-win battles
Just a day before HAOMO AI DAY, Zhixing just announced the completion of the A round of nearly 1 billion yuan of financing, and was promoted to the list of China's new unicorns and head players of autonomous driving. At THE HAOMO AI DAY, The End showed the posture of a new unicorn and handed over the "six firsts" report card of the industry in 2021:
True mass production real power. In 2021, the assisted driving system has been successively installed on the Weipai Mocha, Tank 300 City Edition, Weipai Latte, Weipai Maqiduo, Haval Divine Beast and other 5 models of tens of thousands of vehicles; in the field of unmanned logistics vehicles at the end, it has become an important partner of the industry's two major players, Meituan and Ali Damo Academy. In 2021, Millima ranks first in the mass production capacity of Chinese autonomous driving companies at the fastest speed, creating a "millimeter mode" of China's automatic driving.
At the same time, The company is at the highest in the industry in terms of the development and landing speed of the NOH Intelligent Pilot Auxiliary Driving System (8 months from project establishment to landing in parallel), the world's largest computing power platform Small Magic Box 3.0 (single board computing power reaches 360TOPS, and can be continuously upgraded to 1440TOPS), the three-year passenger car 1 million fleet, and data intelligence. Zhang Kai revealed that the revenue at the end of 2021 will also reach hundreds of millions of yuan, which is the fastest growing autonomous driving company in China.
In the face of the upcoming 2022, Zhang Kai put forward ten direction predictions for 2022 in his opening speech: data intelligence is the winner and loser of automatic driving mass production, transformer and CNN deep integration, large computing platform landing, urban intelligent pilot auxiliary driving mass production first year, the commercialization of the terminal unmanned logistics field presents continuity, Robotruck opens the road of mass production, intelligent cars gather to the head of the industry, AI perception technology and large computing platform integration, Safety has become a top priority, autonomous driving talent competition, etc... 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 industrial guidance value.
Based on these industry insights and predictions, Zhang Kai said that 2022 must be a hard battle for the end of the world. However, the strategic intention of the end is very clear, to win the "battle of data intelligence technology", "the battle of assisted driving city scenes", "the war of unmanned logistics vehicle scale at the end" three battles. In the face of challenges, the team will definitely work hard and be ready to win the three major battles in 2022 and usher in new milestones.
China's first autonomous driving data intelligence system MANA was released
As a blockbuster release of HAOMO AI DAY, Gu Weihao released Mana, China's first autonomous driving data intelligence system, Chinese name "Snow Lake". The name "Snow Lake" comes from the second part of the science fiction masterpiece "Three-Body Problem", "Dark Forest", the protagonist Luo Ji wanders between the starry sky, snowy mountains, forests, meadows and lakesides, and finally finds a way to solve the "three-body crisis" and save the earth. MANA (Snow Lake) carries the thinking of the end of the ai to lead to the dream of autonomous driving.
(Mana, China's first autonomous driving data intelligence system)
In the field of autonomous 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. In the industry, who can efficiently and cost-effectively mine the value of data, who can become the king of competition.
In response to this, Miller came up with a MANA based on millipede AI practice. Gu Weihao told the thinking process behind it: "Data is the biggest driving force of artificial intelligence, and it is also the biggest cost in the process of artificial intelligence progress. The improvement of autonomous driving products is a long evolutionary process, just like people in the long process of history, find ways to maintain life with the lowest energy consumption, develop intelligence and accumulate experience to evolve human civilization. Therefore, the core of data intelligence is to reduce costs and improve iteration speed. Gu Weihao likened it to the "thought seal" of milliper data intelligence, which will provide users with safer and better products at lower cost and faster iteration speed.
Through the precipitation and reflection on the mileage of 4 million kilometers of users, the development curve of automatic driving capability is summarized: F=Z+M(X). 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 impact on cost and speed. MANA is the core M of this. MANA consists of four subsystems: TARS (Data Prototype System), LUCAS (Data Generalization System), VENUS (Data Visualization Platform), and BASE (Underlying System).
Gu Weihao further introduced MANA from the five major capabilities of perception, cognition, annotation, simulation and calculation.
In terms of perception ability, for the current on-board camera and lidar of the perception equipment of the millile core, the core problem is how to make 1+1 achieve the effect of greater than or equal to 4. Compared with the previous standard result fusion method, the more efficient process fusion method is adopted, and the temporal and spatial fusion is added to the features of the timing, which quickly increases the perception ability.
In terms of cognitive ability, Gu Weihao believes that it is necessary to have three major elements of safety, comfort and efficiency. In terms of safety, The core of the self-developed safety cognitive model CSS is that the automatic driving system is not limited to ensuring that it does not actively make mistakes from a purely mechanical point of view, but also fully considers the understanding of the behavior of other traffic participants learned from the data and the historical experience of time-lapse; on top of the safety bottom line, learn comfortable and more efficient quantitative standards from the data, so that the automatic driving algorithm can better handle complex driving scenarios and formulate driving strategies that are more in line with user preferences. And through the automation of scene mining, reinforcement learning, simulation engine to build a cognitive intelligence closed-loop system, continue to extract knowledge from massive human driving data, and quickly iterate the ability of vehicle-side cognitive algorithms.
Milli is studying an end-to-end simulation learning, which is to use past examples as a guide to get specific local car actions from digital scenes. In this process, all the movements have been marked by people themselves as they drive themselves. Millimu selects the driving behavior of drivers who are more in line with the requirements and continues to train in different scenarios. At the same time, many deep reinforcement learning methods have been practiced, and a closed-loop automatic labeling system has been constructed, and an unsupervised automatic labeling algorithm has been used, which has greatly improved the efficiency of data labeling to meet the needs of large-scale mass production.
At the level of simulation capabilities, The simulation system is compared to the "autonomous driving metacosm", and the efficiency is greatly improved by verifying the effect of perception and cognition in this "metacosm".
Finally, at the level of computing power, Gu Weihao judged that in the future, driven by intelligent cars, human recorded data is shifting from text to image, and the storage and computing scale of images will dominate, which will bring new revolutions to storage and computing. Gu Weihao announced at the scene that the MANA supercomputing center is in preparation, mainly for the data processing, training, reasoning and verification needs of automatic driving, and China's automatic driving has entered the era of supercomputing centers.
One more thing: NoH in the city of Noh will be available in 2022
MANA is the core driving force behind the evolution of all millimeter abilities. Through the super capabilities created by MANA, the self-driving products of the millima are becoming more powerful and leading. Gu Weihao said that in the middle of 2022, the HPilot assisted driving system will soon launch a new function of "City NOH", which uses the world's largest computing power assisted driving domain controller small magic box 3.0, and specially optimized for the city's diverse and complex road conditions, with faster and more timely perception and response capabilities. HAOMO AI DAY also showed the current noH vehicle road test video in the end of the city, which showed many convenient functions facing the complex traffic environment in the urban area, such as traffic light recognition, avoiding traffic jamming vehicles at intersections, avoiding turning vehicles, automatically passing through the waiting area, navigating lanes, avoiding pedestrians, driving in and out of the roundabout, turning left at intersections without protection, and so on.
Gu Weihao announced the intelligent driving roadmap for Xiaomi passenger cars: in the second half of 2022, Miller will plan to deliver all-scenario NOH, and launch a fleet with HSD (HAOMO Self-Driving) in 2023. The technical power of MANA is emerging.
Great Wall Motors, Alibaba Cloud and other guests "star-studded" ecological partners to help the rapid development of the end
At the event site, dozens of partners such as Great Wall Motor, Meituan, Alibaba Cloud, Hillhouse Venture Capital, and Shougang Fund participated online and offline to share their feelings of cooperation with Mo mo and the latest industry insights.
(The last partner brought sharing on AI DAY: Haval God Beast Cui Pengbin, Meituan Li Da, Aliyun Intelligent Li Qiang, Qualcomm Venture Capital Mao Song)
Cui Pengbin, director of Haval Divine Beast Commodity, said that The mo mo has consolidated the flagship position for the high-end intelligent product technology advantages of haval shen beast, and the attitude and direction of the next product layout of the Haval brand have been laid out; Li Da, head of the open road business of the meituan unmanned vehicle distribution department, came to the scene, and he said that in the process of strategic cooperation with the haul in the production of automatic delivery vehicles, mo mo has provided high-quality products and services, improved the level of vehicle mass production, and helped the scale of meituan's automatic delivery vehicles on the road. Meituan has witnessed the rapid development of the end of the year, and believes that it will achieve more eye-catching results in the industry in the future.
Following the previous cooperation between Alibaba Dharma Academy's Little Wild Donkey and Zhixing, Li Qiang, Vice President of Alibaba Cloud Intelligence and General Manager of Alibaba Cloud Intelligent Automotive Industry, also participated in the HAOMO AI DAY activity for the first time. He introduced the cooperation between Alibaba Cloud and Mo mo. He proposed that on the one hand, the end of the year is comprehensively helping the quality assurance and large-scale mass production of the little wild donkey. On the other hand, the cooperation between Ali and Mo Mo is deepening and developing in all aspects. Alibaba Cloud should provide support for the rapid development of millimeter technology capabilities from multiple perspectives such as computing power, storage, security, and compliance. In the future, Alibaba Cloud is willing to join hands and explore the road of digital and intelligent transformation together.
Wu Xuefei, director of Hillhouse Venture Capital Wisdom Bank, said that Miller is the strongest enterprise with the core technology of full-stack autonomous driving in China, and it is also the strongest autonomous driving company in the market, and is very optimistic about the future development of Millais. Mao Song, senior director of Qualcomm Ventures, said, "Automotive intelligence is the core direction of future automotive industry transformation. Facing the future of travel, we will support the continuous innovation of autonomous driving solution service providers such as Mo mo Zhixing, which is mass-produced, to help the industry achieve faster development. ”
Finally, we look forward to it together: in the future, the social travel and logistics methods will be better in the future, equipped with the noH passenger car of the full-scene NOH of the Miller Zhixing, the fleet with the Millima Zhixing HSD, and more logistics unmanned vehicles of "Millima Manufacturing" on the streets.
(Editor-in-Charge: Linghua Kang)