Although Ali is very low-key in the field of automatic driving, based on his own industrial layout, he may be able to come from behind and win the top spot in the domestic auto driving industry.
On the 16th, Alibaba.com insiders stated that they are developing automatic driving technology for L4 and above, that vehicles have been routinely tested, and that they have the ability to test on open roads. Currently, this team is led by Professor Wang Gang, chief scientist of Alibaba AI Labs, and has a rapid development speed.
It is worth mentioning that CEO Zhang Yong of Alibaba Group once said in 2016 that driverless driving is the future direction of development. However, combined with the current status of domestic transportation, driverless driving still needs a long way to go before it is popularized in China. Alibaba will not consider doing driverless driving.
Many of the clues to layout autopilot have long appeared
Noah Ali has not been quiet
In the same BAT ranks, Ali and Tencent appear to be quite low-key compared to Baidu's "high-profile work." Just this month, Tencent’s self-driving car was accidentally caught by the “current†during the drive test. Today, with Alibi positively admitting the "autopilot layout", the domestic array of automatic driving players is finally complete.
In fact, although it was the last one to be disclosed, Ali was no better than Baidu and Tencent at the layout of the autopilot.
On May 18th, 2017, on the global authoritative machine vision algorithm evaluation platform KITTI, the AIDB artificial intelligence research institute iDST increased the accuracy of vehicle inspection to 90.46%.
At that time, there was speculation that Ali would have to do a drone? It was refuted by the team leader Hua Xiansheng using "technology applied to the city brain in Alibaba Cloud ET." From last year to this year, this reason has always been their "shield."
In 2017, the rookie's intelligent delivery robot "rookie G" was upgraded to a rookie G2 and a small Gplus. Among them, the small Gplus has the appearance of a truck and has the functions of planning route, avoiding obstacles, and automatically taking the elevator;
In 2018, the rookie unmanned vehicles developed by the rookie ET laboratory were road tested on public roads. Their appearance was square, only one cargo box, no cab, and the volume was less than half that of ordinary cars. It was possible to strictly comply with traffic lights. Safe obstacle avoidance and so on......
Among these, whether it is computer vision technology, or route planning, environment awareness technology, etc., are necessary for self-driving cars. However, although many clues have attracted everyone to speculate, but can not stand tight Ali. Therefore, before the news was revealed today, Ali’s “autopilot†was just a “secret†that everyone had in mind.
BAT is in place
Different styles of play in the automated driving market
In the Internet era, in the three major areas of search, social networking, and e-commerce, BAT is basically a river of water. In the automated driving market, their target groups are almost coincident, but they are essentially different in the final implementation of the needs and services.
Ali is too low--establishing a joint venture company to create an autonomous intelligent car network ecosystem
In the field of automatic driving, Ali's hand is the "Intelligent Network of Automotive Ecology Circle."
On July 28, 2011, Alibaba Cloud officially launched YunOS to provide intelligent services for the Internet of Things. In September 2017, Ali renamed “YunOS†to “AIios†and released it in a new release, focusing on the automotive and IoT fields. In the area of ​​intelligent connected cars, based on the AIios platform, Ali and automotive companies explore how platforms and other software can better coordinate with automotive hardware.
Currently, Alibaba's AIios platform has access to more than 60 partners and companies. At the Shenzhen Summit of the 2018 Yunqi Conference held last month, NXP, the world's largest automotive semiconductor company, reached a strategic cooperation with the AIios platform and launched technical and commercial cooperation in the field of intelligent networked vehicles. All these will help them to attract partners and expand the auto-pilot layout.
At the same time, in the area of ​​vehicle networking, Ali also established a joint venture with SAIC Motor Corporation, a joint venture between SAIC Motor and SAIC Motor Co.
As far as self-driving cars are concerned, in addition to technology, it is more crucial to commercialize "car networking services." In the layout of the autopilot, Ali has long chosen to use the "Intelligent Netlink Auto Ecosystem" as an entry point.
Pioneering Baidu--Open Technology Platform to Help Automate Friends
In March 2017, Baidu incorporated the Intelligent Driving Business Group (IDG) in its Automated Driving Business Unit (L4), Smart Automotive Business Unit (L3), and Car Life Services.
Then, in April, Baidu officially announced the "Apollo" automated driving platform, which provides an open, complete, and secure software platform for partners in the auto industry and autonomous driving areas to help them quickly build a complete set of vehicle and hardware systems. Automatic driving system.
Currently, including Beiqi, Horizon Robotics, Nvidia, FAW, JAC and other companies, there are already more than 80 partners access Baidu Apollo platform. And look at Baidu himself, its self-driving car has already started the road test.
In essence, Baidu's Apollo platform focuses on "technology", and in the area of ​​car networking and cloud services, it chooses to cooperate with others. For example, at the beginning of this month, Baidu and Chongqing Xiaokang Industry Group Co., Ltd. signed a strategic cooperation framework agreement, and the two sides will conduct in-depth cooperation in areas such as autopilot, car networking, and cloud services.
In addition, since November last year, the Ministry of Science and Technology first announced that it will rely on Baidu to build a new generation of national driving artificial intelligence open innovation platform, and then Baidu has successively obtained Beijing, Chongqing and the annex's auto pilot vehicle test license. It can be said that in the field of automatic driving, Baidu has taken a leading position.
Tencent late - four directions to provide a total solution
In April this year, the Tencent Autopilot prototype was first tested on the Fourth Ring Road in Beijing. This was its debut. Since 2016, Tencent has started its own autopilot layout. The first step is to invest in Didi and NavInfo. For example, the latter can provide technologies such as high-precision maps for Tencent's self-driving cars.
At the Tencent Partner Conference in 2017, Su Kuifeng, director of Tencent’s automated driving laboratory, first revealed Tencent’s layout in autopilot. In simple terms, Tencent's architecture is divided into four parts: high-precision maps, scene data, simulation platforms, and hardware platforms.
Among them, high-precision maps can provide location protection; tagged scene data will promote the evolution of the algorithm; the simulation platform will use Tencent's technology in street view, high-precision maps, games, and AR to build a virtual reality simulation environment to help the car complete Extreme environmental testing to create a better user experience. The hardware platform, together with partners, creates a platform for the continuous evolution of cloud-based and vehicle-side support for autonomous driving technology.
Just today, Tencent and FAW reached a comprehensive strategic cooperation. This is the sixth automaker to cooperate with Tencent. Based on Tencent's high-quality resources such as social networking, maps, entertainment, and payment, the two sides will continue to explore the idea of ​​jointly building an “Internet+Car†smart interconnected ecosystem. In the field of automatic driving, both sides will cooperate on the basis of high-precision maps, automatic driving algorithms, and simulation tests, and jointly develop automatic driving solutions and models for L3/L4 surface vector production.
From the above perspective, in the layout of automatic driving, Baidu chose to attack the main technology, Ali chose to focus on smart Internet ecosystem, and Tencent seems to have to grasp, but technically, it seems more biased At the auxiliary level.
At the end: Domestic auto driving heat is further upgraded
Low-key Ali or will come from behind
The latest research report released by McKinsey, a global management consulting company, shows that China is likely to become the world's largest auto-driving market in the future. By 2030, auto-driving-related sales of new cars and travel services will generate more than 500 billion US dollars. From the perspective of vehicles, about 8 million cars in China by 2030 are self-driving, and by 2040 this number will reach more than 13 million.
From this point of view, the pattern of the domestic auto-driving market is very promising in the future. With the full incorporation of BAT, the competition for domestic autonomous driving is further upgraded.
At the same time, we can clearly see that the policy on autonomous driving is gradually being relaxed under the premise that the country is focusing on artificial intelligence:
On December 18, 2017, the Beijing Municipal Traffic Police Committee, the Municipal Public Security Traffic Control Bureau, the Municipal Economic Information Commission and other departments promulgated the "Rules for the Implementation of Road Test Management of Beijing's Autonomous Vehicles (Trial)", giving legality to the autopilot test drive;
On April 11, 2018, the Ministry of Industry and Information Technology, the Ministry of Public Security, and the Ministry of Transport jointly issued the "Intelligent Net Alliance Automobile Road Test Management Regulations (Trial)" and was officially issued, and will be implemented on May 1, 2018. The implementation of this policy means that "driving cars" will soon be tested on the road;
......
At the same time, the construction of infrastructures such as 5G and automatic driving test parks is gradually accelerating. It can be said that with the gradual liberalization of policies, the gradual improvement of infrastructure and the improvement of related technologies, the domestic market for automated driving is extremely clear.
However, to refine market share, factors such as Baidu’s open-source algorithm, and the barriers to autonomous driving between vendors are gradually declining. This means that the competition has shifted from technology to other areas, such as intelligent network ecosystems. The complete circle.
Just like the Internet of Things, in the commercialization, automatic driving is not uncommon, and the final key lies in the quality and quantity of services. Talking about here, although Ali is relatively low-key, it is still very likely to come out on top.
How to say? First of all, its layout in autopilot is itself oriented towards “servicesâ€, and it has built a platform and established a company. This is a point that it is stronger than Baidu at the service level.
Secondly, the realization of autonomous driving relies on various types of perception technologies, big data, and cloud services. At the big data level, BAT is commensurate with the three, but Yu Yun, Alibaba Cloud is already the No. 1 in China, and IaaS is For example, it occupies nearly half of the domestic cloud service market and is five times as many as the second. The calculation speed and other indicators have already been recognized by the industry.
In general, at the level of autonomous driving technology, Ali, who has not yet revealed more news, may not be able to compare with Baidu, who has already gone one step ahead. However, relying on technologies such as cloud services, it has its own advantages in the construction of the smart network ecosystem. Compared with smart technologies, the quality and quantity of “service†is the key to the commercialization of its products. As a result, Ali, who focuses on services, will be the top pick in the domestic auto-pilot competition.
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