SAIC Smart Driving Map: 5G, Internet of Vehicles, Maps

Ford, GM, Volkswagen and other European and American car companies have been buying and buying in the autopilot field. Ford has invested 150 million yuan and 7,500 dollars respectively to invest in Pivotal software company and laser radar company Velodyne. GM also has a $1 billion acquisition of Cruise. . In contrast, domestic car companies are generally low-key, mostly seen in strategic cooperation, with less capital binding.

However, at a recent media communication meeting of SAIC technical executives, it was learned that SAIC has made a series of attempts in the field of automatic driving in recent years, and has invested a lot of capital in high-precision maps, artificial intelligence algorithms, and system solutions. This is very rare in China.

According to Cheng Jinglei, chief engineer of SAIC Group, SAIC's deployment in the field of autonomous driving is dominated by two Chinese and foreign departments. The domestic is SAIC's forward-looking technology research and development department. In April this year, the department officially displayed SAIC's level 4 Autopilot technology, another division is SAIC's venture capital and innovation department established in Silicon Valley two years ago. It has invested in Auto X and automated map company Cicvil maps. The former is the key figure of former Princeton University artificial intelligence. Dr. Jianxiong was founded.

SAIC’s latest heavy shot was on September 28th to acquire Wuhan’s high-precision map company, Guangting Information Technology, a veteran map supplier in the field of automotive electronics. In 2013, it began investing in high-precision maps.

In addition to the acquisition, SAIC is also cooperating with Momenta, a crowdsourcing high-precision map project in China, and DeepMap, a high-precision map in Silicon Valley. In terms of chip and camera sensors, it also has technical development cooperation with Intel and Mobileye.

Perhaps you have already questioned why SAIC has invested a lot in the field of high-precision electronic maps. This is related to the attitude of SAIC as a traditional car company to the automatic driving technology.

“SAIC is more focused on a gradual strategy, paying more attention to systematic solutions, combining safe and reliable technical solutions with more new technologies.” Cheng Jinglei said. High-precision electronic maps are an important redundant design in the sensing process, in addition to hardware sensors such as cameras, laser radars, and millimeter-wave radars.

On the whole, similar trade-offs between the pursuit of innovative technologies and the logic of complying with traditional industrial products run through SAIC's deployment of the smart driving industry.

Why is Wuhan Guangting?

Zhang Cheng, general manager of the forward-looking technology research department of SAIC, said that the cooperation between SAIC and KOTEI information is: the shareholding of Guangting information, and the increase in capital holding Zhonghaiting.

In September 2106, map mapping company Zhong Haida announced that the company plans to invest 36 million yuan to cooperate with Guangting Information to operate a high-precision navigation map company, focusing on the collection and processing of high-precision navigation maps. The joint venture company is called Zhonghaiting.

The establishment of Zhonghaiting integrates the strengths of Guangting Information itself in map data processing technology and the strengths of Zhonghaida data mapping, which is why it has become the focus of SAIC's investment.

"The purpose and purpose of China Shipping Architecture itself is very focused, so SAIC has adopted a cooperation with China Haiting to increase capital. In terms of this platform, Zhonghaiting will be the main system in technological development and commercial development in the future." Zhang Cheng said.

Of course, many people care that with the relationship between Ali and SAIC, Gaode may be a suitable partner. The latter also has the qualification of surveying and mapping, and has been deployed in the field of high-precision map for many years. In addition, NavInfo and Baidu are highly accurate. The star companies of the map have also been connected to Bosch's road feature platform program.

First of all, in terms of capital binding, it is not difficult for SAIC to choose Wuhan Guangting. The market valuation and strategic direction of Gaode, Baidu and NavInfo are obviously more difficult to control;

Secondly, SAIC needs a map product that can deeply understand the automotive electronic development environment and quickly apply to automotive terminals. Guangting Information has many years of experience in automotive electronics embedded development and car navigation production.

"Guangting has expanded the definition of intelligent driving high-precision map technology in the compilation format, which coincides with SAIC's prior knowledge of prophecy for intelligent driving." Zhang Cheng pointed out. After the acquisition of Guangting, the two parties will follow the requirements of SAIC's forward-looking technical department for high-precision electronic maps to assist in intelligent driving of level 4 or above, and carry out follow-up project development and capacity building.

Moreover, regarding the follow-up application of high-precision maps, SAIC has also put forward a lot of ideas, such as the launch of REM crowdsourcing map concept like Mobileye and Here. However, Liu Fen, director of intelligent driving division of SAIC Prospective Technology Research Department, said that SAIC is high. The source of the fine map crowdsourcing data is more from the autopilot test vehicle.

It is understood that SAIC has obtained the auto-driving road test license of California DMV, and currently conducts road test at the same time in Anting Auto City and the United States.

Conservative and radical

The acquisition of a high-precision map company is clearly a “radical” move in the forward-looking technology layout of domestic automakers. In fact, SAIC has a lot of initiatives in this regard, including the conclusion of the contract with Ali in early 2014 to set up the Internet industry fund. Today, SAIC's Roewe and MG series have become the window of the car network.

At the same time, in the field of automatic driving, SAIC also adhered to the deployment strategy of “long guns and short guns”:

It not only develops bicycle intelligence, but also explores the construction of an overall transportation system based on the Internet of Things (ie, vehicle-to-vehicle communication, vehicle-to-network communication, vehicle-to-person communication, and communication with people's traffic signals) in a 5G environment.

In terms of external vehicle networking, SAIC is cooperating with Huawei and China Mobile to develop 5G technology, and strives to build China's car networking communication protocol in addition to the US DSRC.

"5G technology is not the same as that used in mobile phones and mobile phones. Its specifications and definitions need to work together. As an automobile company, we must deeply participate in technical understanding and commercialization expansion." Zhang Cheng said.

In terms of cycling intelligence, opportunities seem to be much more complicated than car networking. Lidar, high-precision maps, AI algorithms, etc. are almost everywhere fortresses. Cheng Jinglei admits that the investment process is still a bet state. "If you say everything and everyone can understand it, it will have nothing to do with you."

But even if the autopilot track is complicated, SAIC has its own investment principles.

For example, SAIC invested in Auto X, which is based on its many autopilot projects in Silicon Valley, insisting on the use of camera solutions, and taking a low-cost, easy-to-reach route.

The purpose of SAIC's strong bet on the map industry is also in its pursuit of technical stability and popularity.

“Only when there is strong artificial intelligence or even super artificial intelligence, high-precision maps can be used.” Zhang Cheng said that in the current stage where sensors and algorithms are not mature enough, high-precision maps are indispensable for redundant design of sensing links. "For a simple example, Shanghai is raining heavily on Monday, or at night, there is 10 cm of water on the road. If there is no high-precision map, the camera sees the ocean, there is no lane line, nothing, the vehicle is on. If you don't go, this kind of intelligent driving is catastrophic, and the high-precision map will be a 'remote sensing sensor' that can tell the vehicle where the lane information is."

Intelligent driving is a multi-dimensional competition. SAIC has a clear promotion path, and has invested in high-precision maps, system solutions, etc., not in terms of the development needs of the entire industry, in the introduction of AI algorithms and talents. And the development of emerging sensors, etc., there are still a lot of work waiting to advance.

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