From the current development situation, unmanned driving will not only be a good vision, but some related new technologies have brought changes to the automotive industry.
In recent years, with the rapid development of cloud computing, big data, Internet of Things, mobile Internet and other new generation information technologies and the "Internet" and its in-depth application in the traditional automotive industry, cars are gradually becoming networked, platformized, and serviced. And digital evolution, already equipped with assisted driving, partial autopilot, conditional autopilot and even highly automatic driving. There is no doubt that automotive intelligence, electrification and networking are becoming important development trends in the automotive industry.
A year or two ago, in the large and small forums of the automotive industry, we can always see some of the complete vehicles and parts, especially the startups, thinking about the vision of unmanned driving, and the "2017 global unmanned" held on June 14th Driving conventions and exhibitions convey a different signal: no matter government, industry, or business, they are busy letting unmanned technology land as early as possible. As Sai Xiangdong, co-founder of Magnesium Guest Network, said, “At present, driverless technology is not the biggest challenge. The most difficult thing to land is the issue of public acceptance.â€
“In the past two years, we are still actively looking for partners, but now we are not satisfied with our customers. We just need to make the 77GHz millimeter wave radar and 79GHz SAR imaging technology lead the industry as soon as possible.†At the meeting, Beijing Xingdao Technology Co., Ltd. The relevant person in charge reflects the current state of rapid development of driverless related technologies.
So, what new technologies will become important boosters on the road to unmanned commercialization? Artificial intelligence, spatio-temporal big data, network graphics and image technology, high-precision positioning, millimeter-wave radar, laser radar... How will the new forces of parts and components that provide these products and services take root in the automotive industry? These are the focus of the 2017 Global Driverless Conference.
Leading the way in a new round of technological revolution
The conference was supported by the Ministry of Industry and Information Technology and the China Electronics Chamber of Commerce. To a certain extent, the state attaches great importance to the development of unmanned driving. Wu Shengwu, deputy director of the Department of Electronic Information of the Ministry of Industry and Information Technology, said at the scene: "Although China started late in the field of driverless technology, it is not a big gap compared with foreign countries. It is entirely possible to grasp the opportunities in the new round of technological revolution. â€
Since 2009, the National Natural Science Foundation of China has launched a major research project on “Cognitive Computing of Audiovisual Informationâ€, especially the eight-year “China Smart Car Future Challengeâ€, which has greatly promoted Chinese driverless cars. R&D level. At present, Chinese enterprises, institutions of higher learning, scientific research institutions, etc. have shown strong interest in unmanned driving, continuously increase investment in research and development, and accelerate scientific research and industrialization application and promotion of common technologies. China's progress in the field of unmanned driving shows the enthusiasm and initiative of Chinese companies to participate in the transformation of the automotive industry.
"With the help of artificial intelligence and big data, unmanned driving will produce subversive innovations." Liu Longgeng, director of the Software Division of the Software and Integrated Circuits Promotion Center of the Ministry of Industry and Information Technology, believes that the automotive industry is making a little bit of technological innovation. Unleash new value. He said that driverlessness is only one aspect of the evolution of artificial intelligence to the automotive industry. The core of evolution lies in the reconstruction of the relationship between people and vehicles and the relationship between vehicles and vehicles, so that cars, people and roads (roads) can be intelligently assembled. Using on-board sensors to sense the state of the vehicle itself, the surrounding environment, and comprehensively process the acquired road, vehicle position and obstacle information is a manifestation of artificial intelligence under big data.
Unmanned driving begins to try to land"The industrialization of driverless driving is accelerating." Professor Deng Zhidong of the State Key Laboratory of Intelligent Technology and Systems at Tsinghua University believes that the stage of research leading the field of automatic driving has basically ended, and the second scene of market-oriented has been opened.
Not long ago, Tesla CEO Musk announced that all new cars will be equipped with Autopilot 2.0, a hardware system with full autopilot capability, and can be upgraded with ECU software via OTA. Its autopilot function jumps directly from L2 to L4/L5. It is reported that before the end of this year, Tesla will drive from Los Angeles to New York in a fully automatic driving mode. In fact, nearly 20 global companies such as Volvo, Ford, BMW, Google, Baidu, and Intel have announced that 2021 will be the first year of driverless cars, and some L4-featured vehicles will be mass-produced.
So, how do you land at this stage? Rong Hui, deputy dean of BAIC New Technology Research Institute, said at the meeting that the development of driverless technology will make a huge change in the traditional automobile market. In the future, it may be dominated by shared vehicles, and the whole vehicle companies will be dominated by the current international mainstream. Ten families have shrunk to a few.
Deng Zhidong is also a supporter of the idea that driverless cars are first used in shared vehicles. He believes that sharing unmanned driving and intelligent value-added services will become the ultimate development goal of smart travel. The development trend of electrification, informationization, intelligence and sharing is very obvious.
Sa’s view to the East is that in the short term, the unmanned landing form may be a low-speed, self-driving car that travels in a “closed environment†such as a park. It is understood that there are not a few companies that develop "automobiles driving at low speeds in a closed environment", and many capitals have also paid close attention.
New forces look for opportunities in cross-border integrationAs an advanced stage of intelligent networked vehicles, unmanned driving relies on vehicle networking, artificial intelligence, visual computing, sensors, monitoring devices and high-precision positioning and navigation systems to achieve automatic and safe driving of vehicles.
Wu Shengwu pointed out that the technical route of unmanned driving is focused on the research of key component technologies represented by environment-aware technology, high-precision positioning and maps, vehicle-mounted intelligent terminals and human-machine interface (HMI) products, integrated control and execution systems. And multi-source information fusion technology, vehicle collaborative control technology, human-car road and cloud collaboration technology, communication and information interaction platform technology, electronic and electrical architecture, information security technology, human-computer interaction and common driving technology, road infrastructure, standard regulations, etc. Representative of the common key technology research. In general, the process of promoting unmanned development also needs to break through various technical bottlenecks and restrictions of various policies and regulations. But the challenge also means opportunities. Enterprises such as automobiles, electronics, communications, and the Internet have huge room for development.
Yin Chengliang, deputy dean of the School of Mechanical and Power Engineering at Shanghai Jiaotong University, believes that auto companies should not focus on Tier 1 suppliers. The core technology of unmanned driving is likely to be in the hands of new forces. Indeed, at this conference, Haiji Information, Zuozhi Auto, Hesai Technology, Tucson Technology, Xingdao Technology, Horizon, Chihiro Location, Yulan Information and many other new forces introduced the company in the navigation. Breakthroughs in positioning, big data, chips, algorithms, millimeter-wave radar, laser radar, vision, and more, and how their new technologies will help drive unmanned implementation.
Zhao Jie, CEO of Beijing Xingdao Technology Co., Ltd., cited two examples. One is that Google's driverless cars have realized the integration of various sensing technologies such as laser radar, millimeter wave radar and camera. The development trend of millimeter wave radar is concentrated on high resolution. Rate, matrix and intelligence; Second, Bosch high-precision map ecosystem, integrated vehicle enterprise cloud, map partner cloud (high-precision map layer provided by map partners), Bosch road feature cloud (road features collected by camera) Information, road feature information collected by millimeter wave radar).
Yin Nianji, Commercial Director of Shanghai Haiji Information Technology Co., Ltd. said: “High-precision maps and high-precision positioning will play a vital role in the era of driverless driving.†Industry insiders pointed out that satellite positioning enterprises based on Beidou navigation and positioning module It will find its new position and unlimited opportunities in the era of unmanned driving.
At present, some satellite positioning enterprises are solving the problem of accurate positioning of urban high-rise buildings, elevated buildings, parking lots, tunnels, jungles and other areas with serious occlusion through module products. At the meeting, the satellite positioning companies of the Beidou application, such as Chihiro location and Qianji Information, introduced their solutions for high-precision positioning throughout the day.
In Deng Zhidong's view, artificial intelligence will also play a huge role in the future. He said that artificial intelligence can use deep convolutional neural networks to replace people's reliable perception of extreme environments, use deep reinforcement learning to replace people's decision-making in emergency situations, promote revolutionary progress in deep learning, and communicate with high-precision maps and 5G. , intelligent network and ITS and smart city integration.
Industry players have reached a consensus at the meeting, the development of unmanned commercialization needs cross-border integration and formation of synergy, and in the core industry chain, new forces of parts and components with technological and market competitiveness will stand out in the automotive industry.
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