Judging from the current development situation, driverless driving will not only be a good vision. Some related new technologies have brought changes to the automotive industry.
In recent years, with the rapid development of next-generation information technologies such as cloud computing, big data, Internet of things, and mobile Internet and the “Internet†and its deep application in the traditional automotive industry, automobiles are gradually being networked, platformized, and service-oriented. With digital evolution, it already has the functions of assisted driving, partially automated driving, conditional autopilot, and even highly automated driving. There is no doubt that intelligent, electrified and networked vehicles are becoming an important trend in the automotive industry.
A year or two ago, at the size forum of the auto industry, we could always see some vehicles and parts, especially new ventures, dreaming of unmanned visions, and held on June 14th “2017 global unmanned The driving convention and exhibition conveyed a different signal: no matter the government, the industry, or the companies are busy making the driverless technology land as soon as possible. As Mr. Sa Xiangdong, co-founder of Mgca.com stated, “At present, driverless technology is not the biggest challenge, and the most difficult to land or will be the issue of public acceptance.â€
“In the past two years, we are still actively looking for partners, but now we have no problem with our customers. We need to achieve the industry-leading 77GHz millimeter-wave radar and 79GHz SAR imaging technology as soon as possible.†At the meeting, Beijing Yidao Technology Co., Ltd. The person in charge reflects the rapid development of unmanned technologies.
So, what new technologies will become important boosters on the road to commercialization of drones? Artificial intelligence, space-time big data, network graphics and image technology, high-precision positioning, millimeter-wave radar, and laser radar... How will the new forces that supply these products and services take root in the automotive industry? These are the focus of the 2017 Global Driverless Conference.
Take the lead in a new round of technological revolution
The conference was supported by the Ministry of Industry and Information Technology and the China Electronic Chamber of Commerce, and to a certain extent, the state's emphasis on driverless development. Wu Shengwu, deputy director of the Electronic Information Department of the Ministry of Industry and Information Technology, said at the scene: “Although China started late in the field of driverless technology, the gap is not large compared with foreign countries, and 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 program on "cognitive computing of visual and auditory information". In particular, the "China Smart Car Future Challenge" has been held for eight consecutive years, which has greatly promoted China's driverless cars. The level of research and development. At present, Chinese enterprises, colleges and universities, research institutes, etc. all show strong interest in driverless driving, continuously increase investment in R&D, and accelerate the research and application of common technologies. All kinds of progress made in the driverless field in China shows the enthusiasm and initiative of Chinese companies to participate in the automotive industry reform.
“Under the support of artificial intelligence and big data, driverlessness will create disruptive innovations.†Liu Longgeng, Director of Software Division of the Software and Integrated Circuit Promotion Center of the Ministry of Industry and Information Technology believes that the automotive industry is taking a little bit of the constant technological innovation. Release new value. He said that driverlessness is only one aspect of the evolution of artificial intelligence on the automotive industry, and the core of evolution lies in the reconstruction of the relationship between people and vehicles and the relationship between cars and cars, allowing cars, people, and roads (roads) to be intelligently brought together. The use of on-board sensors to sense the state of the vehicle itself, the surrounding environment, and to comprehensively process the acquired road, vehicle location, and obstacle information is a manifestation of artificial intelligence in big data.
Unmanned start to try to land
“The industrialization of drones is accelerating.†Professor Deng Zhidong of the State Key Laboratory of Intelligent Technology and Systems at Tsinghua University believes that the phase of research in the area of ​​research-led autopilot has basically ended, and the market-led second scenario has opened.
Not long ago, Tesla CEO Musk announced that all new cars will be equipped with "full autopilot" hardware system Autopilot2.0, and through OTA ECU software upgrades, its automatic driving function jumps directly from L2 to L4/L5 . It is reported that by the end of this year, Tesla Motors will drive from Los Angeles to New York in full 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 feature vehicles will be mass-produced.
So, how does the drone go to the ground at this stage? Rong Hui, vice president of the Beijing New Automobile Research Institute, spoke at the meeting that the development of driverless technology will make a huge change in the traditional car market, the future may be dominated by shared cars, and the entire vehicle industry will also be dominated by the current international Ten families have been reduced to a few.
Deng Zhidong is also a supporter of the viewpoint that driverless cars are first applied to shared vehicles. He believes that the sharing of driverless and intelligent value-added services will become the ultimate goal of smart travel, and the development trend of electrification, informatization, intelligence, and sharing is already very clear.
Sa Xiangdong’s view is that in the short term, the unmanned landing form may be a low-speed self-driving car traveling in an “enclosed environment†such as a park. It is understood that there are not a few companies that carry out research and development on "self-driving cars that drive at a low speed in a closed environment," and many capitals have also paid close attention.
New forces seek opportunities in cross-border integration
As an advanced stage of intelligent networked vehicles, driverless vehicles rely on car networking, artificial intelligence, visual calculations, sensors, monitoring devices, and high-precision positioning and navigation systems to achieve the automatic and safe driving of vehicles.
Wu Shengwu pointed out that the technological route implemented by drones focuses on the development of key component technologies represented by environment-aware technologies, high-precision positioning and maps, vehicle-mounted intelligent terminals and human-machine interface (HMI) products, and integrated control and execution systems. As well as multi-source information fusion technology, vehicle coordinated control technology, human-vehicle road cloud collaboration technology, communication and information exchange platform technology, electronic and electrical architecture, information security technology, human-computer interaction and co-drive technology, road infrastructure, and standards and regulations The representative of the common key technology research. On the whole, the process of promoting driverless development also needs to break through various technical bottlenecks and restrictions on various policies and regulations. However, challenges also mean opportunities. Companies such as automotive, electronics, telecommunications, and the Internet have tremendous room for development.
According to Yin Chengliang, deputy dean of the School of Mechanical and Power Engineering at Shanghai Jiaotong University, vehicle companies should not focus on the first-tier suppliers. The core technology of unmanned vehicles is likely to be in the hands of new components. Indeed, at this conference, the new forces of many parts and components, such as Hi-Tech Information, Zuozhi Auto, SaiSai Technology, Tucson Technology, Xingyi Avenue, Horizon, Chihiro, Yulin Information, etc., introduced the company’s navigation at the scene. Breakthroughs in positioning, big data, chips, algorithms, millimeter-wave radar, laser radar, vision, etc., and how their new technologies will help drive unmanned vehicles.
Zhao Jie, CEO of Beijing Expressway Technology Co., Ltd., cited two examples. First, Google’s driverless vehicles achieved the fusion of various sensing technologies such as laser radar, millimeter-wave radar, and cameras. The development trend of millimeter-wave radar focuses on high resolution. Rate, matrix, and intelligence; second, Bosch's high-precision map ecosystem, integrating the vehicle company cloud, map partner cloud (high-precision map layer provided by map partners), Bosch road characteristics cloud (camera road characteristics collected Information, road feature information collected by millimeter-wave radar).
Yin Yinji, Commercial Director of Shanghai Hi-Tech Information Technology Co., Ltd., said: “High-precision maps and high-precision positioning will play a crucial role in the unmanned era.†Insiders pointed out that satellite positioning companies based on the Beidou navigation and positioning module It will find its new position and unlimited opportunities in the driverless era.
At present, some satellite positioning companies are solving the problem of precise positioning of high-rises, elevated roads, parking lots, tunnels, jungles, and other areas that are severely blocked by module products. At the meeting, Beidou applications such as Chihiro location and Thousand Product Information introduced their own solutions for high-precision positioning throughout the day.
According to Deng Zhidong, artificial intelligence in the future will also play a significant role. He said that artificial intelligence can make use of deep convolutional neural networks to replace people for reliable perception of extreme environments, use deep reinforcement learning to replace people for autonomous decision-making in emergencies, promote revolutionary progress in deep learning, and communicate with high-precision maps and 5G communications. , Intelligent Networking, and the integration of ITS and smart cities.
At the meeting, people in the industry came to a consensus that the development of unmanned commercial vehicles requires cross-border integration and the formation of synergy. In the core industrial chain, new components and technologies with technical and market competitiveness will stand out in the automotive industry.
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