Recently, many places have continuously opened the scope of automatic driving road test. Six cities, including Beijing, Shanghai, Guangzhou, Changsha, Wuhan and Cangzhou, have been opened for manned test. How far is it from us? What are the problems of urban automatic driving environment? How to build industrial ecology The reporter interviewed relevant experts and insiders.
On August 24, Guangzhou Transportation Bureau said that it had carried out the road test of intelligent network connected vehicles, issued 55 test notices and opened 67 test roads with 135 kilometers. Prior to that, Changchun industry and Information Technology Bureau and other three departments jointly issued the "notice" and selected the corresponding sections of Changchun automobile economic and Technological Development Zone as the test road of intelligent network connected vehicles Recently, many places have continuously opened the scope of automatic driving road test. How far is it from us? How to deal with the unprecedented changes in the automotive industry?
The development of intelligent vehicles exceeds expectations
"The direction of the automotive revolution is intelligence and networking, which is also the focus of future competition." At the third global smart car frontier summit recently held, Chen Qingtai, chairman of the China electric vehicle 100 people's Association, pointed out that the automobile revolution is not carried out in isolation, but in parallel with the energy revolution, information revolution, transportation revolution and the construction of smart cities. Next, we should put the networking and intelligence into a more important position, which is the focus of future competition and full development It is necessary for automobile revolution to benefit the society.
Chen Qingtai said that in the future, intelligent connected electric vehicles will be the leading core products of energy revolution, information revolution, transportation revolution and smart city construction. It can widely absorb new energy information, networking, intelligence, big data, as well as new technologies, new materials, electronic power, advanced manufacturing and other new development, new potential energy, and become a large platform for the integration and innovation of many industries.
At present, with the rapid update of basic technology, the development of intelligent technology system of automobile has become more perfect, and the intelligent connected vehicle has a more detailed and specific landing scene. From L2 to L5, each level of automatic driving has successively developed technologies and product systems with market application prospects. On the one hand, it enriches the connotation of automobile intelligence, on the other hand, it also makes the intelligent landing speed exceed expectations.
The national level also attaches great importance to the development of intelligent connected vehicles. In September last year, the CPC Central Committee and the State Council issued the outline for the construction of a transportation power, proposing to strengthen the research and development of intelligent networked vehicles (intelligent vehicles, automatic driving, vehicle road coordination), and form an independent, controllable and complete industrial chain. In February this year, a number of ministries and commissions jointly issued the "smart car innovation and development strategy", which proposed to comply with the trend of a new round of scientific and technological revolution and industrial revolution, seize the opportunity of industrial intelligent development strategy, and accelerate the innovation and development of intelligent vehicles.
Under the trend of intelligent, traditional automobile enterprises have accelerated the transformation. Chen Hao, vice president of Dongfeng Motor Co., Ltd. and deputy general manager of Dongfeng Nissan Passenger Car Co., Ltd., disclosed that Dongfeng Nissan introduced Nissan's propilot automatic driving assistance system, and carried out localization development in combination with China's complex and changeable road conditions; and cooperated with Baidu, Alibaba, Tencent, Huawei and other Internet leading enterprises to build an open and extensible intelligent application platform Taiwan, carrying out cross-border ecological cooperation, etc.
According to Feng Xingya, general manager of Guangzhou Automobile Group Co., Ltd., GAC group mainly takes three actions: first, focus on core technology research and development to provide intelligent automobile products trusted by Chinese consumers; second, taking Zhilian new energy automobile industrial park as the carrier, striving to build an intelligent automobile industrial cluster with global competitiveness; third, open cooperation, win-win symbiosis, and upstream and downstream Cooperation forms a community of common destiny.
Vehicle road collaborative development recognized
At present, among the cities that have opened the automatic driving road test in China, six cities have opened the license of manned test, including Beijing, Shanghai, Guangzhou, Changsha, Wuhan and Cangzhou. It is reported that in the cities open to the national automatic driving test, there are three enterprises that actually carry out the manned test of automatic driving cars and have large-scale fleet (30 or more): Baidu Apollo, Wenyuan Zhixing / Wenyuan Yuexing and Xiaoma Zhixing.
Ran bin, President of the Joint Research Institute of intelligent network transportation of Southeast University and University of Wisconsin, believes that vehicle road coordination is to regard road and vehicle as a complete system, and use smart roads to make up for the deficiencies of intelligent network connected vehicles, and improve safety, reliability and related functions. The development of intelligent vehicles with vehicle road coordination will soon realize the third level of automatic driving.
Feng Xingya also believes that the solution to adapt to the Chinese market is the combination of single vehicle intelligence and vehicle road coordination. The huge market capacity, the innovation of consumer Internet business model, and the unique advantages of 5g system, artificial intelligence, software talents and other aspects will give birth to intelligent cars based on China's ecological industry.
"Although many cities are very active in the development of autonomous vehicles, the starting point is different and the landing methods are different. Some cities just want to advertise themselves, and enterprises can't participate after they go; some cities don't know how to do it, because the industry is too new and too big, and there is a lot of blindness in operation. " Zhang Yongwei, secretary general and chief expert of China electric vehicle 100 people's Congress, pointed out that at present, industrial ecology cannot be formed only by a single enterprise.
Zhang Yongwei believes that the solution of autonomous city must be the result of the joint participation of innovative ecology and multi-agent; it is also necessary to establish a set of promotion mechanism, which not only needs the foresight of urban decision-makers, the organizational guarantee of the promotion process, but also the support of policies and regulations that have the courage to try first.
"How the test environment is, how long the open road mileage is, whether there are rich types of roads, and whether an integrated data platform can be provided are all important factors that determine whether enterprises can be attracted." Zhang Yongwei said that at present, the automatic driving environment at the level of urban construction is facing many challenges, such as emphasizing construction over operation, emphasizing data but lacking application, lack of top-level design and lack of strategic vision, etc., and much work needs to be further straightened out.
In the final analysis, technology is king
Li Qian, vice president of China Express Technology Co., Ltd., said that in the tide of new energy vehicles and intelligent driving, emerging car manufacturing enterprises have accumulated a lot of experience of success and failure. He does not quite agree with the concept of preemption. He thinks that enterprises should strive to polish their products, algorithms and architectures, and "it should be slow to plan".
At present, intelligent driving technology is in the process of continuous upgrading. In the final analysis, enterprises either prepare for the intelligent infrastructure of bicycles or make breakthroughs in the brain of autonomous driving. In the final analysis, technology is the king. "There are many levels of automobile intelligence, and the development speed will be very fast." Zhong Zhihua, an academician of the Chinese Academy of engineering, pointed out that if enterprises did not pay attention to this trend in time, they would certainly fall behind.
Mo Luyi, general manager of Xiaoma Zhixing, believes that the automatic driving technology is in a high-speed development stage and has not reached the level of discussing competition. The whole industry is constantly trying to break through the technical difficulties in order to solve the problem of unmanned and large-scale. Any auto driving enterprise that solves any problem is a milestone breakthrough in the whole industry. Only when the whole industry constantly promotes technological progress can we really discuss the large-scale commercial landing.
"Smart cars have shifted from laboratory and demonstration operations to mass production, and new products to the market are also the process of new technology landing and consumer inspection." Feng Xingya believes that at this stage, enterprises, capital and the public are no longer confused by the concept, but have entered a cooling off period. This is the law for the development and growth of new technologies and new things, and the only way for industrialization.
He said that at this key point of development, the whole industry should be both "prudent" and "bold". Strategically, it can be radical, and tactically, it should keep up with the development of technology and market, build its own competitiveness, actively face the difficulties and challenges in the development process, and promote the intelligent transformation of the automobile industry with the help of the advantages.