The development of the automatic driving industry is becoming the focus of the competition among the first tier cities in China. After Shanghai issued the first batch of demonstration application licenses of intelligent Internet connected vehicles to three enterprises, Wuhan has also taken a key step in the commercialization of unmanned driving in China. This means that China can not only carry out manned test on the open road, but also carry out commercial operation, and Wuhan is the first city in the country to take the lead in the commercial application of driverless.
At present, many cities in China are actively gathering industries in the field of automatic driving. The analysis shows that in the future, with the comprehensive application of artificial intelligence, big data, cloud computing and other technologies, the improvement of automobile intelligence, the gradual popularization of 5g network and the further maturity of vehicle road collaboration equipment and technology, automatic driving will accelerate to maturity.
The national intelligent Internet vehicle (Wuhan) test demonstration area was officially unveiled, and Baidu, Hailiang technology and DeepBlue technology obtained the world’s first commercial license for automatic driving. This means that licensed enterprises can not only carry out manned test on the open road, but also carry out commercial operation.
Baidu’s core competence in the field of automatic driving comes from its Apollo platform. Baidu previously said that the company has obtained a total of more than 100 automatic driving test licenses nationwide, which is also the most licensed enterprise in China. Hailiang technology has long released the alfaca intelligent driving public transport, while DeepBlue technology is committed to the basic research and application development of artificial intelligence, with a wide layout in the fields of intelligent travel, intelligent environment and AI city.
Shanghai issued the demonstration application license plate of the intelligent Internet vehicle based on the purpose of striving for more automatic driving enterprises to settle in Shanghai. Obtaining license plate is only the first step for the self driving enterprises to carry out road test in China. From technology research and development to landing to commercial operation, the self driving enterprises still face multiple tests. At present, there are no cities in China that allow autonomous driving enterprises to charge users for their test vehicles, so the road test can only stay in the free stage, and can not really achieve commercialization.
As an important part of equipment, the realization of intelligent driving of commercial vehicles is only the first step, more importantly, the realization of intelligent loading operation, such as intelligent fire-fighting equipment, is more conducive to the protection of firefighters’ life safety; and the intelligent rescue equipment, is more conducive to the protection of life and property safety in danger.
The industry generally believes that from 2020 to 2030, driverless vehicles will gradually be popularized all over the world. According to the report of market prospect survey and investment and financing strategy research of China’s driverless automobile industry in 2018-2023 released by China Business Industry Research Institute, the scale of the world’s driverless automobile in 2016 is about 4 billion US dollars, and the market development space is still large. By 2021, it is estimated that the global market size of driverless vehicles will reach 7.03 billion US dollars; by 2035, it is estimated that the global sales volume of driverless vehicles will reach 21 million. At present, the domestic driverless vehicle is still in its infancy. In the future blueprint, it has been deployed to multiple application areas, and China is expected to become the largest driverless market.
Autonomous driving is a major opportunity for the future of the automobile and technology industry. This market is becoming more and more crowded. The giants from the automobile and technology industry, such as Google, Baidu, Tesla, Uber, BMW, Honda, Ford, Nissan, apple, Didi, are all laying out. Besides, there are other players from different links, such as chip companies, cloud computing platforms, sensor companies, hardware companies Case company, machine vision company and so on, but at present, the competition pattern of automatic driving market has not been formed.
The development of automatic driving needs the joint efforts of technology enterprises and vehicle enterprises. For example, technology enterprises should be intelligent and unmanned, which is our advantage. There are also traditional car companies, new car companies and TL1 to provide new platforms. For example, BYD now opens the line control, and the operation of the executive agency, OTI. And software upgrades. So the algorithm becomes very important, and the function can be upgraded through the algorithm and software. There is also the rapid formation of industrial ecology, as well as solid-state laser radar, AI chip and vehicle computer, which are the key parts industry in the upstream. There are laser radar and multi-modal sensor fusion module, which are all computer vision. Lidar from the first generation of scanning, is now using a mixed solid-state lidar. This is a transition, the real industrialization is pure solid-state lidar. Now it has been pushed out at home and abroad. For example, there are OPI, flash and MEMS. And 1150 nm high-power lidar.
The real scene application is the strategic layout of the enterprise at present. For example, WIMI Hologram Cloud (NASDAQ:WIMI) and SenseTime, AI vision technology has been applied to multiple scenes. The naked eye holography technology of WIMI Hologram Cloud (NASDAQ:WIMI) has gathered its business application scenes in five professional fields, such as home entertainment, light field cinema, performance system, commercial publishing system and advertising display system.
The development of holographic 3D face recognition software is based on the image detection and recognition technology of holography features, template matching holography detection technology, and video processing and recognition technology based on deep learning and training. Traditional 2D face recognition technology is a recognition technology based on facial features, which captures information from facial images or facial video streams, and automatically detects and tracks the target face; WIMI Hologram Cloud (NASDAQ:WIMI) 3D face recognition technology is a combination of holographic image capture and 3D portrait recognition technology. WIMI focuses on the development and application of software technology, and has AI, machine recognition technology, machine learning, model theory and video imaging processing technology. Holographic 3D face recognition technology is a collection technology that uses structured light and infrared light. The collected feature points can be more than 30000; the traditional 2D face recognition technology can collect less than 1000 feature points. And 3D technology is less affected by the surrounding environment, which is expected to overcome many problems found in traditional 2D face recognition technology, such as light, posture, occlusion, dynamic recognition and facial expression.
WIMI Hologram Cloud (NASDAQ:WIMI)’s holographic image processing function is regularly optimized and improved, including two core technologies: holographic AI face recognition technology and holographic AI face change technology. Due to the development of video processing and recognition technology, WIMI Hologram Cloud (NASDAQ:WIMI)’s holographic AR advertising and holographic imaging services based on image detection, recognition, template matching, image dynamic fusion and replacement are currently in a leading position in the industry.
With the change of 5g holographic communication network bandwidth conditions, the 5g holographic application market will usher in an explosion. High-end applications such as holographic interactive entertainment, holographic conference and holographic conference will be gradually popularized to holographic social, holographic communication, holographic navigation and holographic home application. WIMI Hologram Cloud (NASDAQ:WIMI)project is based on the holographic AI face recognition technology and the holographic AI face changing technology as the core technology. It supports the holographic cloud platform service and 5g communication holographic application with multiple technological innovation systems.
With the continuous upgrading of intelligent and electric vehicles, driverless vehicles have become a major trend in the reform of the automobile industry. People’s transportation is facing more and more possibilities. The automobile is gradually changing from a means of transportation to a large-scale mobile intelligent platform. The total number of commercial vehicles in China has exceeded 35 million, and the output value of the whole industrial chain of commercial vehicles has exceeded 5 trillion. The intellectualization of commercial vehicles will not only have an impact on the driving mode, but also have a transformative impact on the industrial chain including design, R & D, manufacturing, circulation, finance, insurance, driving, transportation, urban security, export, dismantling, remanufacturing and so on. 2019 is the key year for traditional car enterprises’ automatic driving layout. After 2020, the L3 class automatic driving vehicle has begun to popularize, driving the industry chain in the next five to ten years.
Yu Mingyuan, director of the road traffic development research center of the road Science Research Institute of the Ministry of transport of China, told China news agency that the outline clearly proposes to strengthen the research and development of “intelligent vehicle, automatic driving and vehicle road coordination”, which points out the direction for the future development of intelligent Internet vehicles. At present, intelligent vehicle is a major investment hotspot, but in addition to intelligent vehicle, intelligent road network and strong communication network are also needed for intelligent network connected vehicle. Yu Mingyuan believes that the outline emphasizes intelligent vehicle, automatic driving and vehicle road coordination at the same time, and clarifies the technical development path for intelligent network connected vehicle in the future.
The transformation of automobile industry to the direction of intelligent networking is a recognized trend. We need to rely on the power of the market to promote and use commercial development to solve problems. China will definitely be the leader of the business application of ICV. With the advent of 5g era, ultra-high definition accurate map, real-time traffic monitoring and advanced driver assistance system and other technical means will be gradually realized. With lidar as the main and vision as the auxiliary, multi-sensor fusion will be built rapidly with the appearance of 5g.
Generally speaking, driverless driving not only needs the hardware technology of the car, but also needs a fast, stable and small delay network connection. Without the 5g network, driverless technology is just advanced technology, not life changing technology. With the blessing of 5g, the future of automatic driving and the Internet of vehicles will undergo revolutionary changes.
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