Industry trends "unmanned" The market can be expected in the future

Currently, worldwide, some developed countries in Europe, Asia, North America and Australia are starting to launch autopilot autopilot Act or approved public road test. Among them, Germany, Britain, Sweden, Denmark, Japan, Korea, Singapore has passed the relevant bill; French, Australian legislation is under way; Finland, Canada, the Netherlands, China, the United States opened the automatic driving road test; the Netherlands, California and Arizona is not allowed to accompany the driver of autonomous vehicles on the road. By the end of 2018, China has been in Beijing, Shanghai and Chongqing three cities opened automatic driving road test.
  
  December 27, 2018, the Ministry of Industry in the "car networking industry development action plan" proposed by 2020, car networking industry cross-industry integration to make a breakthrough, autopilot technology development in European countries is relatively mature, not only the European Union on the "United Nations Convention on Road traffic "on autopilot to correct, Britain, France and Germany also introduced a related bill or policy to allow road test. KPMG issued the "G20 automotive automation Index", the Netherlands, Sweden, the United Kingdom, Germany, were ranked first, fourth, fifth and six; the next European countries likely to achieve nationwide earlier smart driving.
  
  Autopilot current global market mainly in L1 / 2 mainly penetration rate of 5% in 2016, about 2025 nearly 50% of the maximum point; Thereafter, autopilot to mature technology, permeability L3 and L4 / 5 of will gradually rise, and has in 2023 and 2040 reached 45% and 50% of the highest point; expected to 2040, the autopilot on the global market penetration will reach 100%.
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@ Transferred from Chinese industry information

With driverless cars as well as relevant laws and regulations to relax the major car companies and technology companies continue to fall autopilot technology and products, in 2021, the global autonomous vehicles market is expected to reach $ 7.03 billion, and by 2035, no one expected the world driving car sales will reach 21 million, autopilot market with a bright future.
  Unmanned vehicles for the scene and the associated data analysis application, understand the contents;
  In recent years, Chinese government ministries issued a number of successive development plans, we propose to speed up digital, intelligent, information technology and unmanned mine construction in policy to encourage, mine managers have begun to embrace many of unmanned technology.
  In the unmanned industry, mining Robot-Taxi transport is far less glamorous, but mine is one of the most suitable for unmanned landing scenario, because mine haul roads closed, single shift per tub are relatively fixed point to point transportation on the route, speed is often less than 30km / h. The mine has been producing transport multiple pain points, personnel security risks, driver recruitment difficult, costly operation and management. Ideally, these problems can be solved by unmanned technology; It is reported that mining vehicles unmanned Company "easy to control intellectual drive" has completed 60 million yuan angel round of financing, the investor is Xing Tao's investment fund the current round of financing will be used for ground testing and R & D in the mining area.
   @ Transfer from 36 Krypton
  CMR: Neusoft is the use of intelligent vehicle hardware, networking, big data and cloud technology, combining transportation and safety-related traffic data car linking data and convoys, providing for the driver, the vehicle, in-transit risk energy consumption as well as analysis and optimization of transport routes, to help the team found that managing security risks, reduce the accident rate and optimize their performance and reduce costs.
  
  Car linked data analysis services: Neusoft mature big data analytics platform from data access, data cleaning, data analysis, and data access with the car the whole process of data analysis services, application of machine learning, deep learning technology to achieve quality parts analysis, vehicle performance evaluation, failure prediction and portraits of the owners of the user analysis, the value of data mining depth to help OEMs and relies on Telematics data on this basis, to provide full life-car production, sales, maintenance, second-hand car trading and financial services value-added services and operational period.
 
  In a sense, V2X is a technology used to assist the machine driving the vehicle, the driver in the absence of networking, relying on the traditional on-board sensors, it has all the information needed to obtain a driving. In fact, from the beginning of time, V2X technology is to give autopilot services.

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Origin blog.csdn.net/weixin_45158012/article/details/94437534