Since the advent of automatic driving, with the development of the Internet and artificial intelligence technology, explosive growth has taken place in recent years, and product application has begun to practice. According to reports, in the past two weeks, Apple's autopilot test fleet in California has increased by another seven, and now a total of 62 test vehicles, 87 drivers, overtake Waymo, becoming the second largest autonomous fleet after GM Cruise. The UK, which has left the European Union, is also stepping up its efforts to become a leader in autonomous vehicles (AV). A total of £25 million has been awarded to up to six projects for research and testing of self-driving vehicles and remote parking technology on the road. This is in 2017, the UK decided to allocate £250 million by 2020 to fund research on autonomous vehicles in urban street and highway environments, and to fund demonstration projects for autonomous vehicle prototypes. The UK expects the global autonomous vehicle market to reach 907 billion pounds ($1.2 trillion) by 2035. Nowadays, autonomous driving is spurring a new form of automobile supply chain, which has become the focus of many technology investors. In the current hot AI chip manufacturers, autonomous driving is one of the areas of many manufacturers' layout. At present, domestic AI chip startups include Cambricon, Bitmain, Horizon RoboTIcs, westwell lab, eyemore, and Think Force. , ChipIntelli, corerain, DEEPHI, Intellifusion, senscape, iDeepWise, etc. Participated in and launched the chip in the field of autonomous driving. For the Cambrian, known as the AI ​​Unicorn, the IM chip was developed specifically for autonomous driving; the Horizon Robot introduced the journey processor for intelligent driving; Eye Engine announced the autopilot platform in April; the class of Xijing Technology Brain chips are also mainly used in the field of automatic driving; and Shenjian Technology has also launched products for intelligent assisted driving and intelligent big data. In addition to chip manufacturers, leading companies in the security industry are also involved in the layout of automatic driving. On March 17, 2017, Dahua shares participated in the investment of the "zero-run" automobile brand officially released in Jinhua, Zhejiang Province, and announced the news of the zero-run new energy vehicle model planning and factory construction. Hikvision also announced the establishment of Hangzhou Haikang Automotive Technology Co., Ltd. on June 30, 2016. On January 18, 2017, Hangzhou Haikang Automotive Technology Co., Ltd. acquired the asset group of the Smart Vehicle Division of the company's controlling shareholder, CLP Haikang, to integrate the automotive electronics related business of CLP Haikang Group Co., Ltd. In the context of global economic convergence and slowing growth in the video surveillance market, the security industry is also actively exploring new areas and seeking new breakthroughs. The security industry has extensive experience in the field of visual image processing and is a powerful chip in this "building a car" movement. With the fiery hot market, questions about the safety of self-driving cars have also been pushed to the forefront. Automated driving industry people often quote a saying that "the safety of self-driving cars is three times higher than that of human drivers", but in fact, the correctness of this statement is not well studied. To verify this claim, it takes 30 billion miles and 1000 years, which is impossible. But security issues are indeed on the agenda. From the current point of view, to solve the safety problem of self-driving cars, it is mainly necessary to solve three face-to-face problems. The first is the development of auto-driving car rules, the second is the improvement of self-driving self-safety system technology; the third is the safety of auto-driving car network security. Rules: Formulating a uniform set of rules for autonomous driving is the basis for autonomous driving. Through this set of rules, it is only necessary to define the rules of operation for self-driving cars. However, each company has different methods to solve this problem. Therefore, the industry expects to have a standardized rule for autopilot. Cars don't have to worry about facing different situations. However, the discussion of autonomous driving safety is based on emotions rather than logic, and the safety standards to be followed by autonomous vehicles are always higher and higher than human drivers. Technology: In addition to the variability of rules, from the operational level, autonomous driving also faces two problems: on the one hand, in smart car systems and components, on-board intelligent operating systems and computing platforms, 5G networks and in-vehicle communication, artificial intelligence. Breakthroughs have been made in core technology areas such as big data and cloud computing; on the other hand, it is necessary to combine the development needs of smart cars, improve laws and regulations, and conduct research on the applicability of terms. Network: As one of the products of the development of the Internet, autonomous driving is also the interactive communication of vehicle systems through the network. Among them, it is necessary to face the common problem of network security. The more connections the car's internal electronic components have to the outside world, the greater the likelihood of hacking. A few days ago, at the EcoMoTIon exhibition in Tel Aviv, Israel, two software developed by Karamba that can automatically detect abnormal foreign commands will ensure the safety of self-driving cars. Conclusion: Auto-driving is one of the hot industries in the world, and it has attracted the attention of investors. The security industry is also concerned about the related technology industry. As one of the problems that the current automatic driving development continues to solve, safety is worthy of attention in the security industry. Digital Clamp Meter ,Digital Clamp Multimeter,Clamp Meter,Ac Clamp Meters YINTE TOOLS (NINGBO) CO., LTD , https://www.yinte-tools.com