In 2009, the prototype picture of a self-driving car was exposed. In October 2011, Google tested cars in the Mojave Desert in Nevada and California as a test site. In the same year, the US Nevada legislature allowed autopilots to be on the road, the first similar law in the United States. The law came into effect on March 1, 2012. In April 2012, Google announced that it has opened 200,000 kilometers of self-driving cars (not far from mandatory retirement) and has applied for and obtained a number of related patents. On May 7, 2012, the Nevada Motor Vehicle Administration (DMV) approved the first auto-driving vehicle license in the United States. Prior to the issuance of the license, the officials had previously inspected the car on the highway, the Carson City block and the Las Vegas Strip, and claimed that it was previously on the highway, the city streets and the downtown area of ​​Las Vegas. Tests show that autonomous vehicles can drive safely and are even safer than manual driving. In April 2014, Chinese search engine, Internet giants Baidu and BMW announced the start of an autopilot research project and tested on highways with complex road conditions in Beijing and Shanghai. On June 11, 2015, Baidu said that Baidu and German BMW Motors cooperated to develop autonomous vehicles and plans to launch prototypes in China in late 2015 for road tests. If the plan is implemented smoothly, Baidu will be far ahead of Google in terms of time, and the latter plans to officially launch autonomous vehicles in 2017. As global car companies compete to develop autonomous driving technology, the Chinese auto industry is also facing new challenges of intelligent upgrade. On November 11th, at the Changshu China Smart Car Conference and the National Smart Car Development Forum, Baidu L3 Automated Driving Division senior architect Fuyang brought Baidu L3 autopilot technology dry goods and fully shared Baidu L3 autopilot solution. The world's top high-precision map technology has injected a strong shot into the first-ever popularity of China's auto industry. The biggest problem with automatic driving is the safety of the people inside the car. According to the NHTSA automatic driving grading standard, the automatic driving technology can be divided into L1 to L4, the "innovative" L4 level is the highest, that is, unmanned, but it is still not mass-produced due to cost reasons, "progressive" L3 is a good solution to the two biggest demands of production cars: safety and economy. Therefore, L3 is also the most commercially valuable autonomous driving technology. More reliable than the "old driver", is the most true attitude of Xiangyang to Baidu L3. In the L3 level of the automatic driving system, the manual control of the automatic control by the machine will make the driving behavior more precise and safe. Behind this, it depends entirely on the three technologies of artificial intelligence, big data, and high-precision maps that autopilot technology relies on. And this is precisely the advantage of Baidu L3. As the only Chinese company among the four major AI giants in the world, Baidu has been deeply involved in the field of artificial intelligence for many years, and its technical strength represented by speech recognition and image recognition is strong. Baidu map, as the core product of Baidu, has a market share of more than 70%, with 348 million monthly users, and responds to 30 billion requests per day. In addition, about 700,000 SME developers have been using Baidu maps to provide services for their APP applications, and big data resources are uniquely endowed. In terms of high-precision maps, Baidu L3's results are also leading the industry in all directions. For L3 autopilot, real-time updated and accurate high-precision map data is the necessary foundation, and Baidu promotes the development of L3 autopilot. The core technology is the Learning Map and the high-precision map. At present, the coverage of Baidu's high-precision maps has been around 10,000 kilometers, and the mass production cost is also significantly lower than other brands. In this regard, Fuyang said that Baidu High-precision Map is the only high-precision mapper with large-scale mass production capacity in China, and its automated production level reaches over 90%. Automatic identification accuracy of various facilities such as traffic signs, ground signs, lane lines, signal lights, and roadsides, bridges, lampposts, guardrails, etc., has reached 95%. In addition, relying on the multi-source-aware data processing, cloud service center and data center and other Learning map platform, Baidu high-precision map data can be updated in minutes without manual acquisition. At the scene, Fuyang also showed two comparisons of automated pre-processing and manual verification of Baidu's high-precision map, which can be said to be completely consistent by visual observation. For the production efficiency and economy of Baidu's high-precision map, Fuyang even said that if there is a car manufacturer's commercial demand, Baidu High-precision map can complete the collection and production of the national road network in half a year. The popularity of autonomous driving technology requires a complete and mature systemized solution. Baidu L3 is not only committed to providing safe, comfortable, economical, and mass-produced autonomous driving solutions, but also to the automotive industry, and has also formed a wealth of product applications in automotive networking and automotive big data services. In the automotive network solution, Baidu L3 provides solutions and products for car companies such as CarLife, CoDriver, MapAuto, and Baidu map car version. At the same time, Baidu L3 also launched a car big data service, through the analysis of refined car owner user data, vehicle real-time driving data, and road geographic information data, to provide accurate marketing, vehicle design, user service management to car companies Support for data analysis of decisions such as systems. At present, Baidu CarLife has adapted to nearly 150 models of more than 60 car companies, and has been activated by more than 500,000 car owners, and this number is still growing rapidly. Just last week, Baidu L3 officially announced that it will cooperate with Daimler of Germany, and its car networking product CarLife will be adapted to a variety of Mercedes-Benz models to accelerate penetration into the high-end automotive market. Coupled with the well-known domestic and foreign car companies such as BMW, Mercedes-Benz, Changan, and FAW, Baidu has become more and more in contact with car companies, and the cooperation methods are getting deeper and deeper, all of which provide more business for Baidu L3. The imagination space also makes the intelligent upgrade of the Chinese auto market more clear and identifiable. Land - Base Lower Voltage Generator
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R&D history of self-driving cars