"Smart car" is the addition of advanced sensors (such as radar, camera, etc.), controllers, actuators and other devices on the basis of ordinary vehicles, through the on-board sensor system and information terminal to achieve the connection between people, vehicles, roads, clouds, etc. Information exchange enables the vehicle to have intelligent environmental perception capabilities, so that it can automatically analyze the safety of the vehicle and deal with emergencies in a timely manner, replace human operations with AI, and realize that the vehicle can reach the destination according to people's wishes and obtain a good interactive experience . The main content of smart cars is smart driving, which mainly uses Beidou navigation system to accurately locate the location of the road where the vehicle is located, and combines it with the data in the road database, so that it can accurately find the road in the environment of the smart transportation network The best route to the destination, and use the driving control system to obtain and analyze road condition information, and at the same time, adjust the speed of the vehicle to maintain a safe distance between the vehicle and other vehicles, and avoid safety accidents with other vehicles during driving. If an accident occurs due to a system failure, the emergency alarm system will be automatically activated, and the command center will be contacted to report the location and other key information to assist rescue operations. The integrated intelligent vehicle system mainly includes intelligent driving system, life service system, safety protection system, location service system and car service system. Smart cars include three major elements: the main body of the vehicle, the driving system and the service system. Based on this, developed countries began research on smart cars as early as the 1970s. With the industrial innovation driven by the Internet, communication technology, cloud computing, artificial intelligence and other technologies, and the energy innovation of replacing fossil fuels with clean energy, automobiles The industry is ushering in the era of the fourth major change-the era of smart cars.
Intelligent connected cars are equipped with advanced on-board sensors, controllers, actuators and other devices, and integrate modern communication and network technologies to realize intelligent information exchange and sharing between cars and X (people, cars, roads, clouds, etc.), with a complex environment Perception, intelligent decision-making, collaborative control and other functions can realize "safe, efficient, comfortable and energy-saving" driving, and finally realize a new generation of cars that replace humans. Zuo Shiquan believes that the development of intelligent networked vehicles in recent years will show the following six major trends.
From the perspective of market development, the pace of commercialization has accelerated, and market penetration has continued to increase. In McKinsey's "Outlook 2025: 12 Disruptive Technologies That Decide the Future Economy" research report, smart cars ranked sixth, and its potential economic impact in 2025 was estimated to be between 200 billion and 1.9 billion U.S. dollars. IHS predicts that smart cars will enter the homes of ordinary people around 2025, and sales will exceed 10 million in 2035, accounting for 9% of the total global auto market sales in the same period.
From the perspective of technological progress, autonomous and networked accelerated integration, and higher-level driver assistance technologies have gradually matured. The current vehicle-mounted solutions are limited by the inability to fully imitate the human sense, the high cost of large-scale applications, and the lack of panoramic scanning in the urban environment; the network-connected solutions are limited by the inability to achieve vehicle-to-person communication and require large infrastructure investment. Neither of the two schemes can fully meet the needs of unmanned driving in all working conditions in the future. The integration of these two solutions will complement each other's advantages and provide solutions with higher security, higher degree of automation, and lower cost of use. To achieve this kind of technological integration in the future will require more advanced positioning technology, higher resolution maps, reliable and intuitive human-computer interaction interfaces, and related standards and regulations.
From the perspective of product application, the driver assistance system (ADAS) is the first to be commercialized, and operating vehicles have become the first choice for the commercialization of fully automated driving.
From the perspective of competitors, ICT companies have become important participants, and the global industrial ecosystem has undergone profound adjustments. Technology companies such as Tesla, Google, Baidu, etc. have all begun to get involved in the field of unmanned driving, and the extent of leapfrogging is faster than that of traditional automakers. Traditional car companies have adopted a gradual upgrade plan to gradually transition from ADAS to unmanned driving to speed up the intelligent layout.
From the perspective of usage, the innovation of Internet-based automobile e-commerce and shared usage is advancing day by day. With the development and advancement of intelligent network technology, and the gradual realization of autonomous driving, intelligent transportation, vehicle intelligence, and dynamic information services, vehicle sharing has become the future development trend and promotes the return of vehicles to the original source of transportation.
From the perspective of business models, the innovation of intelligent business models based on intelligent interconnection and big data is booming. Intelligent networked vehicles promote the transformation of automobiles from simple vehicles to large-scale mobile intelligent terminals. The collection, analysis, integration, and mining of big data will promote the development of the automobile industry and greatly benefit the people.
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