在人工智能技术的加持下，无人驾驶高速发展，正在改变人类的出行方式，进而

With the support of artificial intelligence technology, the rapid development of unmanned driving is changing the way people travel, which will change the pattern of related industries on a large scale. Based on this understanding, technology giants and start-ups regard driverless technology as the key to change, gather huge funds and smart talents, and try to break through technical obstacles. For example, Google and Tesla have developed driverless cars. However, these breakthrough technologies face technological and social constraints. Fully automated driverless technology cannot fully enter the mature stage in the short term. From a technical point of view, unmanned driving is actually a scenario application of autonomous driving and intelligent services, involving intelligent software and hardware technologies. Realizing unmanned driving is a systematic project, which requires both mature core technology, perfect intelligent transportation facilities and popularization of mobile communications, as well as perfect traffic regulations and business model innovation. New vehicle system design and production technologies, computer vision and other machine learning technologies, and transportation systems cannot meet the speed of progress of existing unmanned driving technologies. Transportation departments, chip manufacturers, and software companies all need time to adapt to new technologies.

With the addition of artificial intelligence technology, the rapid development of driverless driving is changing the way people travel, which in turn will change the pattern of related industries on a large scale. Based on this understanding, tech giants and start-ups see driverless technology as the key to change, gathering huge sums of money and smart talent to try to break through the technological barriers. Google and Tesla, for example, have developed driverless cars. However, these breakthrough technologies face technical and social constraints. Fully automated driverless technology is not yet fully mature in the short term. From a technical point of view, driverless drivers are actually a scenario for autonomous driving and smart services, involving smart hardware and software technologies. Realizing driverless driving is a systematic project, which requires not only mature core technology, perfect intelligent transportation facilities and popularization of mobile communication, as well as improvement of traffic regulations and business model innovation. New vehicle system design and production technologies, computer vision and other machine learning technologies, and transportation systems are not sufficient to advance the progress of existing driverless technologies. Transportation departments, chipmakers, software companies, etc. all need time to adapt to new technologies.

With the support of artificial intelligence technology, the rapid development of driverless is changing the way of human travel, which will change the pattern of related industries on a large scale. Based on this understanding, technology giants and start-ups regard driverless technology as the key to change, gather huge funds and smart talents, and try to break through technical barriers. For example, Google and Tesla have developed driverless cars. However, these breakthrough technologies are facing technical and social constraints. Fully automatic driverless technology can not fully enter the mature period in the short term. From a technical point of view, unmanned driving is actually a scenario application of automatic driving and intelligent service, involving intelligent software and hardware technology. It is a systematic project to realize driverless driving, which requires not only the mature core technology, the improvement of intelligent transportation facilities and the popularization of mobile communication, but also the improvement of traffic laws and regulations and the innovation of business model. New vehicle system design and production technology, computer vision and other machine learning technology, transportation system can not meet the speed of development of existing unmanned driving technology. Transportation departments, chip manufacturers, software companies and so on all need time to adapt to the new technology.<br>