Intelligent driving revolution, who will be the winner?
The competition among tech giants in the field of intelligent driving is heating up. As a leading communications technology company, Huawei is taking the lead in the intelligent driving track by leveraging its technological advantages in the fields of G and artificial intelligence. Whether latecomers such as Xiaomi can get a piece of this revolution is still unknown.
Huawei's intelligent driving system is a leader
In recent years, Huawei has invested heavily in the field of automotive intelligence, especially in core technologies such as in-vehicle operating systems and intelligent driving chips. Its self-developed intelligent driving operating system ADS has begun to be applied to its smart car brand "Zhijie" models, and has shown amazing performance.
Taking Zhijie S as an example, this intelligent flagship model equipped with ADS system can not only achieve highly automatic assisted driving, but also be displayed for the first time at the new product launch conference, fully demonstrating Huawei's leading position in in-vehicle intelligent systems. Behind this technical strength is Huawei's deep accumulation of years in basic fields such as communication chips and artificial intelligence algorithms.
Industry insiders pointed out that Huawei's intelligent driving system not only has an advantage in technology, but also takes the lead in ecosystem construction. With a diversified line of devices such as mobile phones, tablets, and wearable devices, Huawei is building a smart life ecosystem that covers multiple scenarios, and automotive intelligence is an important part of it.
Yu Chengdong pointed directly at Xiaomi
At the latest Zhijie S press conference, Yu Chengdong, CEO of Huawei's consumer business, pointed directly at Xiaomi and other latecomers, and released cruel words: "We will continue to invest heavily in the field of intelligent driving and autonomous driving to challenge existing car companies." This is undoubtedly a strong signal to latecomers, intending to seize the commanding heights of smart cars.
In this regard, Lei Jun and the Xiaomi car team naturally cannot sit idly by. In recent years, Xiaomi has also increased its investment in the field of automotive intelligence, but compared with Huawei, it is still in the catch-up stage in terms of core technology and ecosystem construction. The first model of Xiaomi Auto is expected to be launched in 0 years, and whether it can make a breakthrough in the intelligent driving system will be a key part of testing its strength.
Intelligent driving doesn't happen overnight. From the perspective of technical complexity, regulations and policies, user acceptance and other aspects, the road to this revolution is still a long way to go. For latecomers such as Xiaomi, there may still be opportunities to make breakthroughs in some segments, rather than being completely abandoned.
Ecological integration is the key
Whether it is Huawei, Xiaomi, or other technology companies, building a comprehensive ecosystem is indispensable for them to succeed in the intelligent driving revolution. Automotive intelligence not only requires powerful on-board systems and computing power support, but also needs to be seamlessly connected with multiple scenarios such as mobile phones, homes, and travel to provide users with a one-stop smart life experience.
Taking Huawei as an example, it is precisely because of its layout in communications, terminals, cloud services, and other fields that it can provide strong ecological support for intelligent driving systems. Users can not only enjoy services such as intelligent voice assistants and online entertainment in the car, but also interconnect with smart home devices at home to achieve a cross-scenario smart experience.
Although Xiaomi also has a certain layout in smart home, Internet of Things and other fields, there is still a certain gap compared with Huawei. How to quickly build an ecosystem covering the whole scenario of intelligent driving in a limited time will be a major challenge for latecomers such as Xiaomi.
Ecological integration does not happen overnight. There are differences in technical routes and business interests between different vendors, and how to maintain openness and compatibility while providing users with a seamless experience requires the cooperation of the upstream and downstream of the industry chain.
Regulations and policies are a double-edged sword
In addition to technical strength and ecological integration, regulations and policies will also be an important factor affecting the development of intelligent driving. On the one hand, clear regulations and policies are conducive to providing institutional guarantees for the mass production and on-road use of intelligent driving vehicles, but on the other hand, overly strict regulations may hinder innovation and affect the development of the industry.
The United States, for example, has adopted a relatively liberal policy on driverless car testing, providing a favorable environment for technology companies, including Huawei, to innovate. In China, although the development of intelligent networked vehicles is also being vigorously promoted, there are still some institutional barriers in terms of specific testing and road permits.
With the continuous breakthrough of cutting-edge technologies such as G and artificial intelligence, as well as the improvement of social awareness of intelligent driving, relevant regulations and policies will be adjusted and improved. At that time, a more open and innovation-friendly intelligent driving ecosystem will gradually take shape.
User education still needs to be strengthened
Users' acceptance of intelligent driving technology will also directly affect the pace of this revolution. At present, although assisted driving functions such as automatic parking assistance and intelligent cruise control have begun to become popular, ordinary users still have many concerns about fully autonomous driving.
Issues such as security and responsibility attribution have always been the focus of users' attention. In the event of a major accident, who will pay for it? Whether the AI system has sufficient resilience and whether it can make correct judgments in extreme situations is also a concern for users.
Manufacturers who are promoting intelligent driving technology also need to increase user education efforts to dispel the doubts of the public and give them enough confidence in this emerging technology. Through a variety of online and offline channels, it will be a gradual process to comprehensively and objectively explain the working principle and safety measures of intelligent driving to users.
The intelligent driving revolution is coming, but its success still needs to be jointly promoted by scientific and technological strength, ecological integration, regulations and policies, user education and other aspects. As an industry leader, Huawei has seized the opportunity, but latecomers such as Xiaomi are also lacking in opportunities. Who will truly emerge as the winner of this revolution remains to be seen by time.