The century-old auto industry is facing changes driven by technology. At the same time, self-driving cars have become one of the future core strategies of technology giants such as Google, Apple, Baidu and Intel. Driven by technology companies, traditional automakers have also developed them. Autonomous driving technology hopes to take the lead before the future car revolution. Nowadays, unmanned driving technology is no longer mysterious, it has already entered people's field of vision, and various road tests have also earned enough attention. So, how long will it take to become universal?
Autonomous driving will be fully popularized in the next 50 years
Self-driving cars have triggered a competition among semiconductor manufacturers, technology giants and traditional car companies. GM hopes to launch mass-produced self-driving cars next year for public car-hailing services. Google’s Waymo has already started in Arizona. Charging passengers and opening up autonomous driving travel services to more people during the third quarter has begun to test pricing models in the suburbs of Phoenix.
Then, driven by many giants, when will autonomous driving be popularized on a large scale? The latest data released by Intel gives the results, and Intel predicts that autonomous vehicles will be fully popularized in the next 50 years.
A recent Intel study found that even though consumers are still worried and vacillating, people are still looking forward to the future of autonomous vehicles. This survey of American consumers found that 21% of Americans are currently willing to switch to self-driving cars, but up to 63% of respondents believe that self-driving cars will be fully popular in the next 50 years.
This future vision is consistent with an earlier study by Intel. Intel predicts that by 2050, the passenger-centric future output value will reach 7 trillion US dollars.
Jack Weast, Vice President of Mobileye's Autonomous Vehicle Standards, said that we must bridge the gap between people's acceptance of today's automated driving assistance technology and fully automated driving. Today, passengers are required to unconditionally trust the manufacturer's "black box" security solutions. However, in order to establish this kind of trust relationship between humans and machines, it is necessary to rely on the joint efforts of industry and policy makers to create a more transparent security model.
To be successful, it is necessary to link today's automated driving assistance technology with the future of fully automated driving. On the one hand, it is to create a wide range of usability, education systems, and acceptance levels for advanced driving assistance systems. On the other hand, the establishment of safety standards that are generally accepted and recognized by the society. Intel is inviting the automotive industry to follow this standard. Arizona recently announced the establishment of the Autonomous Driving Mobility Research Institute, which aims to solve the responsibility, regulatory and safety issues of autonomous vehicles, and will work to develop industry standards and provide valuable experience.
The battle for autonomous driving
Players in different fields are competing for self-driving cars. Semiconductor manufacturers are competing fiercely with Intel and NVIDIA at the core. NVIDIA GPU deep learning promotes the development of artificial intelligence technology. Many giants use NVIDIA GPUs to construct data center training AI systems and benefit from Deep learning GPU chip capabilities, NVIDIA technology is also widely used in the field of autonomous vehicles.
Similarly, Intel, the chip leader, is also betting on autonomous driving. Among them, the acquisition of autonomous driving company Mobileye for $15.3 billion shows its determination to enter the automotive field. The combination of its in-vehicle computing products and Mobileye system chips makes Intel in autonomous driving technology. The forefront of change.
Prior to this, Intel made large-scale investments in the industry chain of autonomous vehicle technology. Earlier, it established a connected car fund of up to 100 million U.S. dollars to provide ADAS, human-machine interface, telematics, cloud services, and driverless driving. Project incubation funding support. HERE, which used to be Nokia's asset map business, also attracted investment from Intel. It bought a 15% stake in HERE. The two parties will cooperate in driverless cars and Internet of Things technology.
Intel has taken a series of measures in autonomous driving to build a huge autonomous driving ecosystem, which not only promotes the development of automation and unmanned auto industry, but also responds to challenges initiated by rivals such as Nvidia and Google. Nvidia’s powerful computing capabilities are widely used in autonomous vehicles. Google’s Waymo is the leader, with a valuation of more than 100 billion U.S. dollars. At the same time, Apple is increasing driverless road testing.
But Mobileye is the leader in advanced driver assistance system technology. There are 25 mainframe manufacturers using their equipment, more than 13 automakers around the world have jointly developed autonomous driving, and more than 27 million cars worldwide are equipped with Mobileye technology. They have mature experience, and the products are also very mature. Compared with competitors, Mobileye is running at the forefront of the track of autonomous driving technology.
At the same time, Intel and Mobileye also released a new integrated platform, equipped with two EyeQ5 system chips, an Atom C3xx4 processor and Mobileye software, which greatly achieved the balance between powerful computing power and low power consumption. . Intel has strengthened its competitiveness in the field of autonomous driving by integrating Mobileye's autonomous driving technology. Through a series of acquisitions and investments, and investing hundreds of millions of dollars in autonomous driving technology research and development, Intel has become a leader in autonomous driving technology.
At the same time, many domestic technology giants such as Baidu and Didi have also poured into driverless cars. As a domestic leader, Baidu has nearly 130 ecological partners on the Apollo platform. Operated more than 10,000 kilometers.
In recent days, there has been a big event, Baidu's unmanned convoy greeted the bride. On the day of 1024, as the engineers of Baidu’s Apollo unmanned vehicle, the three programmers carefully prepared a wedding. Apollo unmanned vehicles formed a special welcoming team. After receiving the newcomers, the unmanned fleet was still there. Driving around Baidu Building, Baidu President Zhang Yaqin also came to the scene to witness the marriage of the three couples.
At last
Autonomous driving can not only bring huge social benefits including saving lives, but also provide a whole new passenger experience. Cars will no longer be just related to travel, they will have the potential to become experiential transportation equipment. Under the joint promotion of many companies, the global autonomous vehicle market will reach 6.7 trillion U.S. dollars in 2030. This data comes from the forecast made by McKinsey.
The strong economic power is driving the development of driverless cars, which will also fundamentally change the situation of the entire travel market, and will even give birth to a new passenger economy. In the near future, people all over the world will delegate the task of driving to unmanned vehicles. Driving a car will bring major economic opportunities. The "2017 Passenger Economy Report" commissioned by Intel Strategy AnalyTIcs shows that it will create a value of 7 trillion US dollars in 2050.
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