Driving test students fly over the examination room! Fly the general speed, the wind like a woman! Unmanned or will become a new air outlet

Some time ago, the new rules for driving test were stunned by the babies who had not yet taken the test, so Xiaobian believes that there should be a lot of people running to test the driver's license. I can't eat hot tofu, and I have already taken the test of the accelerator as a brake. So what is the truth going through? Driving into a dangerous life, driverless and autonomous driving will not be the new direction in the future.

On September 19th, an examination vehicle that was taking the driving test in the traffic driving school of Anyue County, Ziyang City, Sichuan Province, suddenly opened the fence outside the examination room, and then rushed out of the examination room! Rush out of the examination room! Rush out of the examination room!

It turned out that I was taking the exam for Subject 2 at that time. I didn’t expect that, in an instant, the car actually rushed out of the fence and rushed out of the examination room, hanging directly on the vest outside the examination room. The speed of this wind is so Unprepared, this coach should be stupid?

Fortunately, no injuries were caused, and the reason for the accident was that the trainer used the throttle as a brake.

Some netizens broke the news. During the driving test, all kinds of wonderful things were astounding, and they were accelerated as much as they liked. They also had many tests that had not been tested, and there was still a lot of hard work, and they were happy to dance in the car. However, because the hand left the steering wheel several times, the final decision was: the test failed.

Unmanned technology has been identified as one of the future trends. Through unmanned driving, smart city smart transportation can be built in the future. Many companies and manufacturers have invested heavily in this breakthrough point.

According to CB Insights, 44 companies that are developing autonomous vehicles are identified after taking stocks of investments in unmanned areas, mergers and acquisitions, and cooperation. The 44 companies are diversified, ranging from automotive giants to top technology companies and telecommunications companies. This year, 11 automakers have also proposed time for the application of autonomous driving technology. Most of the first batch of time is 2020. In addition to these well-known companies, there are many R&D entrepreneurial teams with autonomous driving technologies.

The reason why people have high hopes for driverless or "artificial intelligence + car" is to hope that through technology to solve the problems faced by human traffic. In 1990, the United States took the lead in building intelligent vehicles and road systems. For the first time in 2010-2014, it proposed to develop the intelligent transportation system project planning for network technology and automotive applications from the national strategic level, and plans to put the intelligent transportation system by 2019. The strategy upgrade is a dual development strategy of vehicle network integration and automatic control intelligence. Japan and the European Union also began to incorporate smart vehicles into their development strategies in 1991.

In 1998, China established the Transportation Intelligent Transportation System Engineering Research Center. From 2011 to 2014, it launched the “863 Program” smart vehicle road coordination key technology research. In January 2016, it launched the “Smart Vehicle and Smart Transportation Application Based on Broadband Mobile Internet”. "Demonstration, first implemented in five pilot cities such as Hangzhou, Beijing, Chongqing, Wuhan, and Changchun.

But for now, driverless technology is still only a small range of applications in specific situations. Some experts said that only when artificial intelligence develops to the level of "strong intelligence" comparable to that of the human brain, human beings can completely let go of transportation to artificial intelligence. In addition, the intelligent transportation required for autonomous driving also needs various services derived from travel. Such services cannot be solved by a certain technology, and even require the state to guide at a more macro level of development.

Mike Walken, an academician of the US Academy of Engineering, also mentioned that "unmanned" technology is not the biggest problem, and the most difficult thing to do is public acceptance. Of course, the issue of protecting privacy and promoting driving safety in the field of automotive interconnection is also urgently needed. Auto-driving cars sometimes have traffic accidents, so what should autonomous cars do to avoid trading accidents?

At the moment of a traffic accident, autonomous vehicles should be handled in a completely non-human way to ensure the safety of human life. Humans will no longer be drivers of future cars: humans will be valuable goods, and believe that the Autopilot Deep Learning Network can assure them as much as possible in some unexpected situations. On the surface, if an emergency avoidance measure is done by humans, then this measure may be very reckless, but under the control of repeatedly trained artificial intelligence, the information is transmitted through real-time sensor clusters. It may be as reliable as the measures taken by professional bodyguards.

Imagine a self-driving car parked under a red light suddenly driving to an intersection, avoiding the violent impact of a human-driven car that is flying from behind. The same car handling the emergency avoidance mode can even stop at the intersection and enter the intersection when the traffic light turns red. This is not a single smart car, but a complete set of intelligent driving groups to achieve the goal of ensuring the safety of drivers around the world.

Although there are technical bottlenecks in autonomous driving and relevant laws have not yet been established, autonomous driving is still considered a long-term trend for the development of future cars. Li Jun, an academician of the Chinese Academy of Engineering and deputy chief engineer of China First Automobile Group, once said that autonomous driving is an effective way to avoid human error and achieve a “zero accident” driving vision. Liu Shijin, former deputy director of the Development Research Center of the State Council, also pointed out that the intelligent development of the automobile industry will also help to alleviate and solve a series of issues concerning social and people's livelihood, such as energy shortages in China, deterioration of urban environment and deepening pollution of traffic environment.

The technology of unmanned vehicles has been developed. According to the promotion of the whole trend of artificial intelligence, the landing time of automatic driving is not too late. Li Kaifu mentioned that the time period of artificial intelligence development will be divided into three.

The first is that existing data is used by artificial intelligence to generate value and create a great company to replace some of the manpower. The second is through artificial intelligence technology, through some intelligent hardware and sensors, to collect more data that did not exist in the past, which can create updated applications. For example, we upload a lot of data through smart vehicles or wearable devices, which allows us to create opportunities for smart cities, smart transportation, smart medical care, and so on. The development of the third application will be the slowest, and it will require the advancement of hardware synchronization, artificial intelligence and hardware combined with hardware.

The time to realize these contents is limited to Dr. Kai-Fu Lee for 10 to 15 years, and when the third call is made, the unmanned L1 and L2 phases have already begun, but the implementation of artificial intelligence may be simultaneous. Start with the electric car and the sharing economy. In the future, our trip should be an on-call, and more cars can be driven on the road. The electric car will not have air pollution. The traffic jam will also drop, and people will be safer. It can be seen that the development of artificial intelligence will enable the unmanned vehicle to enter a natural implementation stage. After the demand of the public is realized through the continuous learning and education of artificial intelligence technology, the acceptance of the unmanned vehicle will also be improved. .

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