Large-scale commercial use is imminent, and autonomous driving has a 'big future”

​Autonomous driving has now become one of the key development directions of the automotive industry, and it is also a technological proposition that the entire society pays close attention to. While mainstream car manufacturers are exploring autonomous driving technology, the development of this industry has also attracted the attention of some scholars.

On the evening of June 17, the famous economist Ren Zeping's speech with the theme of "Ignite Hope - Looking for New Opportunities for China's Economy" was broadcast on Beijing Satellite TV. New economy, new infrastructure, new opportunities and other economic topics that everyone is generally concerned about. In the program, economist Ren Zeping believed that autonomous driving “has a great future.”

Opportunities for the development of autonomous driving

Driven by the "double carbon" goal, the electric vehicle industry is developing very rapidly. As of the end of 2021, the number of new energy vehicles in the country reached 7.84 million. The electrification of the automotive industry has become the soil for the growth of autonomous driving technology. In addition, the implementation of policies also provides direction for the development of the autonomous driving industry.

Stronger perception capabilities, effectively alleviating urban congestion

Autonomous driving has obvious advantages over traditional driving in many aspects. The first point is that autonomous driving has stronger perception and shorter reaction time than human driving. In addition, it can connect to the Internet of Everything and enhance the safety services of the Internet of Vehicles. There is no human driver behavior such as fatigue driving, and the safety factor is higher when driving long distances.

The second point is that it can save human resource costs. With the help of autonomous driving technology, people can be freed from arduous driving tasks, and a lot of time freed up can be used to create more social value.

The three points are to alleviate urban traffic congestion. Traffic congestion has become a problem in the development of many cities. In addition to the increase in urban vehicles, traffic congestion is also related to improper driving behavior of drivers. At a technical level, autonomous driving can effectively reduce traffic jams caused by jams, stalls and other factors. It can also automatically plan the best route based on current road conditions to avoid aggravation of congestion.

Vehicle detection capabilities are limited and the weather is greatly affected

At present, autonomous driving technology is not yet mature. Kobe Marenko, CEO of Israeli sensor startup Arbe Robotics, said that radar resolution and field of view are limited The detection ability of the vehicle is improved, and the performance of the sensor is greatly affected by rain and fog weather. In fact, current technological autonomous driving highly relies on the sensing capabilities of sensors. According to statistics, a smart car generally has anywhere from dozens to hundreds of sensors. These sensors together form the perception network of smart cars and provide technical support for autonomous driving of smart cars.

While technology continues to develop, standards related to autonomous driving are also constantly being improved, and clear responsibilities for autonomous driving are the focus.

In the "Grading of Automobile Driving Automation" implemented in March 2022, autonomous driving levels are divided into five levels, which clarifies the driving responsibilities that drivers should bear at each level. Driving work requires the driver and the driving automation system to work together. The driver should also bear the responsibility for emergencies and intervene in driving when necessary to ensure vehicle safety.

The commercialization of L3 level autonomous driving is accelerating

Since 2020, autonomous taxis have been put into trial operation in multiple intelligent network demonstration zones such as Beijing and Shanghai, attracting many consumers the gaze of the person.

At present, self-driving taxis from SAIC, Baidu, Didi, T3 Travel, Pony.ai, WeRide and many other companies have begun pilot commercial operations. It is worth noting that the driverless technology of these self-driving taxis is still at the L3 level, but some companies are already exploring higher-level autonomous driving technologies. On January 20, 2022, Pony.ai disclosed for the first time the appearance design, sensor and computing platform solutions of the sixth-generation autonomous driving software and hardware system designed for L4 car-level mass production. Road testing will begin in China this year and it is expected to be put into daily operation of self-driving travel services in the first half of 2023.

It is foreseeable that in the future, with the continuous advancement and development of sensors and Internet of Things technology, the promotion of L4 autonomous driving technology, and the continuous improvement of network information security construction, the application scope of autonomous driving will be further expanded. . ​

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