If there is a driverless taxi for you to use, then these problems may no longer exist.
Unmanned driving, as the name implies, is to achieve the purpose of unmanned driving by relying on the intelligent driving instrument with the computer system as the main part in the car.
A real driverless car doesn't need a driver. You can do your own thing in the car and leave directly after you arrive at your destination. Even your own driverless car doesn't need to find a parking space for it, which is very convenient.
On June 27th, online car giant Didi Chuxing started trial operation of Robotaxi in Shanghai. Shanghai users can register online through Didi APP, and after passing the examination, they can call the self-driving taxi in Jiading District of Shanghai for a test ride for free.
Didi also invited Zhu Guangquan, the famous mouth of CCTV, to broadcast the car on the autopilot, and the number of online viewers was close to 3 million.
Despite the thunderstorm weather in Shanghai during the test, Didi's unmanned first show went smoothly, and sensors such as lidar and camera of self-driving vehicles performed normally.
Perhaps it is because there are too many gimmicks, and netizens vomit that it is slow to start and has too many manual operations, which is still far from the imagined automatic driving.
It is understood that these self-driving vehicles were modified by Volvo XC60 and nearly 20 sensors were installed. The cost of a car is more than 654.38+0 million. In order to ensure the emergency in operation, Didi has equipped a safety officer for each L4 unmanned test vehicle.
Although Didi's self-driving network car test is slightly flawed, it is still very successful as a whole, and the self-driving concept stocks have also ushered in a wave of daily limit.
Shortly thereafter, the Operational Capability Analysis Report of Self-driving Vehicles in China (20 19-2020) was released in Guangzhou. According to the report, Guangzhou autonomous driving will enter a new stage of canceling safety officers and operating-level 5G long-distance driving.
Automatic driving cancels the safety officer, which is of far-reaching significance. In order to ensure the smooth progress of the test, the current self-driving test will be equipped with security officers like the Didi test, but this can not really play the core advantages of self-driving cars.
At present, autonomous driving is mainly used as a bus, that is, a network car, a taxi and so on. At present, it has been tried out in Guangzhou, Changsha, Shanghai, Wuhan and Beijing.
For driverless taxis, the key point of their profit is to cancel the security officer, which can save about 654.38 million yuan for human drivers every year.
At present, the hardware cost of transforming a car into a driverless taxi can reach 500,000 yuan. If the security officer is abolished, the cost of taxi reconstruction can be recovered in five years, and the commercialization process of driverless taxis will also take a step forward.
With the development of many core technologies in new infrastructure fields such as artificial intelligence, 5G, big data, etc., driverless technology has also entered a new stage, especially in recent times, driverless network car rental has become the focus of hot discussion.
So why develop autonomous driving technology?
Autopilot first frees the driver's hands, but this is not the most important, because the time a person spends driving every day is actually limited.
Most importantly, self-driving cars can improve safety. The traffic situation in China is very complicated. There are countless traffic accidents every year, and the death toll exceeds100000.
Machines are much better than humans in perception, all kinds of keen sensors, radars, cameras and so on. Can have a wider range of perception than human eyes, so it can be felt earlier and reacted faster than human beings.
On a global scale, fatigue driving is one of the important causes of traffic accidents, but the machine will not be fatigued, and it can always keep normal operation, thus greatly reducing the probability of accidents.
In addition to improving safety, autonomous driving can also play a huge role in alleviating road congestion between cities.
If self-driving cars are gradually put into use and constitute a large part of traffic, then on-board sensors can work with intelligent transportation systems to optimize traffic flow at intersections. At the same time, using core technologies such as big data and 5G to dynamically adjust the time interval of traffic lights in real time according to the traffic volume of some streets will undoubtedly improve the efficiency of traffic flow and alleviate congestion.
Of course, self-driving cars can also make personal travel more convenient and cheaper. On the one hand, self-driving cars can send passengers to their destinations with the highest efficiency; On the other hand, due to the convenience of self-driving cars, users don't have to buy private cars, which can save a lot of money.
The future of autonomous driving is undoubtedly very beautiful. However, it will undoubtedly take a long time to truly realize autonomous driving. According to the "SAE" grading standard most cited by manufacturers at present, there is no fundamental breakthrough in the technologies of L4 (highly autonomous driving) and L5 (fully autonomous driving), and some are only theoretical discussions.
And even if we master the technology of autonomous driving, we don't have an autonomous driving environment.
Audi A8, the world's first L3 self-driving car, went on the market as early as 20 17. However, this function cannot be used in most countries and regions. The absence of laws and regulations makes L3 autopilot of Audi A8 a mirage.
In fact, many car companies now have the mass production capacity of L3 autonomous driving, but the regulations have become the "threshold" that hinders the further development of autonomous driving.
On June 5th this year, 65438, the Ministry of Land, Infrastructure and Transport of Korea issued the safety standard for self-driving vehicles, which proposed the safety standard of conditional automatic driving (L3 level) for some functions of self-driving vehicles.
This is also considered as the world's first L3 autopilot commercialization standard, but there is no such regulation in China at present, so even if consumers buy a car with L3 autopilot function, they can't experience it on the road.
In addition to legal and regulatory issues, infrastructure is also an important factor that hinders L3 autopilot landing. The realization of autonomous driving needs the interaction between cars, cars and roads, cars and cities, that is, V2X. The current road environment and 5G communication construction can not fully meet the needs of autonomous driving.
The construction of laws and regulations takes time, especially the legislation around autonomous driving is not achieved overnight, and all aspects of human society need some time to adapt to this new technology.
At the same time, the improvement and construction of the environment and infrastructure required for autonomous driving also takes time to run in and respond.
I believe that with the continuous evolution of technology, the gradual improvement of laws and regulations and the gradual establishment of business models, autonomous driving can achieve rapid development. At that time, it was within our power to keep our hands off the steering wheel.
This article comes from car home, the author of the car manufacturer, and does not represent car home's position.