Children's great ideal, to be able to drive their own car, a ride in the public **** car with worshipful eyes staring at the driver, rural children worship is the tractor driver, can ride a cow is also enough to wind. And then a little bit older, began to dream of having a car of their own. Raise your hand if you thought gasoline smelled good when you were a kid!

The speed of development in China is amazing even to ourselves, because you're constantly learning new things, mobile payments seem to have spread "overnight", and even beggars know how to show QR codes. One day when you are ready to realize your childhood dream, you will find that there is no parking space for you in the automobile district, and driver's license and car are popularized "overnight".

Just started to inhale the smell of gasoline in their own private cars, the new energy vehicles, when you decided to queue up for the new energy license plate, only to know that you have to wait for 8 years in Beijing to have the opportunity to get a green card.

New energy vehicles have just begun to be popularized, and drones are coming, so is it possible to get a driver's license for nothing?

At this moment, there must be people who think that driverless is far away from us? According to "Old Liu Talking Cars", we need to learn to accept new things, because in China, driverless cars may be parked downstairs in your house "overnight".

Don't think it's far away, in China driverless technology has matured, in closed environments such as parks, parking lots, campuses, driverless has begun to go to work formally, driverless public **** cars, cabs have been trial operation.

The commercial export of driverless now is not a matter of technology, but the introduction of policies and laws. Although the law has not been formally released, the "automotive autopilotization classification" has been issued by the State Administration of Market Supervision and Administration and the State Standardization Administration of Agricultural Land.

In this article, "Lao Liu said car" to introduce the grading of driverless.

The drafting units of this standard are Changan, Guangzhou Automobile, Geely, Dongfeng, BMW China, Volkswagen China and Ford China. From these drafting units, it can be seen that the major car companies are producing fuel vehicles and maximizing profits from their production lines, while they have long since joined in the production and research and development of new energy vehicles and drones.

The Automated Vehicle Driving Classification divides automation into levels 0-5.

Level 0 driving automation: this level in the five years before the vehicle has been assembled, such as lane departure warning, forward collision warning, automatic emergency braking, etc., these features in recent years in the model of the high-specification version of the popularity of the car. 0 level driving automation is responsible for the main work of perception, and to provide the driver with short alerts, do not intervene in the driver's work to assist.

1?level driving automation (partial driving assistance)

From this level is the beginning of the unmanned driver, when the vehicle forward, backward, turn around, the automation system to have the perception of the vehicle's movement, and the driver's behavior to assist in the operation. Such as helping to brake in advance and adjusting the directional assistance. This mode can also be called active safety driving mode. This level is personnel driving mainly, automation assisted driving.

2?Level 2 Driving Automation (Combined Driving Assistance)

Upgraded from personnel-dominated to combined personnel and automation driving. level 1 automation intervenes to work when the vehicle produces an accident, and level 2 automation works all the time, which is also known as combined driving mode.

3?level driving automation (conditional automatic driving)

The level of automation intervention has increased to the point where it can dynamically take over the driving job depending on the situation, allowing the driver to let the vehicle drive automatically under conditional conditions. The automation can also proactively send a request to take over the driving of the vehicle, after which the system becomes the driver. The driver can also release the automation from control.

Levels 0 through 3 all require the presence of a driver, and the driver's license still works. The steering wheel is still present in the above levels of vehicles.

Level 4?Driving Automation (Highly Automated Driving)

From this level onwards the vehicle can be fitted without a steering wheel, the vehicle can be driven automatically on routes or zones dedicated to automated driving, and the public ****operated vehicle is not equipped with a driver. Passengers only need to send a request command to the vehicle, the system receives the command to start directing the vehicle to work. Such as Nanjing Southeast University's campus automatic bus is level 4 driving automation, but the premise is that this car can not leave the campus, must be in the designated route operation.

5?-level driving automation (fully automated driving)

This level is the futuristic world of the movies, where the vehicle can make judgments about any terrain, road, and road conditions, and make judgments about driving actions through big data.

How does the vehicle intervene to work in autonomous driving?

Taking Tesla as an example: the Tesla Assisted Driving System uses a camera to act as the eyes of the driverless car. This front-facing camera is mounted in front of the reflector, and the information extracted by the camera is processed by software that calculates distances, recognizes road signs, and detects pedestrian crossings. Meanwhile Tesla has equipped the car with 12 long-range ultrasonic sensors that provide a 360-degree view. It also has a front-mounted radar system to help with the semi-automated driving system.

Tens of thousands of Teslas will feed data on various road conditions collected on the road back into Tesla's centralized database in real time, adding an average of one million miles of driving data per day. Tesla's software constantly improves and enhances the performance of its algorithms and driving experience based on this feedback. As the number of users continues to grow, the more complete the data becomes, the higher the degree of autopilotization will be.

How does a big data center work?

Taking Google as an example: Google's self-driving system is powered by a lidar on top to map out the real-time three-dimensional terrain, an on-board radar, position sensors and other measurements of the vehicle's acceleration, angular velocity and other data in all three directions, and then combined with the GPS to calculate the vehicle's position, all the data is processed, and the system makes a judgment on driving.

China will showcase driverless technology to the world at the 2022 Winter Olympics in Beijing, and the city has developed a "Science and Technology Winter Olympics (2022) Action Plan" in hopes of making the event a high-tech extravaganza. In the design of the shuttle bus program, it has launched the "all-weather multi-vehicle automatic driving technology development and Shougang Park function demonstration (technology winter Olympics) special"

The year 2023 will be the year of development of the driverless, are you ready for it?

This article comes from the author of the automobile home car family number, does not represent the views of the automobile home position.