What is the core technology of self driving cars?

If we analyze self-driving cars.

The four core technologies are very critical. Identification technology, positioning technology, decision-making technology, andCommunication technology

With the continuous development of high-tech technology, people have seen a sea change in the field of automotive manufacturing, and several factories have announced their entry into the field of autonomous vehicle manufacturing. However, self-driving car technology is at a critical stage of development, and self-driving cars produced by less skilled companies still cause many accidents.

Intelligent driving technology and autonomous driving technology require the car to continuously analyze road conditions and implement decision-making methods, and finally successfully drive the car to its destination. In addition, 80% of self-driving cars are equipped with a variety of cameras, the main purpose of which is to play a role in obstacle recognition. To a large extent, it ensures that the car can effectively avoid roadblocks affecting normal driving during driving, and in addition, decision-making technology is also one of the core technologies of autonomous vehicle technology.

It is only through continuous identification and repeated decision-making that the probability of accidents can be reduced to a minimum.

Have you ever heard that there is more than one way to Rome? In fact, each city always has different considerations and has established many different roads when it comes to urban planning. If the autonomous driving technology in the car is not able to make it complete the positioning and communication, this greatly increases the error rate of the destination.

With the increasing number of self-driving cars, positioning technology and communication technology are also included in the core technologies of self-driving cars.

In general, science and technology are constantly changing people's lifestyles, from manual driving cars to self-driving cars, the speed of domestic automobile development is getting faster and faster. Four core technologies should not be underestimated, so as to get residents safely to their destinations.

The core technology is the chip, because this is very important, many cars have chips on it, or there is no way to drive normally.

The core technologies of autonomous vehicles include automatic identification technology, communication technology, reaction and decision-making technology, and so on.

I think its core technology is to be able to judge what to do, how to drive safely, and how to be smart enough, just like the human brain!

1. Sensor technology: autonomous vehicles.

The front, back, left and right sides are equipped with various sensors to recognize the surrounding environment, roads, and traffic conditions. Optical cameras include single camera, multi-camera, and Doppler radar.

These include short-range radar, long-range radar, and lidar.

It is the rotating machine on the roof of the car, the GPS positioning device, and so on, which constitute the eyes of the car to understand the environment.

2. Chip technology: that is, it can process the data collected by multiple sensors and integrate a super chip similar to a small computer, which greatly reduces the volume and cost of the "total computer" of the car, and can be applied to the car. Otherwise, there will be no place for people to sit in the car, and ordinary people will not be able to afford cars with these huge computer clusters.

3. Operating system: The computer control system combines the processing results with the operating hardware to realize acceleration and deceleration, braking and parking, changing direction and avoidance, and man-machine dialogue. Driverless cars.

It has the ability to replace manual manipulation.

4. Network technology: In order for driverless cars to be on the road, they must have the functions of communication and identification with the Internet and local area networks, including car-to-car communication dialogue, car-to-satellite communication, and car-to-weather forecasting.

In order to correctly identify and choose the road and obey the traffic police.

Command, make the right decision to cross the intersection, correctly avoid danger and drive safely.

Autonomous driving level.

L0: The vehicle is completely controlled by the driver, the driver has absolute control, and there is no automatic driving technology in the car, the L1 driver still needs to drive the vehicle, but there is an adaptive cruise like ACC.

and other safety systems, which play an auxiliary role in the driver's driving, and the hands must not take off the steering wheel.

Keep your eyes peeled off the surrounding road conditions.

L2 At the L2 level, autonomous driving technology can take over some driving tasks for a short time, and the eyes and hands can get a short rest, but they still need to be ready to take over the driving task at any time, because it is not enough to cope with the changing traffic conditions.

L3 comes to the L3 level, which can be regarded as autonomous driving in a sense, and can also be called the beginning of real autonomous driving. The driver can take his hands off the steering wheel and his feet off the pedals.

L4 Level 4 can be said to be autonomous driving in the true sense of the word, there is no need for the driver to take over at any time, and there is no need for the driver to intervene, you just need to sit in the driver's seat and do what you want, and the technology will do the rest.

The core of a car's autonomous driving is how the vehicle perceives its surroundings. <> we can look at autonomous driving from another angle, which is to think of autonomous driving as if another person is driving for you. At this time, you can free your hands and brain, and even sleep in the car.

To put it bluntly, this is a very simple form of human-vehicle interaction. But it's easier said than done. Autonomous driving is very difficult because it is difficult to have machines and programs that can directly replace the operating logic of the human brain.

The core technology is the core processor, which is actually similar to the brain of a robot. In the process of autonomous driving, it processes the transmitted information based on the positioning information and the configuration on the vehicle, analyzes the surrounding environment, and formulates how to drive. What measures should be taken in case of an accident, etc.

It can be said that the processor is the core of the entire system drive, and it is also the biggest difficulty. At present, the perfect processor can already be seen on some relatively high-end models, and their driving habits and emergency handling capabilities are comparable to those of veteran drivers.

These control hardware are primarily used for controllers. When the controller gives them instructions, they can operate them accurately. For example, the rotational speed of the engine and the angle of the steering wheel are controlled by the controller.

Its main difficulty lies in the extremely stable and reliable hardware. After all, if no one controls them while driving, the consequences can be very serious if they make a mistake. And, throughout the drive, they should be at the bottom and the last link.

The biggest difficulty in this part is that there can be no delay in the connection with the system, so the waterproof, electricity-proof and dust-proof facilities in this part must be dealt with, and because the entire processing system is all over the vehicle, it is difficult to centralize control, so it is also a difficult point at present. However, at present, China is already working hard to do research in this area, and many large companies have also invested a lot of money in this area.

The four core technologies of autonomous vehicles are; Identification technology and decision-making technology are very important, and communication technology and positioning technology can be a good way to choose a reasonable rental and return route for people who take an autonomous driving car.

Sensor. This is a very important component, and many cars have to do this step in order to be able to recognize what is going on around them.

Positioning technology and recognition technology, Bihui this is a very core technology, only these techniques are studied more thoroughly, and Huiran can create an excellent automatic driving system.

Recognition technology, which is very important to be able to observe the surrounding results and also to avoid obstacles, is very important for autonomous vehicles. Withered eggplant.

The core processor, the core processor of a car is good, then the performance of the car is good, and the core processor transmits information.

The core technology is the car's autonomous driving system, which is the sensitivity to the outside world.

Decision-making.

At the heart of autonomous driving technology is decision-making. In the past few years, due to the instability of visual perception, the development of autonomous driving has been greatly restricted, so many people believe that environmental perception is the core of autonomous driving technology. However, as the hardware of environmental perception gets better and better, the underlying control system becomes more and more accurate.

If autonomous driving is analogous to a human driving car, then perception is similar to human eyes and ears, obtaining information about the environment around the car, while hands and feet are biased towards the control of the executive layer. Then the core of autonomous driving should be more biased towards the function of the brain - decision-making.

How does autonomous driving work:

The first is perception, at present, our vehicles with perception functions are generally equipped with a variety of sensors, including lidar, millimeter-wave radar, ultrasonic radar, cameras, high-precision maps, positioning systems and other equipment.

In the process of working, a large amount of data has been collected, such as a large number of point cloud data collected by lidar, distance and speed data collected by ultrasonic radar, a large amount of shape data collected by cameras, and coordinate system data collected by the positioning system, which were transmitted to the decision-making module after cleaning and sorting.

Secondly, when it comes to decision-making, after the perception submits these data to the decision-making module, the decision-making module will start to work, combining all these data with the movement of the vehicle, for example, the millimeter-wave radar tells you that the speed of the car in front suddenly decreases, then the decision-making module will make the decision to "immediately reduce the speed of the vehicle", and for example, the vision module reports that there is a traffic cone ahead.

Then the decision-making module will make the decision of "changing lanes and bypassing", which needs to be judged by the decision-making module. In fact, at this stage, there are not only decisions in such a general direction, but also many small details, such as the distance of deceleration, the descent rate of deceleration, and the timing of lane changes.

Even the perception of the vehicle's future trajectory is closely related to the driver's experience, and it is often necessary to make a good decision and integrate multiple data.