Becoming the richest man starts with making complaints

Upon hearing this, Cao Shen looked at the tall man in charge of the industrial port and said:

“Whether high-precision maps are necessary depends on how far our country hopes to develop autonomous driving technology.

The tall man said to the slender eyes:

“The Society of Automotive Engineers divides autonomous driving into six levels from L0 to L5.

L0 is an auxiliary driving system without automatic driving. It has reminder and warning functions but does not interfere with manual driving.

L1 is interventional assisted driving, such as detecting obstacles ahead and providing braking, maintaining a safe distance from the vehicle in front, etc.

L2 is considered semi-autonomous driving. It can start autonomous driving under good traffic conditions, but the human driver is the main driver and the automatic car is supplemented.

L3 is interactive driving between humans and vehicles, autonomous vehicle driving, and human participation in command. The car is the main driver, with human assistance.

L4 is highly autonomous driving, which is autonomous driving under non-special circumstances or non-restricted roads.

L5 is fully autonomous driving, and the system completes all driving tasks under any circumstances, without limiting conditions and environments.

Today's most advanced ADAS assisted driving systems can support up to the L2 level, and they also use ADAS-level maps.

But if you want to go to a higher level, I think you must use high-precision maps. "

Cao Shen felt that the tall man had a very good sense and was worthy of being a leader and was professional.

After all, it is only 2012. In the original world, the penetration rate of new car ADAS pre-installation was less than 50% by 2020, and it is expected to reach more than 90% by 2030.

Now in 2012, the penetration rate of ADAS is still in single digits, and the highest penetration rate of various types of ADAS installations is below 3%.

The frown on his slender eyes did not relax as he continued:

“Why must we study autonomous driving?”

Cao Shen smiled and said:

“Generally speaking, there are four major benefits.

First, it can reduce traffic accidents. 1.2 million people around the world are killed in automobile traffic accidents every year, more than 90% of which are caused by humans.

Second, it can reduce congestion.

We have calculated that on busy road sections, the first car will start immediately even if it only stops for two seconds, and it will take at least fifteen minutes for the last car at the end of the queue to start.

We have simulated through the system and found that the use of autonomous driving can significantly reduce the phenomenon of "ghost congestion".

Because in the entire autonomous driving platform, we can automatically adjust the speed of each vehicle to maximize smooth driving on the road and avoid the entire traffic flow from being jammed.

Everyone must be familiar with the traffic situation in Beiki City. During the morning and evening rush hours, it takes at least an hour to travel half of the Third Ring Road.

As my country's urbanization process accelerates and people's economic and living standards improve, the number of car ownership must be rising.

Traffic restrictions and purchase restrictions are indeed a solution, but we may also be able to maximize the balance between the city's carrying capacity and people's living needs from a technical perspective.

Of course, reducing congestion can also reduce environmental pollution.

Third, as serious as congestion is the parking problem.

We have calculated that using autonomous driving can reduce the space reserved for people by 10 centimeters on each side, saving 1.95 square meters per parking space.

Moreover, the height of the parking lot can also be designed according to the height of the car.

If it is an automatic parking and traditional parking shared garage, each garage can save 28% of the area.

If all parking is automatic, the area of ​​each garage can be saved by more than 60%.

Not only does it save land, it can park more cars, but it also saves time in accessing and retrieving cars.

Fourth, it can reduce driving time. In the United States, which has a relatively high car penetration rate, the average commuting time per capita is more than 50 minutes a day.

If you adopt autonomous driving, you can use this time on more interesting things.

In addition, in addition to the above values, unmanned driving can also have special functions in the military and some special industries.

For example, mining and firefighting can reduce human participation in high-risk scenarios. "

military……

His slender eyes narrowed.

The handsome uncle's eyes also lit up, but he didn't say anything. He had always adhered to what he said when he first came here, but he just didn't listen and spoke.

The tall man said: "Autonomous driving technology is definitely what our country wants to develop vigorously. Cao Shen, have you ever calculated how much it costs to make a high-precision map of the country's main roads?"

Cao Shen: Can I say that it only cost 500 yuan...

"Calculated!" Cao Shen took a sip of tea and continued:

“The accuracy of ADAS-level high-precision maps is about 50cm, and the accuracy of high-precision maps is about 10cm.

Therefore, we must have professional high-precision mapping vehicles.

A standard car requires three 360-degree panoramic cameras and one front-facing industrial camera.

Two rotating lidars are used to scan 700,000 points on each target within a 90-meter range.

Although lidar has high accuracy, its wavelength is much smaller than millimeter wave radar. Compared with millimeter wave radar, which can easily exceed the detection range of 200 meters, lidar performance is difficult to reach 150 meters.

Moreover, there is a high possibility that the laser radar will fail when encountering special weather, such as haze, heavy rain, etc.

Therefore, our collection vehicle will also be equipped with two millimeter wave radars. Especially for car following scenarios on highways, millimeter wave radars can do a better job.

In addition, there are gyroscopes and GPS systems for calculating distances. The car is also equipped with at least a 1TB hard drive to store data, and a computer running analysis software.

There are also some temperature and humidity sensors.

In total, the cost of a professional surveying and mapping vehicle is about 10 million.

If all the main domestic roads are run down and the update requirements are met, we have calculated that at least ten vehicles will be needed.

Of course, the data collected by our own cars can only be used as the ‘base’ for the entire high-precision map.

In the future, a large amount of "crowdsourcing" collection will be needed to improve the map, especially to meet the update needs.

In terms of "crowdsourcing" collection, we will reduce equipment requirements and use hundreds of yuan-level cameras and thousand-dollar millimeter-wave radars to complete the equipment.

Only with low cost can we have more crowdsourcing power to complete this task together.

Of course, the data returned at such a low cost must have poor scanning accuracy, which places high demands on our later algorithms.

For crowdsourced vehicles, of course, the more the better. In addition to paying their equipment and equipment installation costs, we will also pay corresponding remuneration for each piece of data.

Calculated, the total cost should be similar to that of our professional vehicles, maybe even a little higher, after all, the quantity is large.

However, this is only the preliminary data collection work.

For high-precision map production, later maintenance and updates are the core competitive point.

The coexistence of dynamic and static information on high-precision maps determines that later updates and maintenance will take up a greater workload.

According to the definition proposed by Bosch in 2007, the local dynamic map data required in the autonomous driving era can be divided into four categories based on update frequency:

Permanent static data, updated every month.

Semi-permanent dynamic data, updated every hour.

Semi-dynamic data, update frequency is 1 minute,

Dynamic data, update frequency is 1 second.

Compared with the current update frequency of ordinary electronic navigation maps, which is one to two months, the update frequency of high-precision maps is extremely high, and the difficulty is naturally extremely high.

This means a lot of work for us.

However, Xishen Technology is currently operating well, and we can afford this part of the cost. Leaders, please rest assured. "

The tall man nodded kindly:

"It seems that Mr. Cao has really done a lot of preparations for autonomous driving, which is great!

We are also willing to invest heavily in the advancement of national technology, which is good. "

In the big tall man's view, autonomous driving is really a long way to go after all.

If you can't do it, your money and energy will be wasted.

Unless it requires a large amount of investment from the state, most companies would not be willing to do this kind of thing.

But what the tall man didn't know was that because there was no Tesla in the world, this industry was not very popular.

In the original world, due to Tesla’s effect, autonomous driving is the “new entrance” that everyone is competing for.

Several large domestic manufacturers of high-precision maps, including Amap, were acquired by Alibaba.

Baidu Maps is doing it itself.

The boss behind NavInfo is Pony Daddy.

It can be said that high-precision maps have the shadow of BAT behind them.

Cao Shen touched the back of his head in embarrassment:

"You have to be well prepared to do something. We have been researching it for a long time. It depends on whether the country can open up our qualifications and implement these researches."

The tall man looked at the slender eyes and the handsome old man, raised his chin and smiled:

"I'm well prepared, Bu Cheng, what do you say to Gong Wang?"

Old Man Yu also smiled at the two of them and said:

"Good thing, if you are worried about confidentiality issues, let's see if Xiao Cao can come up with any compromise.

As far as I know, the United States is very open in this regard and has attracted a large number of talents.

Originally, we were lagging behind in algebra in the automotive industry. If we fell further behind, we would be unable to catch up. "

The dark-faced man also urged: "What else is there to think about? This won't work, that won't work, let's not allow it to develop!

And it’s only open to Cao Shen’s family, not everyone! "

Cao Shen looked at the two people and said, "How about the country encrypts the original map and then issues an authorization code to the car owner to decrypt it?"

Slender Eyes nodded:

"We will study this method internally. As for whether we can open up the surveying and mapping qualifications to you, I will also ask the superiors for instructions.

After all, this is related to a major safety issue, so we must be cautious.

In addition, I don’t know what Wang Gong means. "

The handsome old man nodded:

“The stuff is really good and of great practical value.

Since there are entrepreneurs who are willing to spend the money to do it, there is no need for us to obstruct it within the scope of safety.

After all, to promote national technological progress and industrial upgrading, we must rely on a large number of social forces.

Times have changed, and many companies have the ability to master more advanced technologies. We need support and cooperation. "

Even if he let go, Xiao Gang nodded to Cao Shen, indicating that he would help Cao Shen with the follow-up matters.

The tall man also winked at Cao Shen. It seemed that he would help him later. The tall man continued:

“We assume that the problem of high-precision maps can be solved.

I now want to know the next steps.

For autonomous driving, the system must complete the three steps of perception, decision-making, and execution, and execute and dispatch the various control systems of the car in a very short time. This requires powerful computing power and ultimate control of each part.

Is the existing car's electrical and electronic architecture capable of achieving this kind of control?

I am afraid that the existing central processing units cannot meet such performance...

In other words, the structure and hardware may not be able to keep up.

And for car manufacturers, in addition to opening up many interfaces and control permissions to let a third-party "autonomous driving" control their own cars, it is hard to say who will be blamed if there is a problem.

Have you ever considered these practical issues? "

As expected of a leader in charge of industrial ports, this issue is quite professional.

Cao Shen sat up straight, here he comes!

The real big stuff is about to begin today!