Seeing off An Ran and Li Moran, Luo Jia called Shen Lang to his side after school in the afternoon and asked him about his recent studies.

At the beginning, geniuses like An Ran and Cao Yuan all completed the six-year middle school course in one or two years, and the geniuses of Xingchen University had a higher learning density and more professional teachers, so the progress was fast.

By next spring, Shen Lang and the best geniuses in the school will end their high school classes.

And the slowest progress is those foreign geniuses, who have to master Chinese skills while learning knowledge, so the progress is much behind.

However, Xingchen University teaches students according to their aptitude, and each student's progress and class schedule are different, which is completely under the control of the school and will not bring any trouble to the teaching work.

In general, the internationalization efforts of Xingchen University ultimately failed, and due to the resistance of foreign forces, the number of foreign young geniuses was extremely small.

Shen Lang frowned and thought for a few minutes, and then said to Luo Jia: "I think the teacher's method of counterattacking with great fanfare is very right. ”

"Why?"

"Because of faith."

"Faith?"

"Yes." Shen Lang said seriously, "the entire domestic automobile industry has made considerable sacrifices, the joint venture has not joined the electric vehicle alliance, and due to the impact of the new energy plan, the whole Huaxia is staring at whether the automobile industry can become bigger, after all, only the automobile industry is bigger, can really solve the problem of power layoffs." ”

"To put it simply, power workers are about to lose their jobs, and their nerves are already very fragile, and they can't be allowed to lose confidence anymore."

Luo Jia nodded slightly, although Shen Lang is young, he sees things very thoroughly, letting others be laid off is to carry the black pot, and the reason why everyone can accept the layoff is because they are confident that they will find a new position and will still have food in the future.

Therefore, on the road of expanding the automobile industry, Xingchen Technology cannot let one step go, and must always maintain a strong position to give everyone full confidence.

That night, Luo Jia thought for a long time, and when the brainstorming group gathered in the early morning, he already had a whole plan in mind.

Many people who don't know about autonomous driving technology will feel that this technology is not a big deal, and they don't know that in order to truly realize autonomous driving, at the hardware level alone, Xingchen Technology must solve four major problems.

The first problem is called industrial computer.

To put it simply, the industrial computer is the brain of the autonomous driving system, and you can also understand it as a small computer installed in the body, no matter how advanced the algorithm, no matter how much real-time data, this brain needs to be processed.

At present, the strongest Baidu Apollo system in China uses a GPU industrial computer, model Nuvo-5095GC.

The semiconductor division of Xingchen Technology took over the research and development task of industrial computers.

Fang Yuanchu suggested to Luo Jia that due to the tight time and heavy tasks, he could join hands with the team of his old employer, that is, HiSilicon Semiconductor, a subsidiary of Huawei, to assign some development tasks to HiSilicon, and finally Xingchen Technology would do full integration.

This proposal was accepted by Luo Jia, and there are many domestic semiconductor design companies, but only HiSilicon can rank among the top five in the world.

As for the semiconductor division of Xingchen Technology, although after years of recruitment, the strength is considerable, but because the semiconductor division is not independent, they are still a mystery to the outside world.

Industrial computer has a large number of applications in the industrial field, but it also has a huge level, high-end industrial control and low-end industrial control, has never been a thing.

Just like the most advanced fourth-generation stealth fighter, one of the core technologies is the flight controller, and the flight controller is essentially an industrial computer, but the technical level, it is really high to the sky, and the national team has used a team of tens of thousands of people to engage in flight control technology.

Of course, the level of the industrial computer required to realize autonomous driving is not as good as that of an airplane, but it is also a typical high-end technology, and HiSilicon's entry into the game can accelerate the development progress.

With the relationship between Xingchen Technology and Huawei, it is not difficult to pull HiSilicon over, and in terms of interests, Luo Jia has never had a precedent of exploiting partners, and has always brought everyone to make a fortune together.

As for the second puzzle, it's called CAN.

The interaction between the industrial computer and the automobile chassis must pass through a special CAN language, so CAN can be understood as an industrial language decoder.

For example, the current speed of the car is 60, and the sensor has measured the speed, but how to tell this information to the industrial computer? Everyone is a machine, and no one can speak.

Therefore, CAN technology is needed to solve the problem of information path between machines.

The third challenge is global positioning technology and inertial measurement units.

Global positioning technology is not difficult to solve, Huaxia has a Beidou system, if it is combined with the North American GPS system, it can form a dual positioning channel to obtain accurate vehicle positioning information.

But the inertial measurement unit, which is referred to as the IMU, is more difficult.

With global positioning and IMUs, it is possible to know where the vehicle is and which direction it is driving, and the IMU can also provide richer information such as yaw velocity, angular acceleration, etc., which can help with the positioning and decision-making control of autonomous vehicles.

The fourth challenge is sensors.

In today's autonomous vehicles, three major sensing systems are needed at the same time, namely vision sensors, laser sensors, and radar sensors.

Vision sensors are binocular cameras that provide stereo vision perception, which will be used not only in autonomous driving technology, but also in future robotics technology.

Industrial binocular perception cameras and mobile phone cameras are not the same thing, and the biggest player in this field is Xingchen Technology's subsidiary, Xingchen Optics.

After years of expansion and development, Xingchen Optics is no longer a small factory that can only build cameras, but a large-scale complex with sensing, remote sensing, laser, astronomical optics, medical optics, optical software, and many other fronts.

There are three main foreign competitors, Mobileye in Israel, PointGrey in Canada, and Pike in Germany, all of which are lower than Xingchen Optics.

Laser sensors are divided into single lines and multi-lines, and each additional line will increase the cost accordingly, and the detection effect will be enhanced.

At present, the highest level in the global civilian field can achieve 128 lines, and in the military field, there is no problem in achieving thousands of lines at any cost.

The more well-known laser sensor manufacturers include Velodyne and Quanergy in the United States, Ibeo in Germany, and Suteng Juchuang, Hesai Technology, and Xingchen Optics in China.

Finally, there is the radar sensor, which is more common, the front and rear reversing radar is a typical radar sensor, and the main research on this thing is auto parts manufacturers, Denso, Bosch, Continental, Delphi and so on.

Radar sensor Xingchen Optics did not do it, but another subsidiary, Xingchen Electric, they have a radar sensor team and production line.

It can be seen that the sensor, although it is the most complex of the four major hardware, the most varied, but it is the natural strength of Xingchen Technology, Xingchen Optics has vision and laser, Xingchen Electric has radar, you can use it directly, no need to develop it separately.

At this point, the task of the hardware department has been arranged, led by Fang Yuanchu's semiconductor business department, with the cooperation of Huawei HiSilicon and Xingchen Research Institute.

Luo Jia glanced at the words written on the whiteboard and said to everyone, "On November 1, 2017, Google, the global Internet giant, officially gave up the development of autonomous driving technology, and its subsidiary WAYMO was completely closed. ”

"After spending nearly a decade and billions of dollars, Google still chose to give up, which shows that autonomous driving technology is actually very difficult, and the technical level is also very high."

"Then there's Apple, IBM, Microsoft, and so on, all of which have autonomous driving research teams, but who has the real product? No, not a single one. ”

"Because autonomous driving not only has to solve the problem of hardware, but also the software problem."

"Thankfully, we started the pre-research of autonomous driving technology two years ago when we launched the electric self-balancing scooter, and we also have the world's largest industrial software team."

"The software center in charge of Li Moran has now reached a scale of nearly 20,000 people, and if it is not enough, we will also pull out the subsidiary Xingchen Search! That's also a top team of more than 12,000 people! ”

"In the field of software, we are also the strongest on this planet!"

Everyone listened to Luo Jia's words and puffed up their chests proudly.

No one will forget that Xingchen Technology's software army once won the search engine, operating system, industrial software, three epic projects, in addition, they also have Sky Eye and Xingchen Dating, those two projects also made history.

It can be seen that although the software corps of Xingchen Technology has a low-key style, its strength is not low-key at all.

"After gathering all our strength, what we need to solve is the five major problems of autonomous driving software." Luo Jia paused and said.