Technological Hegemony

Chapter 272: 4 big problems with hardware!

After sending away Enron and Li Moran, Luo Jia called Shen Lang to himself after school in the afternoon and asked him about his recent studies.

At the beginning, geniuses like Enran and Cao Yuan completed the six-year middle school courses in one or two years. The talents of Xingchen University are higher in density and the teachers are more professional, so the progress is fast.

By next spring, Shen Lang and the best genius in the school will end the high school curriculum.

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

However, Xingchen University teaches students according to their aptitude, and each student's progress and curriculum are different. These situations are completely under the control of the school and will not cause any trouble to the teaching work.

In general, the internationalization efforts of Xingchen University failed in the end. Due to the resistance of foreign forces, the number of small foreign geniuses was very small.

Shen Lang frowned for a few minutes, then said to Luo Jia, "I think the teacher's counterattack with great fanfare is very correct."

"why?"

"Because of confidence."

"confidence?"

"Yes." Shen Lang said earnestly, "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 entire Huaxia is staring at the car. Whether the industry can become larger, after all, only when the automobile industry becomes larger can the problem of laid-off workers be truly solved. "

"In short, power workers are about to lose their jobs, and their nerves are already very fragile. They can no longer let them lose confidence."

Luo Jia nodded slightly, although Shen Lang was young, but he took things very seriously, letting others be laid off is a scapegoat, and the reason why everyone can accept laid off is because they will find a new job, and they will still have food in the future.

Therefore, on the road of expanding the automobile industry, Xingchen Technology cannot take one step. It must always remain strong and give everyone full confidence.

That night, Luo Jia thought for a long time. When the brainstorming group gathered in the morning, he already had a comprehensive plan in his mind.

Many people who do n’t know about autonomous driving technology will find this technology to be nothing special, and they do n’t know that if they want to truly achieve autonomous driving, at the hardware level alone, Star Technology must solve four major problems.

The first problem is called the industrial computer.

In simple terms, the industrial computer is the brain of the automatic driving system. You can also understand it as a small computer installed in the body. No matter the advanced algorithm or the 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.

Xingchen Technology's Semiconductor Division took over the R & D tasks of industrial computers.

Fang Yuanchu suggested to Luo Jia that due to time constraints and heavy tasks, he could join hands with his old team, that is, Hisilicon, a subsidiary of Huawei, to assign some development tasks to Hisilicon, and eventually Star Technology would fully integrate it.

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

As for the semiconductor business unit of Xingchen Technology, although it has considerable strength after years of recruitment and purchase, since the semiconductor business unit is not independent, they are still a mystery to the outside world.

The industrial control computer has a lot of applications in the industrial field, but it also has huge grades. High-end industrial control and low-end industrial control have never been a thing.

Just like the most advanced fourth-generation stealth fighter, one of the core technologies is the flight controller. In essence, the flight controller also belongs to the industrial control aircraft, but the technical level is really high in the sky. The national team uses it. A team of tens of thousands of people has been working on flight control technology.

The level of industrial control computers needed to achieve autonomous driving is certainly not higher than that of aircraft, but it is also a typical high-end technology. Hisense's entry can speed up the development progress.

Based on the relationship between Xingchen Technology and Huawei, it is not difficult to pull Hisilicon over. In terms of interests, Luo Jia has never had a precedent for exploiting partners and always brings everyone together to make a fortune.

As for the second problem, it is called CAN.

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

For example, the current speed is sixty, and the sensor measures the speed, but how do you 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 channels between machines.

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

Global positioning technology is not difficult to solve. Huaxia has a Beidou system. If it cooperates 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 called IMU for short, is more difficult.

Relying on global positioning and the IMU, you can know where the vehicle is and which direction it is driving. In addition, the IMU can provide richer information such as yaw angular velocity, angular acceleration, etc., which can help the positioning and decision control of autonomous vehicles .

The fourth challenge is the sensor.

In current autonomous vehicles, three major sensing systems are required at the same time: vision sensors, laser sensors, and radar sensors.

The vision sensor is a binocular camera, which can provide stereo vision perception, not only for autonomous driving technology, but also for future robotics technology.

Industrial binocular sensing cameras and mobile phone cameras are not the same thing, and the largest player in this field is the subsidiary of Xingchen Technology, Xingchen Optics.

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

There are three major foreign competitors, Israel Mobileye, Canada PointGrey, Germany Pike, all of which have lower technology levels than Star Optics.

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

At present, the highest level in the global civil field can be achieved at 128 lines. In the military field, it is no problem to achieve thousands of lines at any cost.

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

The last is the radar sensor, which is more common. The front and rear reversing radar is a typical radar sensor. The research of this thing is mainly auto parts manufacturers, Denso, Bosch, China, Delphi and so on.

The radar sensor Xingchen Optics did not do it, but another subsidiary, Xingchen Electric, has a radar sensor team and a production line.

It can be seen that although the sensor is the most complicated and most diverse of the four major hardware, it is the natural strength of Xingchen Technology. Xingchen Optics has vision and lasers, and Xingchen Electric has radar. It can be used directly without it. Development.

So far, the tasks of the hardware department have been arranged, and the semiconductor business department of Fang Yuanchu has taken the lead, and Huawei Hisilicon cooperates with Star Research Institute.

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

"After spending nearly a decade and spending 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."

"In addition, there are Apple, IBM, Microsoft, and so on. These giant companies have autonomous driving research teams, but who has launched a real product? No, none."

"Because autonomous driving not only solves the hardware problem ~ www.wuxiaspot.com ~ the more difficult is the software problem."

"Thankfully, when we launched the electric balance car two years ago, we started the pre-research on autonomous driving technology, and we also have one of the largest industrial software teams in the world."

"Li Moran's software center has now reached a scale of nearly 20,000 people. If it is not enough, we will also pull out the subsidiary Star Search! It is also a top team of more than 12,000 people!"

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

Everyone heard Luo Jia's words, and raised their chests proudly.

No one will forget that the software team of Xingchen Technology has won three epic projects in search engine, operating system, industrial software, and in addition, they also have Eyes of the Sky and Xingchen. These two projects also made history. .

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

"After all the strength is gathered, what we want to solve is the five major problems of autonomous driving software," Luo Jiadun said.

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