Outside the field of family cars, what are the application values of autonomous driving?

Hello, from design to modeling to AI intelligence, autonomous driving involves many aspects of knowledge. Many professionals also said that any part of it is an undergraduate thesis, and a few days ago, Huawei "genius boy" independently developed self-driving bicycles.

1. Self-driving bicycle

Recently, a video of a self-driving bicycle has caused a heated discussion. The inventor of the bicycle is AI algorithm engineer and video blogger Zhi Huijun. He has long been famous in the science and technology circle because he was selected into Huawei's "Genius Boy" program, and he is a great god admired by many electronic enthusiasts.

This bicycle R&D project has made outsiders intuitively feel the charm of top R&D talents in China. Many professionals also said that any link from hardware transformation to algorithm programming is an undergraduate graduation thesis!

A recent bicycle wrestling accident gave him the idea of "being a self-driving bicycle". It finally took 4 months, from design modeling to hardware transformation to AI intelligence ... all independently.

finally, this bicycle with automatic driving function has really achieved the functions of automatically controlling balance, automatically driving, turning and avoiding obstacles.

In the video, he also said that 221 is the first year of the outbreak of autonomous driving, and Internet giants including Huawei and Xiaomi have entered the market to make bets, empowering the traditional automobile manufacturing industry by providing Internet IT technology, and realizing the mass production of self-driving cars.

Of course, the function realization of self-driving cars is much more complicated than that of bicycles. So, as enterprises representing the two mainstream self-driving technologies at present, Huawei and Tesla, what technical routes are adopted to realize self-driving?

Take Huawei as an example. Huawei is a representative enterprise that adopts the automatic driving scheme of "visual algorithm+lidar". Huawei is equipped with 1-line laser radar in its automatic driving system, as well as microwave radar, RYYB sensor and visual analysis system to achieve better recognition effect of driving environment.

at the same time, in order to reduce the production cost and selling price, Huawei has controlled the cost of self-developed lidar within $2, and plans to reduce the cost to $1 within two years.

In practical application, algorithm engineer, big data engineer and other technical posts are in a relatively core position.

2. What is the treatment of Huawei's technical posts

After HarmonyOS 2 was officially released by Huawei a few days ago, as a system oriented to the Internet of Everything, HarmonyOS system has aroused the discussion of netizens.

HarmonyOS has covered all kinds of smart IOT products, such as mobile phones, pads, watches, smart screens, speakers and so on, since it came out two years ago. For HarmonyOS, many people think that it just appears as a substitute for Android and iOS. In fact, this view is wrong.

HarmonyOS was born for the Internet of Everything, bearing Huawei's dream of the Internet of Everything, and also China's dream of independently developing an operating system. This means that the era of the Internet of Everything is coming, and more devices besides mobile phones will be networked and remotely controlled.

networked devices need to be interconnected and share data. These connections can't be completed just by relying on Android and iOS. At this time, a brand-new distributed operating system spanning all kinds of terminals is needed.

all kinds of intelligent devices, including self-driving cars, can realize data synchronization and convenient interaction among multiple devices through a unified distributed operating platform. Whether it is the research and development of self-driving cars or the application of HarmonyOS system, Huawei engineers have taken on many responsibilities.

Huawei employees are divided into 13-22 grades, and 23 and above are high-level boss, and their grades are not displayed on the intranet. Each level is divided into three minor levels: A/B/C (technical posts are not divided into minor levels). Most Huawei employees are below Grade 18. Usually, ordinary employees who have worked in Huawei for ten years are around Grade 16-17, and their salary is about 6,-7,.

Huawei's employee income generally includes three parts: salary, bonus and dividend. The higher the position level, the greater the proportion of dividends. Generally, the year-end bonus for Huawei employees above grade 15 is 6-12 months' salary.

Take Huawei's recruitment as an example. Huawei offers a monthly salary of up to 4, to big data development engineers with 1-3 years' experience. In the recruitment of other big manufacturers, big data development engineers with 3k-6k only need 1-3 years' work experience. The reason why big manufacturers are willing to pay high salaries to talents such as big data engineers is due to the shortage of big data talents at this stage.

According to the Report on Big Data Talents, there are only 46, big data talents in China at present, and the gap of big data talents will continue to expand to more than 2W in the next 3-5 years. Among them, the shortage of talents such as "software development", "cloud computing", "UI design" and "big data" is the most prominent, so it has become a very good entrance to the Internet industry. The complete information here gives you hope to help.

I hope my answer will help you!