AIR 036 | Car Rental CIO in China: Become a Smart Carrier in the Age of Smart Driving

“Automated driving is very important and interesting from the perspective of China, but this event will eventually come to a commercial, platform, and alliance. So we look at the future of automation from the perspective of smart travel. What role does driving play in the development of our entire city?" Liu Yaxi, chief information officer of China Car Rental Co., said at today's GAIR conference.

It is understood that China’s special car has rented 4,500 vehicles from Shenzhou’s car rental and specializes in providing B2C services. And since the beginning of last year, it has invested heavily in artificial intelligence driving. Shenzhou hopes to build an overall travel platform in the future. Liu Yaxi said that this is the background for the development of China.

Automated driving is a very hot topic. Liu Yachen said in his speech that from the perspective of an operator, automatic driving will soon mature. However, what problems do you have with autopilot?

Liu Yayi raised three topics: Is the computing power of wireless networks and in-vehicle devices powerful enough? There is so much data in the driving world. What is the current realization of car networking? Does the automotive industry's standards and road traffic standards achieve a complete ecological chain with autonomous driving?

From the point of view of the travel system to realize the practical entry point of autopilot, China hopes to become a smart operator in the era of smart driving.

Liu Yaxi thinks that there are three important things that need to be met by the operator when driving on the road automatically:

The processing capacity is greatly enhanced, and cloud computing allows us enough space to store data;

The popularity of the Internet of Things and the Internet has greatly enriched the data. Under such large data, there are very good means to enrich your training level. For example, Deep Mind is also on the Internet and his own numerous chess games. , you can find the game yourself;

The popularity of research platforms, Deep Leaning is everyone's contribution.

Liu said that from the current perspective, although deep learning has achieved great success in the IT community, autonomous driving can be successful, and there is a huge gap that needs to be crossed. For example, the autopilot platform is a car that needs to be maintained, purchased, operated, repaired, and managed. The autopilot system does not seem to differ much from the existing vehicle system.

He said that from the perspective of China as an operator, there are three points: whether the data is sufficient, whether the business is mature, and whether the ecosystem is open. After the launch of the driverless car, Shenzhou hopes that through the participation of Shenzhou, all personnel in the industry chain will be able to earn money and allow the industry to develop normally. This is a purpose of China's autonomous driving.

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