What are the roles of big data and cloud computing in autonomous driving technology?

Solve the hardware cost problem of autonomous driving with big data and cloud computing? Nauto received $654.38 million+$59 million in Series B investment.

Zhang Yuxi? 20 17-07- 19 ? What is the next step?

Everyone gathers firewood and the flame is high? Can the intelligent driving instrument network form an automatic driving network?

On July 19, 2065438, Nauto, a San Francisco-based automotive AI automation technology company, won the Series B financing with a total investment of * * *1590,000 US dollars, led by Softbank and Greylock Partners, followed by Toyota AI Ventures, BMW I Ventures and General Motors Ventures. This financing is mainly used to develop autonomous driving technology.

Nauto's main business is to improve driving safety through deep learning. At present, Nauto is cooperating with insurance companies to launch the second-generation AI driving recording device, which can detect the driver's eyes, chest and head through internal and external cameras to judge whether the driver is in a safe driving state, remind the driver of potential dangers on the road, and save the uploaded data in time.

Nauto's driving recorder is not operated independently. Every mobile phone equipped with Nauto Driving Recorder app has formed an intelligent network of road conditions, and through Nauto's deep learning technology, it constantly calculates how to reduce driving risks.

It is worth noting that Nauto's partners Toyota AI Ventures, BMW I Ventures and General Motors Ventures also participated in this investment, which enabled Nauto's partners to use Nauto's Zhaolian network of driving recording equipment to accelerate the research of driverless technology.

Masayoshison, Chairman and CEO of Softbank Capital, believes that Nauto's cloud data will accelerate the safe and efficient unmanned research process.

At present, Nauto has not disclosed the research details of its driverless car, but founder Stefan Heck said that they are in no hurry to install driverless software on existing cars because they hope to test on the road after their technology can cope with all difficult situations.

Nexar and Nauto are both AI driving recording devices, and similarly, safe driving is achieved through cloud computing. In 20 15, Nexar completed the A-round financing of USD 4 million.

The hardware equipment used in traditional driverless systems of Baidu, Google and other companies is LiDAR (Laser Radar), which is extremely expensive and hinders the popularization of driverless technology. Nauto's driving recorder+Zhilian driverless system with cloud data relatively reduced a lot of hardware costs.

The low-cost solution is also the domestic unmanned system "intelligent walker", which uses millimeter wave radar+ultrasonic wave+camera to provide unmanned system.