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Tech

Chinese Tech Giant Baidu to Bring Self-Driving Cars to the U.S.

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Michal Addady
Michal Addady
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By
Michal Addady
Michal Addady
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March 17, 2016, 1:28 PM ET
Baidu Inc.'s Autonomous Car Project And Senior Vice President Wang Jing Interview
The Baidu Inc.'s autonomous car stands at the company's headquarters in Beijing, China, on Tuesday, Jan. 19, 2016. Wang Jing, the senior vice president in charge of Baidu's autonomous driving efforts, is on a mission: To push China to the forefront of the coming driverless-car era. He thinks the company can leverage its expertise in artificial intelligence, data mapping and Internet connectivity to excel in autonomous driving technology. Photographer: Qilai Shen/Bloomberg via Getty ImagesePhotograph by Qilai Shen—Bloomberg via Getty Images

The “Google of China” is reportedly bringing its driverless cars stateside.

In a push to release a self-driving vehicle in less than three years, Baidu (BIDU) will begin testing its autonomous cars in the U.S., the Wall Street Journal reports. The Beijing-based search engine company, founded about 16 years ago, is looking toward its Silicon Valley office to work towards that goal. The expanding Sunnyvale, California office is currently 160 employees strong and is led by artificial intelligence scientist Andrew Ng.

Baidu already has commitments with Chinese car manufacturers to release its first driverless car, which Ng says may not even have a steering wheel, and it plans to have a self-driving shuttle on Chinese public roads by the end of 2018. The shuttle will have a standard, limited route that will continue to grow as progress is made.

Baidu—alongside other companies like Google (GOOGL) and General Motors (GM)—is also actively encouraging a push for better coordination between autonomous vehicle manufacturers and the U.S. government, saying that it’s necessary to make small changes to existing infrastructure and ease regulatory obstacles in order to get self-driving cars on the road. The company has suggested a mobile application that would allow construction workers and law enforcement to engage with the vehicles, informing them how to navigate road closures or when someone is directing traffic.

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