OREANDA-NEWS. May 24, 2018. BMW Group officially obtained the Shanghai Intelligent Connected Autonomous Driving Test License, issued by the Intelligent Connected Vehicle Road Test Promotion Team - consisting of Shanghai Municipal Commission of Economy and Informatization, Shanghai Municipal Public Security Bureau and Shanghai Municipal Transportation Commission.

Thus, the BMW Group has become the first international auto maker to obtain the Autonomous Driving road test license in China, marking a big step on its path to Autonomous Driving. This achievement underlines BMW Group’s leading role in the development of autonomous driving in the Chinese automotive industry.

BMW Group implements its Strategy NUMBER ONE > NEXT worldwide, and continues to carry out the layout in "A.C.E.S.", namely, Autonomous Driving, Connectivity, E-Mobility and Shared services, to create exciting solutions and innovative mobility experiences for customers - and by doing so - speeding up its transformation into a technology company. Autonomous Driving, an important part of the "A.C.E.S." layout, will change the future of individual mobility in a revolutionary way, significantly improving the safety and convenience of premium individual mobility.

China is promoting Autonomous Driving as a part of boosting intelligent connected vehicles (ICVs) and its recent “smart city, smart China” initiative, giving China a vital role in BMW Group?s Autonomous Driving development program. BMW anticipated this development - and was first to demonstrate and publish L3 highly Autonomous Driving on a designated highway under government supervision in Chengdu as early as 2016.

To carry out road tests for the preparation of L4 Autonomous Driving R&D in China, Shanghai is an attractive, innovative city, matching perfectly with BMW Group's vision of future mobility. The BMW Group has set up a strong local team in Shanghai, including over 60 experts in Autonomous Driving.

Using the license, the R&D team will gather several Petabyte of data based on actual traffic, covering its full complexity. This data will be used to train machine learning algorithms performing adequate L4 Autonomous Driving behaviour.