In a bid to enhance auto driving, Daimler Greater China, a subsidiary of Mercedes-Benz Group, has signed a strategic memorandum of partnership with Tencent Cloud Computing Beijing to strengthen high-level autonomous driving in the country.
Cloud computing, big data, and artificial intelligence technologies will be used in the agreement to accelerate the simulation, testing, and application of Mercedes-autonomous Benz’s driving technology.
This collaboration will boost R&D resources and assist Mercedes-Benz and Nvidia in developing self-driving car technology in China. To that end, a joint laboratory for autonomous driving will be established to accelerate Mercedes-research Benz’s development in this field and better serve the Chinese market.
Mercedes-Benz and Tencent will collaborate to provide integrated, high-performance, and stable cloud service support for Mercedes-Benz via IT architecture, tools, and platforms with extensive experience in autonomous driving, cloud computing, big data, and artificial intelligence. Simultaneously, Tencent will lend its expertise in car networking security to Mercedes-R&D Benz’s automated driving in China.
Over the years, the duo company has been working together in various partnership businesses. Mercedes-Benz was the first luxury car manufacturer to collaborate with Tencent to launch MyCar, an innovative service designed to meet the needs of Chinese customers, in 2015. In the future, both parties say they are eager to investigate the possibility of expanding their collaboration into new areas.
Speaking on the strategic partnership, the Senior Executive Vice President of Mercedes-Benz China, Dr. Hans Georg Engel, said the firm is the world’s first automobile enterprise to meet the stringent legal requirements of the L3 automated driving system.
“We are delighted to be working with local partners like Tencent,” said Dr. Hans Georg Engel, ‘Mercedes-Benz is the first automobile enterprise in the world to meet the strict legal requirements of the L3 automated driving system. In China, we are intensively developing and testing the current and next-generation automated driving systems. To succeed in this field, in-depth insight into local complex traffic and market demand is very important.”
