
Qualcomm Technologies, Inc. and Great Wall Motor Company Limited (GWM) announced the companies’ working relationship in autonomous driving, under which GWM will use the Qualcomm® Snapdragon Ride™ Platform to build its advanced intelligent driving system of high computing power—GWM “Coffee Intelligence” system—and adopt the system in its premium production vehicles starting in 2022. GWM is among the first automakers in China to use the Qualcomm Snapdragon Ride Platform. The expanding relationship between the two companies will facilitate accelerated commercialisation of autonomous driving and delivery of new driving experiences that meet the demand in future smart mobility scenarios.
To deliver a comprehensive, cost and energy-efficient systems solution for multiple classes of vehicles, the Snapdragon Ride Platform, one of the automotive industry’s most advanced, scalable and open automated driving solutions, aims to address the complexity of autonomous driving (AD) and Advanced Driver Assistance System (ADAS) use cases across industry segments by leveraging its high-performance, power-efficient hardware, industry-leading artificial intelligence (AI) technologies and pioneering autonomous driving stack. The Snapdragon Ride Platform is built on scalable and modular heterogeneous high-performance multi-core CPUs, energy-efficient AI and computer vision (CV) engines and cutting-edge GPU to support multiple segments of autonomous driving and offer industry-leading thermal efficiency.
The new GWM “Coffee Intelligence” system based on the Snapdragon Ride Platform will provide leading computing performance with its exceptional computing power at industry-leading power efficiency. The GWM “Coffee Intelligence” system supports multiple high-resolution cameras and offers users L2+ and L3 intelligent driving capabilities with multi-source heterogeneous sensors. Moreover, paired with an upgraded solution featuring two standard high-computing power platforms, this intelligent driving system can deliver computing power of 700+ TOPS and reserve sufficient hardware capabilities and computational redundancy for L4/L5 and more complicated full-scenario autonomous driving capabilities.
“GWM and Qualcomm Technologies have deep and longstanding relationship across many technology areas. The Snapdragon Ride Platform brings forth Qualcomm Technologies’ deep expertise in computing, AI, connectivity and security, and is designed for demanding automotive safety,” said Lei Xian, vice president of sales and business development, Qualcomm International (Shanghai) Co., Ltd. “We are pleased to support GWM’s technological innovation with this solution to build next-generation premium vehicles for multiple segments of autonomous driving.”
“Data explosion in the era of AI has driven a huge demand for data processing throughput and computing power. Thanks to the high computing capabilities and scalability of the Snapdragon Ride Platform, GWM will be able to offer comprehensive multi-segment capabilities in our future vehicles, from driver assistance system to high-level autonomous driving,” said Kai Zhang, Head of Intelligent Driving, Great Wall Motor. “This advanced autonomous driving technology will enable the transformation of GWM from automaker to the ‘global mobility technology company’.”


Archive
- January 2021(46)
- December 2020(53)
- November 2020(59)
- October 2020(79)
- September 2020(72)
- August 2020(64)
- July 2020(71)
- June 2020(74)
- May 2020(50)
- April 2020(71)
- March 2020(71)
- February 2020(58)
- January 2020(62)
- December 2019(57)
- November 2019(64)
- October 2019(26)
- September 2019(24)
- August 2019(15)
- July 2019(24)
- June 2019(55)
- May 2019(82)
- April 2019(77)
- March 2019(71)
- February 2019(67)
- January 2019(77)
- December 2018(46)
- November 2018(48)
- October 2018(76)
- September 2018(55)
- August 2018(63)
- July 2018(74)
- June 2018(64)
- May 2018(65)
- April 2018(76)
- March 2018(82)
- February 2018(65)
- January 2018(80)
- December 2017(71)
- November 2017(72)
- October 2017(75)
- September 2017(65)
- August 2017(97)
- July 2017(111)
- June 2017(87)
- May 2017(105)
- April 2017(113)
- March 2017(108)
- February 2017(112)
- January 2017(109)
- December 2016(110)
- November 2016(121)
- October 2016(111)
- September 2016(123)
- August 2016(169)
- July 2016(142)
- June 2016(152)
- May 2016(118)
- April 2016(60)
- March 2016(86)
- February 2016(154)
- January 2016(3)
- December 2015(150)