Yesterday, General Motors CEO Mary Barra announced Ultra Cruise, its next-generation, hands-free driver-assist system, will be powered by a scalable compute architecture featuring system-on-chips developed by U.S. semiconductor company Qualcomm Technologies.
Today, GM is offering additional detail about how it intends to use Qualcomm’s Snapdragon Ride Platform for ADAS technology to enable door-to-door hands-free driving.
Ultra Cruise’s compute (pictured, below), which is about the size of two laptops stacked together, will be available in 2023 on vehicles including the ultra-luxury, battery-electric Cadillac Celestiq.
With high-performance sensor interfaces and memory bandwidth, it will, in combination with GM’s homegrown Ultra Cruise software stack, be key to helping Ultra Cruise achieve outstanding capability, reliability, predictability and hands-free driving in 95% of all driving scenarios, the automaker says in a news release.
“Despite its relatively small size, Ultra Cruise’s compute will have the processing capability of several hundred personal computers,” says Ken Morris, GM vice president-Electric, Autonomous and Fuel Cell Vehicle Programs. “It will take qualities that have distinguished GM’s advanced driver-assist systems since 2017 to the next level with door-to-door hands-free driving.”
The Ultra Cruise compute will help power GM-developed ADAS software and features, including perception, planning, localization and mapping. These Ultra Cruise capabilities were developed in-house at GM engineering facilities in Israel, the U.S., Ireland and Canada.
To ensure a robust and predictable system with minimal latency, GM integrated Ultra Cruise’s software on an optimal hardware design, overlaying cameras, radar and lidar. This low-level sensor fusion and Ultra Cruise’s software stack are proprietary to GM and not available on the automotive aftermarket.
The Ultra Cruise compute comprises two SnapdragonSA8540P SoCs and one SA9000P AI accelerator to deliver key low-latency control functions on 16-core CPUs and high-performance AI compute of more than 300 Tera Operations Per Second for camera, radar and lidar processing.
The Snapdragon SoCs are designed with 5nm process technology, enabling superior performance and power efficiency, GM says. The Snapdragon SA8540P SoCs will provide the necessary bandwidth for Ultra Cruise’s sensing, perception, planning, localization, mapping and driver monitoring.
Along with Snapdragon Ride SoCs, which are designed to meet automotive system safety standards with multiple redundancies built in, the compute includes an Infineon Aurix TC397 processor for system safety integrity. The Aurix TC397 is categorized ASIL-D – the highest Automotive Safety Integrity Level.
GM says it has minimized complexity within the compute, opting for an air-cooled instead of liquid-cooled system that avoids heavy and inefficient thermal cooling lines throughout the vehicle, made possible by Snapdragon Ride’s high-performance, high-efficiency design.
Ultra Cruise’s compute will also have the capability to evolve over time by leveraging Snapdragon Ride’s SoCs performance and high-speed interfaces for future expansion, as well as over-the-air software updates enabled through the Ultifi software platform and GM’s Vehicle Intelligence Platform electrical architecture.
