Mercedes-Benz and NVIDIA to build software-defined computing architecture for automated driving across future fleet
Mercedes-Benz and NVIDIA plan to enter into a cooperation to create a new in-vehicle computing system and AI computing infrastructure. Starting in 2024, this will be rolled out across the fleet of next-generation Mercedes-Benz vehicles, enabling them with upgradable automated driving functions.
The new software-defined architecture will be built on the NVIDIA DRIVE platform and will be standard in Mercedes-Benz’ next-generation fleet, enabling state-of-the-art automated driving functionalities. A primary feature will be the ability to automate driving of regular routes from address to address. In addition, there will be numerous future safety and convenience applications.
Centralizing and unifying computing in the car will make it easier to integrate and update advanced software features as they are developed.
Customers will be able to purchase and add capabilities, software applications and subscription services through over-the-air software updates during the life of the car.
Automated driving functions in future Mercedes-Benz cars will be powered by NVIDIA’s next generation DRIVE platform. The computer system-on-chip (SoC), called Orin, is based on the recently announced NVIDIA Ampere supercomputing architecture.
The NVIDIA DRIVE platform includes a full system software stack designed for automated driving AI applications. NVIDIA and Mercedes-Benz will jointly develop the AI and automated vehicle applications that include SAE Level 2 and 3 levels, as well as automated parking functions (up to Level 4).
The new system’s capabilities will be harnessed with a total focus on safety. As the technology and regulatory framework develop, it will be possible for every car to be updated over-the-air to enable new automated driving functions. Convenience as well as other safety features will also be available.
To develop the new models, both companies will be utilizing NVIDIA DRIVE Infrastructure solutions to enable data driven development and deep neural network development to handle the requirements of the regions and operational domains where the cars will be available.