Electric car manufacturer Xpeng unveiled the G9 SUV at the China International Guangzhou Auto Show this week (earlier post). This smart, software-defined vehicle is built on NVIDIA DRIVE Orin's high-performance computing and provides AI capabilities that are continuously upgraded with each wireless update.

This new flagship SUV designed for the international market and the Chinese market makes its debut on the Xpeng X-EEA 3.0 centralized electronic and electrical architecture and Xpilot 4.0 advanced driver assistance system, bringing a seamless driving experience. The G9 is also compatible with the next-generation "X-Power" supercharger, which can charge up to 124 miles in 5 minutes.

This SUV is the first artificial intelligence assisted driving system equipped with Xpilot 4.0, which can realize address-to-address autonomous driving, including valet parking.

Xpilot 4.0 is based on two NVIDIA DRIVE Orin system-on-chips (SoCs), achieving 508 trillion operations per second (TOPS). It uses an 8-megapixel front camera and a 2.9-megapixel side-view camera to cover front, rear, left, and right viewing angles, as well as a highly integrated and expandable domain controller.

The technology is integrated into a centralized computing architecture to achieve simplified design, powerful performance and seamless upgrades.

More and more car manufacturers use NVIDIA DRIVE Orin for next-generation software-defined cars, and Xiaopeng Motors is one of them. At the NVIDIA GTC in early November, high-performance car manufacturer Lotus, autonomous driving solution provider QCraft, and electric vehicle startups Human Horizons and WM Motor announced that they are using the NVIDIA platform. These companies join the ranks of global automakers such as Mercedes-Benz and Volvo Cars, as well as other electric vehicle startups such as NIO.

The open DRIVE Hyperion 8 platform allows each customer to personalize NVIDIA DRIVE Orin according to their own needs, using end-to-end solutions to accelerate the development of autonomous driving.

Lotus is using DRIVE Orin to develop intelligent driving technology specifically designed for the track. With the help of DRIVE Orin's centralized calculation and redundant and diverse DNN, Lotus vehicles can be continuously improved to achieve the best driving performance of the next generation of racing cars.

Baidu is integrating DRIVE Orin into its third-generation autonomous driving platform, Apollo Computing Unit (third-tier). The integration of DRIVE Orin and Baidu's Sanxian platform will help improve driving performance and safety, while accelerating the mass production of autonomous driving systems and improving the overall user experience.

Electric vehicle manufacturer Human Horizons is developing its next-generation advanced driver assistance system on DRIVE Orin, using high-performance artificial intelligence computing to provide innovation and comfort to its vehicles. The system will debut on the new flagship product Digital-GT HiPhi Z.

Weimar Motors announced that its flagship M7 electric smart car will be equipped with four NVIDIA Orin SoCs, which can provide 1,016 TOPS of computing performance.

In the field of public transportation, Chinese startup QCraft will use NVIDIA DRIVE Orin as the next-generation hardware solution for its Driven-by-Qcraft autonomous driving platform. The intelligent system covers commercial transportation products ranging from robot buses to robot taxis, and is expected to be launched in 2023.

Kodiak Robotics' fourth-generation vehicles use lightweight maps and cautious modular hardware to achieve Level 4 autonomous driving capabilities. This lightweight mapping strategy uses the computational performance of DRIVE Orin to detect road objects, signs, etc.

Automated trucking company Plus also announced plans to transition to DRIVE Orin starting next year. Its autonomous driving system is called PlusDrive and can be retrofitted to existing trucks or added by the manufacturer as an upgrade option for new cars.

Published on November 22, 2021 in Artificial Intelligence, Autonomous Driving, Controls and Controllers, Market Background, Microprocessors and Controls | Permalink | Comments (0)

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