Nvidia puts a lot of effort into autonomous driving

March 19, 2019 //By Christoph Hammerschmidt
Software simulates automated driving
On the occasion of its GPU Conference in San Jose (Calif), Nvidia presented a series of innovations that improve the road safety of autonomous vehicles. Together with Toyota, the graphics processor manufacturer and AI specialist wants to work on possibilities for the use of artificial intelligence for autonomous driving.

The development partnership with the Toyota Group is handled through the Toyota Research institute for Advanced Development (TRI-AD). Together, researchers from Nvidia and TRI-AD plan to develop self-driving cars, train them by means of AI and then validate them. The partnership builds on an ongoing relationship with Toyota to utilize Nvidia’s Drive AGX Xavier AV computer and is based on close development between teams from Nvidia, TRI-AD in Japan and Toyota Research Institute (TRI) in the US. The partnership spans multiple topics and assets, including the advancement of an AI computing infrastructure (of course based on Nvidia GPUs), autonomous driving simulations based on the Nvidia Drive Constellation platform introduced past year, and the further development of in-car real-time computing platforms for automated vehicles.

The agreement includes the development of an architecture that can be scaled across vehicle models and types, accelerating the development and production timeline, and simulating the equivalent of billions of miles of driving in challenging scenarios. In fact, such a computer is currently something like the holy grail of the automotive industry – as part of the digitization of the vehicle, carmakers and suppliers are putting great efforts in replacing the chaotically grown ECU-oriented electronics architecture of the vehicles through a rather centralized approach with only few computing units that run the functionality of former ECUs as software tasks.

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