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NVidia Tegra for self-driving cars

29.08.2014

Nvidia has ready solutions in the development of processors that can improve driving safety. For example, the Nvidia Tegra K1 platform with a built-in 192-core GPU based on the Kepler architecture can process in real time a visual image formed on the basis of data recorded by built-in cameras, radars and laser scanners.

Similar systems, tested on Audi vehicles, help drivers park and move through traffic jams. In five years, these technologies will form the basis of unmanned vehicles, says Danny Shapiro, director of automotive development at Nvidia.

Now Tegra chips are widely used in multimedia systems, but the American company does not intend to stop only at entertainment functions and sees high prospects in the use of proprietary microcircuits in the field of ensuring safe driving.

According to the official Nvidia blog, more than 6 million machines in the world are equipped with the Tegra platform, and this number is growing rapidly. In particular, the chips can be found in the Audi lineup, Tesla Model S and BMW i3 and i8 electric vehicles, as well as the new Mini Cooper S and Rolls Royce Wraith.

As Danny Shapiro told KitGuru, the modern infotainment market is lagging behind the development of the processor industry due to long testing and preparation for mass production of automotive devices. An Nvidia spokesman says that due to the proprietary Visual Computing Module (VCM) modular platform, it was possible to reduce the hardware upgrade cycle of regular systems in Audi cars from five to six years to two. The VCM platform allows machines to be equipped with the most modern Tegra-based multimedia systems at the later stages of machine design.

Audi previously tested a robotic prototype of the A7 hatchback, capable of moving independently at speeds up to 64 km/h.
BMW and General Motors have previously announced their plans to launch the production of self-driving cars by 2020. In addition, similar developments are underway at Volvo, Cadillac, Toyota, Google and Continental.

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