SYSTEMS AND METHODS FOR SAFE AND RELIABLE AUTONOMOUS VEHICLES

WIPO Patent Application WO/2019/094843

A4

Autonomous driving is one of the world's most challenging computational problems. Very large amounts of data from cameras, RADARs, LIDARs, and HD-Maps must be processed to generate commands to control the car safely and comfortably in real-time. This challenging task requires a dedicated supercomputer that is energy-efficient and low-power, complex high-performance software, and breakthroughs in deep learning Al algorithms. To meet this task, the present technology provides advanced systems and methods that facilitate autonomous driving functionality, including a platform for autonomous driving Levels 3, 4, and/or 5. In preferred embodiments, the technology provides an end-to-end platform with a flexible architecture, including an architecture for autonomous vehicles that leverages computer vision and known ADAS techniques, providing diversity and redundancy, and meeting functional safety standards. The technology provides for a faster, more reliable, safer, energy-efficient and space- efficient System-on-a-Chip, which may be integrated into a flexible, expandable platform that enables a wide-range of autonomous vehicles, including cars, taxis, trucks, and buses, as well as watercraft and aircraft.

DITTY MIKE (US)
HICOK GARY (US)
SWEEDLER JONATHAN (US)
FARABET CLEMENT (US)
YOUSUF MOHAMMED (US)
CHAN T Y (US)
GANAPATHI RAM (US)
SRINIVASAN ASHOK (US)
TRUOG MIKE (US)
GREB KARL (US)
MATHIESON JOHN (US)
NISTER DAVID (US)
FLORY KEVIN (US)
PERRIN DANIEL (US)
HETTENA DAN (US)

PCT/US2018/060205

July 18, 2019

November 09, 2018

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NVIDIA CORP (US)

G05D1/02; B60W30/00; G05D1/00; G06F15/16; G06N3/00; G06N3/04

FARIS, Robert, W. (US)

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