公开(公告)号：US11644834B2

公开(公告)日：2023-05-09

申请号：US16186473

申请日：2018-11-09

Applicant: NVIDIA Corporation

Inventor： Michael Alan Ditty ,  Gary Hicok ,  Jonathan Sweedler ,  Clement Farabet ,  Mohammed Abdulla Yousuf ,  Tai-Yuen Chan ,  Ram Ganapathi ,  Ashok Srinivasan ,  Michael Rod Truog ,  Karl Greb ,  John George Mathieson ,  David Nister ,  Kevin Flory ,  Daniel Perrin ,  Dan Hettena

IPC: G05D1/02 ,  G06V20/58 ,  G06V20/56 ,  G05D1/00 ,  G06F15/78 ,  G06N3/063 ,  G06N3/04

CPC classification number: G05D1/0088 ,  G05D1/0248 ,  G05D1/0274 ,  G06F15/7807 ,  G06N3/063 ,  G06V20/58 ,  G06V20/588 ,  G05D2201/0213 ,  G06N3/0454

Abstract: 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 AI 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.