公开(公告)号：US12189558B2

公开(公告)日：2025-01-07

申请号：US17812985

申请日：2022-07-15

Applicant: NVIDIA CORPORATION

Inventor： Padmanabham Patki ,  Nisha Bhushan ,  Kiran Kumar Dash ,  Arpit Gupta ,  Chung-Hong Lai ,  Michael Alan Ditty

IPC: G06F13/38

Abstract: In various examples, methods may include receiving first data transmitted from a second component and second data transmitted from the second component during a first time period. The first data may be transmitted via a first data lane and the second data may be transmitted via a second data lane. The method may include receiving de-skew symbols at an interval from the second component via the first data lane and via the second data lane during the first time period. The method may include compensating for a first skew introduced to a first propagation of the first data across the first data lane and a second skew introduced to a second propagation of the second data across the second data lane using the de-skew symbols received during the first time period.

公开(公告)号：US20240020255A1

公开(公告)日：2024-01-18

申请号：US17812985

申请日：2022-07-15

Applicant: NVIDIA CORPORATION

Inventor： Padmanabham Patki ,  Nisha Bhushan ,  Kiran Kumar Dash ,  Arpit Gupta ,  Chung-Hong Lai ,  Michael Alan Ditty

IPC: G06F13/38

CPC classification number: G06F13/38 ,  G06F2213/40

Abstract: In various examples, methods may include receiving first data transmitted from a second component and second data transmitted from the second component during a first time period. The first data may be transmitted via a first data lane and the second data may be transmitted via a second data lane. The method may include receiving de-skew symbols at an interval from the second component via the first data lane and via the second data lane during the first time period. The method may include compensating for a first skew introduced to a first propagation of the first data across the first data lane and a second skew introduced to a second propagation of the second data across the second data lane using the de-skew symbols received during the first time period.

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.