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The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 11874663 B1

PDFFull Text
Date of Patent:
Jan. 16, 2024

Filed:

Aug. 26, 2022

Systems and methods for computer-assisted shuttles, buses, robo-taxis, ride-sharing and on-demand vehicles with situational awareness

Applicant:

Nvidia Corporation, Santa Clara, CA (US);

Inventors:

Gary Hicok, Mesa, AZ (US);

Michael Cox, Menlo Park, CA (US);

Miguel Sainz, Palo Alto, CA (US);

Martin Hempel, Mountain View, CA (US);

Ratin Kumar, Cupertino, CA (US);

Timo Roman, Uusimaa, FI;

Gordon Grigor, San Francisco, CA (US);

David Nister, Bellevue, WA (US);

Justin Ebert, Boulder, CO (US);

Chin-Hsien Shih, Saratoga, CA (US);

Tony Tam, Redwood City, CA (US);

Ruchi Bhargava, Redmond, WA (US);

Assignee:

NVIDIA Corporation, Santa Clara, CA (US);

Attorney:

Nixon & Vanderhye PC

Primary Examiner:

Donald J Wallace

Assistant Examiner:

Daniel M Robert

Int. Cl.
CPC ...
G05D 1/00 (2006.01); G06Q 50/30 (2012.01); G05B 13/02 (2006.01); G05D 1/02 (2020.01); G06Q 10/02 (2012.01);
U.S. Cl.
CPC ...
G05D 1/0088 (2013.01); G05B 13/027 (2013.01); G05D 1/0055 (2013.01); G05D 1/0242 (2013.01); G05D 1/0246 (2013.01); G05D 1/0257 (2013.01); G06Q 10/02 (2013.01); G06Q 50/30 (2013.01); G05D 2201/0213 (2013.01);
Abstract

A system and method for an on-demand shuttle, bus, or taxi service able to operate on private and public roads provides situational awareness and confidence displays. The shuttle may include ISO 26262 Level 4 or Level 5 functionality and can vary the route dynamically on-demand, and/or follow a predefined route or virtual rail. The shuttle is able to stop at any predetermined station along the route. The system allows passengers to request rides and interact with the system via a variety of interfaces, including without limitation a mobile device, desktop computer, or kiosks. Each shuttle preferably includes an in-vehicle controller, which preferably is an AI Supercomputer designed and optimized for autonomous vehicle functionality, with computer vision, deep learning, and real time ray tracing accelerators. An AI Dispatcher performs AI simulations to optimize system performance according to operator-specified system parameters.

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