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.

Date of Patent:
Sep. 01, 2020

Filed:

Jul. 07, 2017
Applicant:

Toyota Research Institute, Inc., Los Altos, CA (US);

Inventors:

Nikolaos Michalakis, Saratoga, CA (US);

Julian M. Mason, Redwood City, CA (US);

James J. Kuffner, Jr., Sunnyvale, CA (US);

James M. Adler, Redwood City, CA (US);

Assignee:

Toyota Research Institute, Inc., Los Altos, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
B60R 22/00 (2006.01); E05F 15/00 (2015.01); G05D 1/00 (2006.01); G05D 3/00 (2006.01); G06F 7/00 (2006.01); G06F 17/00 (2019.01); B60W 50/06 (2006.01); G06F 9/50 (2006.01); G06F 11/30 (2006.01); H04L 29/08 (2006.01); G06F 11/34 (2006.01); B60W 50/00 (2006.01);
U.S. Cl.
CPC ...
B60W 50/06 (2013.01); G06F 9/505 (2013.01); G06F 9/5044 (2013.01); G06F 11/3013 (2013.01); G06F 11/3051 (2013.01); G06F 11/3433 (2013.01); H04L 67/12 (2013.01); B60W 2050/0013 (2013.01); B60W 2050/0077 (2013.01); G06F 2209/509 (2013.01);
Abstract

This disclosure describes various embodiments for resource optimization in a vehicle. In an embodiment, a system for resource optimization in a vehicle is described. The system may comprise a memory; a processor coupled to the memory; and a resource optimization module. The resource optimization module may be configured to: monitor usage of local computing resources of the vehicle, the local computing resources comprising the processor and available bandwidth of a transmission medium; determine an availability of the local computing resources; evaluate data captured by one or more sensors of the vehicle; and determine whether to process the data locally or remotely based, at least in part, on the availability of the local computing resources and the data captured by the one or more sensors.


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