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:
Nov. 01, 2022

Filed:

Dec. 08, 2020
Applicant:

GM Global Technology Operations Llc, Detroit, MI (US);

Inventors:

Michael D. Howard, Westlake Village, CA (US);

Hyukseong Kwon, Thousand Oaks, CA (US);

Rajan Bhattacharyya, Sherman Oaks, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); B60W 50/00 (2006.01); B60W 30/095 (2012.01); B60W 40/06 (2012.01); G01C 21/34 (2006.01); B60W 40/09 (2012.01); G01C 21/36 (2006.01); G06N 5/02 (2006.01);
U.S. Cl.
CPC ...
B60W 60/0027 (2020.02); B60W 30/0956 (2013.01); B60W 40/06 (2013.01); B60W 40/09 (2013.01); B60W 50/0097 (2013.01); G01C 21/3461 (2013.01); G01C 21/3691 (2013.01); G06N 5/02 (2013.01); B60W 2420/40 (2013.01); B60W 2420/52 (2013.01); B60W 2420/54 (2013.01); B60W 2540/22 (2013.01); B60W 2540/30 (2013.01); B60W 2552/05 (2020.02); B60W 2554/4042 (2020.02); B60W 2554/4044 (2020.02); B60W 2554/80 (2020.02); B60W 2555/20 (2020.02);
Abstract

A method of predictive navigation control for an ego vehicle includes: comparing a cue node to each of a plurality of episodic memory nodes in an episodic memory structure, wherein the cue node represents a new event representing distances, speeds and headings of one or more newly observed objects about the ego vehicle, and wherein the episodic memory structure includes a network of nodes each representing a respective previously existing event and having a respective node risk and likelihood; determining which of the nodes has a smallest respective difference metric, thus defining a best matching node; consolidating the cue node with the best matching node if the smallest difference metric is less than a match tolerance, else adding a new node corresponding to the cue node to the episodic memory structure; and identifying a likeliest next node and/or a riskiest next node.


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