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. 23, 2025

Filed:

Feb. 03, 2023
Applicant:

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

Inventors:

Brent Navin Roger Bacchus, Sterling Heights, MI (US);

Tarek Abdel Raouf Abdel Rahman, Madison Heights, MI (US);

Ryan Jay Yergin, Novi, MI (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B60W 40/10 (2012.01); B60W 60/00 (2020.01); G01C 21/00 (2006.01);
U.S. Cl.
CPC ...
G01C 21/3859 (2020.08); B60W 40/10 (2013.01); B60W 60/001 (2020.02); G01C 21/3819 (2020.08); B60W 2520/00 (2013.01); B60W 2552/00 (2020.02);
Abstract

A perception and map edge association system for an autonomous vehicle includes one or more controllers executing instructions to receive a plurality of perception lane edge candidates that are each representative of a perception lane edge and a plurality of map lane edge candidates that are each representative of a map lane edge. The one or more controllers identify a discrepancy between a selected perception lane edge candidate and a best fit map edge candidate for a lane characteristic based on a posterior association probability matrix and a discrepancy flag. The one or more controllers segment the pair of inconsistent perception and map lane edges into one or more matching segments. The one or more matching segments indicate where the perception lane edge and the map lane edge match one another based on the lane characteristics. The perception and map edge association system improves localization and scene creation performance.


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