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. 05, 2023

Filed:

Jan. 13, 2021
Applicant:

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

Inventors:

Meena Nagappan, Richardson, TX (US);

Hyukseong Kwon, Thousand Oaks, CA (US);

Joshua Lampkins, Gardena, CA (US);

Rajan Bhattacharyya, Thousand Oaks, CA (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01C 21/00 (2006.01); G05D 1/02 (2020.01); B60W 10/04 (2006.01); B60W 10/10 (2012.01); B60W 10/18 (2012.01); B60W 10/20 (2006.01);
U.S. Cl.
CPC ...
G01C 21/3819 (2020.08); B60W 10/04 (2013.01); B60W 10/10 (2013.01); B60W 10/18 (2013.01); B60W 10/20 (2013.01); G01C 21/3833 (2020.08); B60W 2552/05 (2020.02); B60W 2552/30 (2020.02); B60W 2552/53 (2020.02); B60W 2556/40 (2020.02); B60W 2556/45 (2020.02); B60W 2710/1005 (2013.01); B60W 2710/18 (2013.01); B60W 2710/20 (2013.01); B60W 2720/106 (2013.01); B60W 2720/125 (2013.01); G05D 1/0212 (2013.01);
Abstract

A method for updating a localization of an autonomous vehicle includes receiving perception input data from a sensor of the autonomous vehicle and receiving map data including road lane information in a vicinity of the autonomous vehicle. The method includes processing the perception input data to extract perceived road lane information including a perceived x position, a perceived y position, a perceived z position, a perceived lane type, a perceived lane color, and a perceived lane curvature and processing the map data to extract map road lane information including a map x position, a map y position, a map z position, a map lane type, a map lane color, and a map lane curvature. The method includes calculating a transformation matrix from the perceived road lane information and the map road lane information and updating the map data and a localization of the vehicle based on the transformation matrix.


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