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:
Mar. 30, 2021

Filed:

Apr. 02, 2019
Applicant:

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

Inventors:

Lawrence A. Bush, Shelby Township, MI (US);

Fan Bai, Ann Arbor, MI (US);

Pengfei Ren, Rochester Hills, MI (US);

Eric L. Raphael, Birmingham, MI (US);

Mohannad Murad, Troy, MI (US);

Mohammad Naserian, Windsor, CA;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01C 21/16 (2006.01); G01S 19/49 (2010.01); G01C 21/32 (2006.01); G06T 7/70 (2017.01); G01S 17/86 (2020.01); G01S 17/93 (2020.01); G01S 17/931 (2020.01);
U.S. Cl.
CPC ...
G01C 21/165 (2013.01); G01C 21/32 (2013.01); G01S 17/86 (2020.01); G01S 17/931 (2020.01); G01S 19/49 (2013.01); G06T 7/70 (2017.01); G06T 2207/30244 (2013.01); G06T 2207/30252 (2013.01);
Abstract

A method for vehicle tracking and localization includes receiving, by a controller, odometry data from a sensor of the first vehicle; geospatial data from a Global Positioning System (GPS) device of the first vehicle; inertial data from an inertial measurement unit (IMU) of the first vehicle; estimating an estimated-current location of the first vehicle and an estimated-current trajectory of the first vehicle using the odometry data from the sensor, the geospatial data from the GPS device, and the inertial data from the IMU of the first vehicle; inputting the inertial data into a Bayesian Network to determine a predicted location of the first vehicle and a predicted trajectory of the first vehicle, and updating the Bayesian Network using the estimated-current location and the estimated-current trajectory of the first vehicle using the odometry data and the geospatial data.


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