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. 15, 2026

Filed:

Dec. 19, 2025
Applicant:

Geotab Inc., Oakville, CA;

Inventors:

Jorge González Núñez, Madrid, ES;

Álvaro Alcalde Cid, Madrid, ES;

Daniel Pérez Rubio, Azuqueca de Henares, ES;

Mohammed Sohail Siddique, Milton, CA;

Assignee:

Geotab Inc., Oakville, CA;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/00 (2022.01); G01C 21/00 (2006.01); G06V 10/70 (2022.01); G06V 20/56 (2022.01); G06V 20/58 (2022.01); G06V 20/62 (2022.01); G06V 30/10 (2022.01);
U.S. Cl.
CPC ...
G06V 20/582 (2022.01); G01C 21/3815 (2020.08); G01C 21/3841 (2020.08); G06V 10/70 (2022.01); G06V 20/588 (2022.01); G06V 20/63 (2022.01); G06V 30/10 (2022.01);
Abstract

A method and system are provided for enhancing map data of a road network by automatically generating a dataset of traffic signs. The method includes receiving telematics data from a plurality of vehicles and receiving map data comprising a plurality of road edges. A point of interest associated with at least one road edge is determined based on a vehicle movement metric derived from the telematics data, such as speed- or stop-related patterns. A sequence of one or more images associated with the point of interest is obtained from an image capture device mounted to a vehicle traversing the point of interest. At least one image from the sequence is analyzed using an image-processing machine learning model to detect a traffic sign, and the detected traffic sign is used to enhance the map data. The approach focuses image analysis on selected portions of the road network and reduces data processing by limiting analysis to relevant images, thereby enabling efficient generation of a reliable, updated dataset of traffic signs.


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