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:
Feb. 25, 2025

Filed:

Apr. 29, 2021
Applicant:

Lyft, Inc., San Francisco, CA (US);

Inventors:

Robert Earl Rasmusson, San Francisco, CA (US);

Taggart Matthiesen, Kentfield, CA (US);

Craig Dehner, San Francisco, CA (US);

Linda Dong, San Francisco, CA (US);

Frank Taehyun Yoo, San Carlos, CA (US);

Karina van Schaardenburg, San Francisco, CA (US);

John Tighe, San Francisco, CA (US);

Matt Vitelli, San Francisco, CA (US);

Jisi Guo, San Francisco, CA (US);

Eli Guerron, San Francisco, CA (US);

Assignee:

Lyft, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01C 21/26 (2006.01); B60W 60/00 (2020.01); B62D 15/02 (2006.01); G01C 21/36 (2006.01); G05D 1/00 (2006.01); G06F 18/24 (2023.01); G06T 7/20 (2017.01); G06V 20/56 (2022.01);
U.S. Cl.
CPC ...
G01C 21/3638 (2013.01); B60W 60/00253 (2020.02); B62D 15/0285 (2013.01); G01C 21/365 (2013.01); G05D 1/0044 (2013.01); G05D 1/0088 (2013.01); G05D 1/0212 (2013.01); G05D 1/0246 (2013.01); G05D 1/0274 (2013.01); G06F 18/24 (2023.01); G06T 7/20 (2013.01); G06V 20/56 (2022.01); B60W 2420/403 (2013.01); B60W 2420/408 (2024.01); B60W 2554/00 (2020.02); B60W 2555/20 (2020.02); B60W 2556/10 (2020.02); G06T 2207/30252 (2013.01); G06T 2207/30256 (2013.01); G06T 2207/30261 (2013.01);
Abstract

In one embodiment, a method includes receiving sensor data from a sensor array of a vehicle while traveling on a road. The method includes determining a confidence score for a classification of an object based on the sensor data. The method includes generating an object graphic corresponding to the object based on the confidence score for the classification of the object. The method includes retrieving, from one or more third-party systems, third-party data associated with an environment in proximity to the object and associated with the road based on the classification. The method includes generating an overlay graphic corresponding to the environment in proximity to the object based on the third-party data. The method includes providing for display the object graphic rendered in association with the overlay graphic corresponding to the environment.


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