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:
Jan. 20, 2026

Filed:

Jul. 11, 2024
Applicant:

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

Inventors:

Ashley John Cooper, San Francisco, CA (US);

Alison Marie Thurber, San Francisco, CA (US);

Eahab Nagi El Naga, San Francisco, CA (US);

Christy Fernandez Cull, Sunnyvale, CA (US);

Abdullah Ahsan Zaidi, San Diego, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B60W 50/14 (2020.01); B60W 40/06 (2012.01); G01S 13/86 (2006.01); G01S 13/89 (2006.01);
U.S. Cl.
CPC ...
B60W 50/14 (2013.01); B60W 40/06 (2013.01); G01S 13/86 (2013.01); G01S 13/89 (2013.01); B60W 2050/146 (2013.01); B60W 2420/403 (2013.01); B60W 2420/408 (2024.01); B60W 2420/54 (2013.01);
Abstract

In one embodiment, a method includes a computing system obtaining, via one or more sensors of a personal mobile vehicle (PMV), a reflection signal indicating a characteristic of a road surface of an environment external to the PMV. The computing system may determine one or more characteristic factors of the road surface of the environment external to the PMV based on the reflection signal. The computing system may generate a vulnerable road user (VRU) classification probability distribution by using a machine learning classifier. The VRU classification probability distribution indicates whether a combination of the one or more characteristic factors is associated with the VRU. The computing system may determine, based on the VRU classification probability distribution, that the road surface is associated with the VRU. The computing system may present an alert message to a display associated with the PMV.


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