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. 24, 2026

Filed:

Sep. 09, 2022
Applicant:

Nec Laboratories America, Inc., Princeton, NJ (US);

Inventors:

Sparsh Garg, San Jose, CA (US);

Samuel Schulter, New York, NY (US);

Vijay Kumar Baikampady Gopalkrishna, Santa Clara, CA (US);

Assignee:

NEC Corporation, Tokyo, JP;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/774 (2022.01); G06T 7/00 (2017.01); G06V 10/82 (2022.01); G06V 20/56 (2022.01); G06V 20/58 (2022.01); G06V 20/70 (2022.01);
U.S. Cl.
CPC ...
G06V 10/774 (2022.01); G06T 7/0002 (2013.01); G06V 10/82 (2022.01); G06V 20/58 (2022.01); G06V 20/588 (2022.01); G06V 20/70 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30256 (2013.01); G06T 2207/30261 (2013.01);
Abstract

Systems and methods is provided for road hazard analysis. The method includes obtaining sensor data of a road environment including a road and observable surroundings, and applying labels to the sensor data. The method further includes training a first neural network model to identify road hazards, training a second neural network model to identify faded lane markings, and training a third neural network model to identify overhanging trees and blocking foliage. The method further includes implementing the trained neural network models to detect road hazards in a real road setting.


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