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:
Nov. 08, 2022

Filed:

Jul. 31, 2020
Applicant:

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

Inventors:

Qingrong Zhao, Madison Heights, MI (US);

Bakhtiar B. Litkouhi, Washington, MI (US);

Mohsen Khalili, Sterling Heights, MI (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 40/06 (2012.01); B60W 30/18 (2012.01); B60W 60/00 (2020.01); B60W 40/105 (2012.01); B60R 19/48 (2006.01); G06K 9/62 (2022.01); G06N 3/08 (2006.01); G06V 10/40 (2022.01); G06V 20/56 (2022.01);
U.S. Cl.
CPC ...
B60W 60/001 (2020.02); B60R 19/48 (2013.01); B60W 30/18 (2013.01); B60W 40/06 (2013.01); B60W 40/105 (2013.01); G06K 9/6267 (2013.01); G06N 3/08 (2013.01); G06V 10/40 (2022.01); G06V 20/56 (2022.01); B60W 2420/52 (2013.01); B60W 2552/00 (2020.02); B60W 2555/20 (2020.02);
Abstract

Methods and systems are provided for controlling a vehicle action based on a condition of a road on which a vehicle is travelling, including: obtaining first sensor data as to a surface of the road from one or more first sensors onboard the vehicle; obtaining second sensor data from one or more second sensors onboard the vehicle as to a measured parameter pertaining to operation of the vehicle or conditions pertaining thereto; generating a plurality of road surface channel images from the first sensor data, wherein each road surface channel image captures one of a plurality of facets of properties of the first sensor data; classifying, via a processor using a neural network model, the condition of the road on which the vehicle is travelling, based on the measured parameter and the plurality of road surface channel images; and controlling a vehicle action based on the classification of the condition of the road.


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