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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.

Patent No.:

US 11829959 B1

PDFFull Text
Date of Patent:
Nov. 28, 2023

Filed:

Nov. 18, 2022

System and methods for fully autonomous potholes detection and road repair determination

Applicant:

Prince Mohammad Bin Fahd University, Dhahran, SA;

Inventors:

Ghazanfar Latif, Dhahran, SA;

Abul Bashar, Dhahran, SA;

Ghassen Ben Brahim, Dhahran, SA;

Salahudean Basem Tohmeh, Dhahran, SA;

Assignee:

Prince Mohammad Bin Fahd University, Dhahran, SA;

Attorney:

Oblon, McClelland, Maier & Neustadt, L.L.P.

Primary Examiner:

Delomia L Gilliard

Int. Cl.
CPC ...
G06Q 10/20 (2023.01); G06V 20/10 (2022.01); G06V 20/17 (2022.01); G06V 20/40 (2022.01); G06V 10/82 (2022.01); G05D 1/10 (2006.01); G06F 16/29 (2019.01); G06N 5/01 (2023.01); B64C 39/02 (2023.01); G06T 7/00 (2017.01); G06V 20/58 (2022.01); B64U 101/30 (2023.01); B64U 101/26 (2023.01);
U.S. Cl.
CPC ...
G06Q 10/20 (2013.01); B64C 39/024 (2013.01); G05D 1/104 (2013.01); G06F 16/29 (2019.01); G06N 5/01 (2023.01); G06T 7/0008 (2013.01); G06V 10/82 (2022.01); G06V 20/17 (2022.01); G06V 20/182 (2022.01); G06V 20/46 (2022.01); G06V 20/58 (2022.01); B64U 2101/26 (2023.01); B64U 2101/30 (2023.01); G06T 2207/10016 (2013.01); G06T 2207/10032 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30184 (2013.01);
Abstract

A pothole monitoring and repair system for a road surface includes at least one UAV which includes a video camera, a video processor, a computing unit and a global positioning receiver. The UAV generates video streams of road surfaces using the video camera which are processed by the video processor to extract road frames. The computing unit generates a geo-fenced area of the road surface, and determines whether there is at least one pothole in each of the road frames within the geo-fenced area. The cloud server generates a map of the geo-fenced area, labels location coordinates of each pothole on the map, identifies and labels geographical features in the road frames within the geo-fenced area, extracts pothole features in the road frames, and uses a classifier to predict repair actions based on pothole features and geographical features, which are presented on a front end interface.

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