Road surface conditions detection by distributed optic fiber system
US12345567B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 15, 2022 |
| Grant date | Jul 1, 2025 |
| Priority date | — |
| Expiry date | Aug 11, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A fiber optic sensing cable located along a side of a paved road and runs parallel to a driving direction is monitored by distributed fiber optic sensing (DFOS) using Rayleigh backscattering generated along the length of the optical sensor fiber cable under dynamic vehicle loads. The interaction of vehicles with roadway locations exhibiting distressed pavement generates unique patterns of localized signals that are identified/distinguished from signals resulting from vehicles operating on roadway exhibiting a smooth pavement surface. Machine learning methods are employed to estimate an overall road surface quality as well as localizing pavement damage. Power spectral density estimation, principal component analysis, support vector machine (SVM) combined with principal component analysis (PCA), local binary pattern (LBP), and convolutional neural network (CNN) are applied to develop the machine learning models.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.