System and method for feature extraction from real-time vehicle kinetics data for remote tire wear modeling
US12151516B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 27, 2021 |
| Grant date | Nov 26, 2024 |
| Priority date | — |
| Expiry date | Feb 15, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L2012/40273
- WIPO fieldTransport
- WIPO sectorMechanical engineering
Abstract
A system and method are provided for efficiently estimating vehicle tire wear. Vehicle kinetics (first) data are provided via one or more sensors associated with the vehicle and/or at least one associated tire. The vehicle kinetics data are locally processed to compress or otherwise generate second data as a reduced subset thereof, said second data representative of the first data and comprising any one or more predetermined wear-specific features extracted therefrom. The second data are selectively transmitted via a communications network to a remote computing system, which processes the second data to estimate a wear characteristic for the at least one tire. Alternatively, the second data processed to generate third data as a reconstruction of the first data, and the third data and the any one or more extracted features are processed to estimate a wear characteristic for the at least one tire.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.