System and method for utilizing aggregated weather data for road surface condition and road friction estimates
US11781882B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 26, 2020 |
| Grant date | Oct 10, 2023 |
| Priority date | — |
| Expiry date | Nov 20, 2041 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2556/50
- WIPO fieldTransport
- WIPO sectorMechanical engineering
Abstract
A system and method for utilizing aggregated weather data (AWD) for deriving road surface condition (RSC) estimates. This system and method supplements road friction estimates (RFEs) made at the vehicle level with AWD in the cloud to form the RSC estimates, which are then transmitted to the vehicles such that more accurate RFEs can be made locally, and so on. Conventional RFE physics-based models are replaced with enhanced RFE trained machine learning (ML) models accordingly. Global RSC estimates are derived for each geographical region using weather and location constraints. Thus, improved autonomous driving and driver assist functions may be implemented, better driver warnings may be provided, and safer road trips may be planned in advance based on a thorough analysis of the drivable conditions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.