Road surface condition identification based on statistical pattern recognition
US8306712B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 24, 2009 |
| Grant date | Nov 6, 2012 |
| Priority date | — |
| Expiry date | Sep 7, 2031 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W40/068
- WIPO fieldTransport
- WIPO sectorMechanical engineering
Abstract
A method is provided for determining an adhesive condition of a surface of a vehicle road using a statistical pattern recognition technique. A plurality of probability distribution functions is provided representing respective adhesive effects between the vehicle tire of a driven vehicle and the vehicle road. An index is calculated which represents a vehicle understeer characteristic. Probability analysis is applied for each of the road surface adhesive conditions as a function of the index. Each probability analysis is recursively updated. A likelihood factor is determined for each road surface adhesive condition as a function of each respective recursively updated probability analysis. Each respective road surface adhesive condition has a respective likelihood factor that identifies the likelihood of the road surface having the respective adhesive condition as a function of the index. The identified adhesive condition of the road surface is input into a vehicle control process.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.