Multi-sensor precipitation-classification apparatus and method
US10427645B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 6, 2016 |
| Grant date | Oct 1, 2019 |
| Priority date | — |
| Expiry date | Feb 4, 2037 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2756/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A vehicle is disclosed that uses data from different types of on-board sensors to determine whether meteorological precipitation is failing near the vehicle. The vehicle may include an on-board camera capturing image data and an on-board accelerometer capturing accelerometer data. The image data may characterize an area in front of or behind the vehicle. The accelerometer data may characterize vibrations of a windshield of the vehicle. An artificial neural network may run on computer hardware carried on-board the vehicle. The artificial neural network may be trained to classify meteorological precipitation in an environment of the vehicle using the image data and the accelerometer data as inputs. The classifications of the artificial neural network may be used to control one or more functions of the vehicle such as windshield-wiper speed, traction-control settings, or the like.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.