Vision-based rain detection using deep learning
US10049284B2 · kind B2 · utility
4Cited by
7References
19Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Apr 11, 2016 |
| Grant date | Aug 14, 2018 |
| Priority date | — |
| Expiry date | Aug 10, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/19173
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method is disclosed for using a camera on-board a vehicle to determine whether precipitation is failing near the vehicle. The method may include obtaining multiple images. Each of the multiple images may be known to photographically depict a “rain” or a “no rain” condition. An artificial neural network may be trained on the multiple images. Later, the artificial neural network may analyze one or more images captured by a first camera secured to a first vehicle. Based on that analysis, the artificial neural network may classify the first vehicle as being in “rain” or “no rain” weather.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.