Computer vision based wide-area snow/water level estimation using disparity map
US12430780B2 · kind B2 · utility
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Key dates
| Filing date | May 17, 2023 |
| Grant date | Sep 30, 2025 |
| Priority date | — |
| Expiry date | Apr 8, 2044 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N2013/0081
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Computer vision based, wide-area snow/water level estimation methods using disparity maps. In one embodiment our method provides rich depth-information using a stereo camera and image processing. Scene images at normal and snow/rain weather conditions are obtained by a double-lens stereo camera and a disparity map is generated from the scene images at left and right lenses using a self-supervised deep convolutional network. In another embodiment, our method uses a single point snow/water level sensor, a stationary monocular camera to measure snow/water levels covering a wide area.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.