Multi-modal sensor data fusion for perception systems
US11422546B2 · kind B2 · utility
6Cited by
3References
18Claims
0Family size
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Key dates
| Filing date | Dec 18, 2015 |
| Grant date | Aug 23, 2022 |
| Priority date | — |
| Expiry date | Jan 17, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/56
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method includes fusing multi-modal sensor data from a plurality of sensors having different modalities. At least one region of interest is detected in the multi-modal sensor data. One or more patches of interest are detected in the multi-modal sensor data based on detecting the at least one region of interest. A model that uses a deep convolutional neural network is applied to the one or more patches of interest. Post-processing of a result of applying the model is performed to produce a post-processing result for the one or more patches of interest. A perception indication of the post-processing result is output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.