Fusion of multi-sensor information with operator-learned behavior for automatic and efficient recognition of objects and control of remote vehicles
US8780195B1 · kind B1 · utility
22Cited by
2References
1Claims
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Key dates
| Filing date | Aug 31, 2011 |
| Grant date | Jul 15, 2014 |
| Priority date | — |
| Expiry date | Dec 28, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/18
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are described for remotely controlled vehicles that hierarchically transform sensor-detected information into levels of increasing fidelity for highly efficient machine recognition of attributes and features of detected objects/events. Fusion of the feature space representations of the various levels allows correlation with the operator's attention to the respective objects for automated processing/controlling of the unmanned vehicle. High efficiencies in object/event recognition are attained with reduced memory and processor requirements, enabling near autonomous or fully autonomous operation of the vehicle.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.