Object modeling with adversarial learning
US11137761B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 20, 2017 |
| Grant date | Oct 5, 2021 |
| Priority date | — |
| Expiry date | Jun 30, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/13
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, computer-readable media, and devices are disclosed for improving an object model based upon measurements of physical properties of an object via an unmanned vehicle using adversarial examples. For example, a method may include a processing system capturing measurements of physical properties of an object via at least one unmanned vehicle, updating an object model for the object to include the measurements of the physical properties of the object, where the object model is associated with a feature space, and generating an example from the feature space, where the example comprises an adversarial example. The processing system may further apply the object model to the example to generate a prediction, capture additional measurements of the physical properties of the object via the at least one unmanned vehicle when the prediction fails to identify that the example is an adversarial example, and update the object model to include the additional measurements.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.