Object tracking by an unmanned aerial vehicle using visual sensors
US11295458B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 30, 2017 |
| Grant date | Apr 5, 2022 |
| Priority date | — |
| Expiry date | Nov 30, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N2013/0092
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are disclosed for tracking objects in a physical environment using visual sensors onboard an autonomous unmanned aerial vehicle (UAV). In certain embodiments, images of the physical environment captured by the onboard visual sensors are processed to extract semantic information about detected objects. Processing of the captured images may involve applying machine learning techniques such as a deep convolutional neural network to extract semantic cues regarding objects detected in the images. The object tracking can be utilized, for example, to facilitate autonomous navigation by the UAV or to generate and display augmentative information regarding tracked objects to users.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.