Computer vision classifier defined path planning for unmanned aerial vehicles
US12293538B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 8, 2023 |
| Grant date | May 6, 2025 |
| Priority date | — |
| Expiry date | Oct 16, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30241
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems are described herein for enabling aerial vehicle navigation in GPS-denied areas. The system may use a camera to record images of terrain as the aerial vehicle is flying to a target location. The system may then detect (e.g., using a machine learning model) objects within those images and compare those objects with objects within an electronic map that was loaded onto the aerial vehicle. When the system finds one or more objects within the electronic map that match the objects detected within the recorded images, the system may retrieve locations (e.g., GPS coordinates) of the objects within the electronic map and calculate, based on the coordinates, the location of the aerial vehicle. Once the location of the aerial vehicle is determined, the system may navigate to a target location or otherwise adjust a flight path of the aerial vehicle.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.