Structure from motion (SfM) processing for unmanned aerial vehicle (UAV)

US11086324B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11086324-B2
Application numberUS-201816201335-A
CountryUS
Kind codeB2
Filing dateNov 27, 2018
Priority dateJul 21, 2014
Publication dateAug 10, 2021
Grant dateAug 10, 2021

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  1. Title

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  2. Abstract

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  5. First independent claim

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Abstract

Official abstract text for this publication.

A method of imaging an area using an unmanned aerial vehicle (UAV) collects a plurality of images from a sensor mounted to the UAV. The plurality of images are processed to detect regions that require additional imaging and an updated flight plan and sensor gimbal position plan is created to capture portions of the area identified as requiring additional imaging.

First claim

Opening claim text (preview).

The invention claimed is: 1. A method of collecting images from an unmanned aerial vehicle (UAV), the method comprising: capturing images utilizing a camera positioned on a camera gimbal assembly associated with the UAV; receiving UAV positional information from a flight controller that indicates a current position of the UAV; receiving UAV orientation information from an inertial measurement unit (IMU) regarding current orientation of the UAV; receiving orientation information from the camera gimbal assembly located on the UAV regarding current gimbal assembly position and/or orientation of the camera gimbal assembly; calculating in real-time a 3D coordinate associated with captured images based on the received UAV positional information, the received UAV orientation information, and the received gimbal assembly position and/or orientation information, wherein the 3D coordinates associated with each captured image are utilized to detect overlap between captured images, wherein captured images that do not overlap with other captured images are discarded; and determining, in-flight, the sufficiency of captured image data. 2. The method of claim 1 , wherein the 3D coordinate is paired with the captured images at a time of capture and associated with the captured image data. 3. The method of claim 1 , wherein the received UAV positional information, the received UAV orientation information, and the received gimbal assembly position and/or orientation information is associated with the captured image data and communicated to a ground-based system, wherein the ground-based system calculates the 3D coordinate to be associated with captured imaged captured. 4. The method of claim 1 , wherein point-cloud reconstructions of scanned structures are created utilizing the captured image data, wherein density of points within a given region is utilized to determine sufficiency of captured image data. 5. The method of claim 1 , wherein overlapping captured images are organized into groups, wherein groups of captured images are processed separately. 6. The method of claim 5 , wherein point-cloud reconstruction of each group is utilized to determine the sufficiency of captured image data.

Assignees

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Classifications

  • with passive imaging devices, e.g. cameras · CPC title

  • using satellite radio beacon positioning systems, e.g. GPS · CPC title

  • for cartography or topography · CPC title

  • Rotors; Rotor supports · CPC title

  • with four distinct rotor axes, e.g. quadcopters · CPC title

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What does patent US11086324B2 cover?
A method of imaging an area using an unmanned aerial vehicle (UAV) collects a plurality of images from a sensor mounted to the UAV. The plurality of images are processed to detect regions that require additional imaging and an updated flight plan and sensor gimbal position plan is created to capture portions of the area identified as requiring additional imaging.
Who is the assignee on this patent?
Univ King Abdullah Sci & Tech
What technology area does this patent fall under?
Primary CPC classification G05D1/0094. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Aug 10 2021 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).