IP Library Granted Patent US 10,338,610
Granted Patent B2
US 10,338,610 · App. 15/721,164 · Granted Jul 2, 2019

Aerial display visualization

Inventor: Tobias Gurdan (Germering, DE)
Assignee: Intel IP Corporation
G05D1/104B64C39/024B64D47/06G09F21/06B64C2201/12G08G5/0052G08G5/0069
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Quick Facts
Patent No.
US 10,338,610
App. No.
15/721,164
Granted
Jul 2, 2019
Kind
B2
Abstract

Disclosed herein are systems and methods for distributing a plurality of drones to form an aerial image. The systems and methods may include: receiving, at a computing device comprising a processor, location data and drone data; distributing, by the computing device, a plurality of drones based on the aspects of an aerial image such that, during flight, the plurality of drones form the aerial image; and exporting, by the computing device, coordinates for each of the plurality of drones. The location data may define aspects of the aerial image to be formed by the plurality of drones. The drone data may include a number of drones within the plurality of drones. The coordinate for each of the plurality of drones may define a location for a respective drone within the aerial image.

Claims (40)

1. A method for distributing a plurality of drones to form an aerial image, the method comprising:

receiving, at a computing device comprising a processor, location data and drone data, the location data defining aspects of an aerial image to be formed by a plurality of drones, the drone data include a number of drones within the plurality of drones;

distributing, by the computing device, the plurality of drones based on the aspects of the aerial image such that, during flight, the plurality of drones form the aerial image; and

exporting, by the computing device, coordinates for each of the plurality of drones, the coordinate for each of the plurality of drones defining a location for a respective drone within the aerial image.

2. The method of claim 1 , wherein the aspects of the aerial image include a line segment.

3. The method of claim 2 , wherein distributing the plurality of drones includes distributing the plurality of drones proximate the line segment.

4. The method of claim 1 , wherein the aspects of the aerial image include a surface.

5. The method of claim 4 , wherein distributing the plurality of drones includes distributing the plurality of drones within edges defining the surface.

6. The method of claim 4 , wherein distributing the plurality of drones includes distributing the plurality of drones proximate edges defining the surface.

7. The method of claim 1 , wherein the aspects of the aerial image include a volume.

8. The method of claim 7 , wherein distributing the plurality of drones includes distributing a majority of the plurality of drones proximate corners or edges of the volume.

9. The method of claim 1 , wherein the aspects of the aerial image include shading.

10. The method of claim 1 , wherein distributing the plurality of drones includes distributing a subset of the plurality of drones.

11. The method of claim 1 , wherein distributing the plurality of drones includes:

distributing a first subset of the plurality of drones, the first subset of the plurality of drones having a first color; and

distributing a second subset of the plurality of drones, the second subset of drones having a second color.

12. A system for distributing a plurality of drones to form an aerial image, the system comprising:

a processor; and

a memory storing instructions that, when executed by the processor, cause the processor to:

receive location data and drone data, the location data defining aspects of an aerial image to be formed by a plurality of drones, the drone data include a number of drones within the plurality of drones;

distribute the plurality of drones based on the aspects of the aerial image such that, during flight, the plurality of drones form the aerial image; and

export coordinates for each of the plurality of drones, the coordinate for each of the plurality of drones defining a location for a respective drone within the aerial image.

13. The system of claim 12 , wherein the aspects of the aerial image include a line segment.

14. The system of claim 13 , wherein distributing the plurality of drones includes instructions that, when executed by the processor, cause the processor to distribute the plurality of drones proximate the line segment.

15. The system of claim 12 , wherein the aspects of the aerial image include a surface.

16. The system of claim 15 , wherein distributing the plurality of drones includes instructions that, when executed by the processor, cause the processor to distribute the plurality of drones within edges defining the surface.

17. The system of claim 15 , wherein distributing the plurality of drones includes instructions that, when executed by the processor, cause the processor to distribute the plurality of drones proximate edges defining the surface.

18. At least one non-transitory computer-readable medium storing instructions that, when executed by a processor, cause the processor to:

receive location data and drone data, the location data defining aspects of an aerial image to be formed by a plurality of drones, the drone data include a number of drones within the plurality of drones;

distribute the plurality of drones based on the aspects of the aerial image such that, during flight, the plurality of drones form the aerial image; and

export coordinates for each of the plurality of drones, the coordinate for each of the plurality of drones defining a location for a respective drone within the aerial image.

19. The at least one non-transitory computer-readable medium of claim 18 , wherein the aspects of the aerial image include a line segment.

20. The at least one non-transitory computer-readable medium of claim 19 , wherein distributing the plurality of drones includes instructions that, when executed by the processor, cause the processor to distribute the plurality of drones proximate the line segment.

21. The at least one non-transitory computer-readable medium of claim 18 , wherein the aspects of the aerial image include a volume.

22. The at least one non-transitory computer-readable medium of claim 21 , wherein distributing the plurality of drones includes instructions that, when executed by the processor, cause the processor to distribute a majority of the plurality of drones proximate corners or edges of the volume.

23. The at least one non-transitory computer-readable medium of claim 18 , wherein the aspects of the aerial image include shading.

24. The at least one non-transitory computer-readable medium of claim 18 , wherein distributing the plurality of drones includes instructions that, when executed by the processor, cause the processor to distribute a subset of the plurality of drones.

25. The at least one non-transitory computer-readable medium of claim 18 , wherein distributing the plurality of drones includes instructions that, when executed by the processor, cause the processor to:

distribute a first subset of the plurality of drones, the first subset of the plurality of drones having a first color; and

distribute a second subset of the plurality of drones, the second subset of drones having a second color.

Assignments (5)
CONFIRMATORY ASSIGNMENT Recorded Jan 12, 2026
From: NOVA SKY STORIES, LLC
To: NOVA SKY STORIES, INC.
Reel/Frame 074329/0781 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 26, 2022
From: INTEL CORPORATION
To: NOVA SKY STORIES, LLC
Reel/Frame 061214/0328 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 11, 2022
From: GURDAN, DANIEL
To: INTEL IP CORPORATION
Reel/Frame 059557/0821 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 22, 2021
From: INTEL IP CORPORATION
To: INTEL CORPORATION
Reel/Frame 056337/0609 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 20, 2018
From: GURDAN, TOBIAS
To: INTEL IP CORPORATION
Reel/Frame 045288/0696 →
Continuity (2)
Provisional Application 62421371 · Nov 13, 2016
Related Publication 20180136670A1 · May 17, 2018
Cited By (1)
US 12,612,195