IP Library Granted Patent US 10,713,961
Granted Patent B2
US 10,713,961 · App. 15/292,782 · Granted Jul 14, 2020

Managing dynamic obstructions in air traffic control systems for unmanned aerial vehicles

Inventor: Lee Priest (Charlotte, NC)
Assignee: ETAK Systems, LLC
G08G5/045B64C39/024G01S13/867G01S13/933G05D1/101G06K9/0063G08G5/0013G08G5/0021G08G5/0039G08G5/0069G08G5/0078B64C2201/141
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Quick Facts
Patent No.
US 10,713,961
App. No.
15/292,782
Granted
Jul 14, 2020
Kind
B2
Abstract

An Unmanned Aerial Vehicle (UAV) includes flight components attached or disposed to a base; one or more cameras; radar; one or more wireless interfaces; a processing device communicatively coupled to the flight components, the one or more cameras, the radar, and the wireless interfaces; and memory storing instructions that, when executed, cause the processing device to monitor proximate airspace with one or more of the one or more cameras and the radar; detect an obstruction based on the monitor; identify characteristics of the obstruction; alter a flight plan, through the flight components, if required based on the characteristics; and communicate the obstruction to an air traffic control system via the one or more wireless interfaces.

Claims (53)

1. An Unmanned Aerial Vehicle (UAV), comprising:

a base;

flight components attached to or disposed on the base;

one or more cameras;

radar;

one or more wireless interfaces;

a processing device communicatively coupled to the flight components, the one or more cameras, the radar, and the wireless interfaces; and

memory storing instructions that, when executed, cause the processing device to

receive advanced notifications from an air traffic control system via the one or more wireless interfaces, the advanced notifications related to previously detected obstructions in a flight path associated with a flight plan of the UAV, wherein the previously detected obstructions include objects at or near ground level;

monitor proximate airspace with at least one of the one or more cameras and radar;

detect an obstruction based on monitoring the proximate airspace with at least one of the one or more cameras and radar, wherein the detected obstruction includes one or more objects at or near ground level in the flight path;

identify characteristics of the detected obstruction including a location of the detected obstruction;

alter the flight plan, to be carried out by the flight components, if required, based on the advanced notifications received from the air traffic control system and the identified characteristics of the detected obstruction;

control the UAV, including the flight components, based on the altered flight plan; and

communicate the detected obstruction and identified characteristics including the location of the detected obstruction to the air traffic control system via the one or more wireless interfaces.

2. The UAV of claim 1 , wherein the radar is configured to detect the obstruction, and wherein the instructions, when executed, further cause the processing device to

cause the one or more cameras to obtain images or video of the detected obstruction at a location based on the radar detecting the obstruction at the location; and

analyze the images or video to identify the characteristics of the detected obstruction.

3. The UAV of claim 1 , wherein the one or more cameras are configured to detect the obstruction, and wherein the instructions, when executed, further cause the processing device to

analyze images or video obtained by the one or more cameras to identify the characteristics of the detected obstruction.

4. The UAV of claim 3 , wherein the one or more cameras comprise a front-facing camera and a rear-facing camera, wherein the front-facing camera is configured to detect the obstruction, and wherein the instructions, when executed, further cause the processing device to

cause one or more of the front-facing camera and the rear-facing camera to obtain additional images or video; and

analyze the images or video to identify the characteristics of the detected obstruction.

5. The UAV of claim 1 , wherein the detected obstruction comprises dynamic obstructions and the characteristics comprise size, shape, speed, direction, altitude, and heading.

6. The UAV of claim 5 , wherein the instruction, when executed, further cause the processing device to determine the characteristics based on analyzing multiple images or video of the proximate airspace over time.

7. The UAV of claim 1 , wherein the characteristics of the detected obstruction are for updating an obstruction database maintained by the air traffic control system.

8. An Unmanned Aerial Vehicle (UAV) method, wherein the UAV comprises flight components attached to or disposed on a base; one or more cameras; radar; one or more wireless interfaces; and a processing device communicatively coupled to the flight components, the one or more cameras, the radar, and the wireless interfaces, wherein the UAV method comprises:

receiving advanced notifications from an air traffic control system via the one or more wireless interfaces, the advanced notifications related to previously detected obstructions in a flight path associated with a flight plan of the UAV, wherein the previously detected obstructions include objects at or near ground level;

monitoring proximate airspace with at least one of the one or more cameras and radar;

detecting an obstruction based on monitoring the proximate airspace with at least one of the one or more cameras and radar, wherein the detected obstruction includes one or more objects at or near ground level in the flight path;

identify characteristics of the detected obstruction including a location of the detected obstruction;

alter the flight plan, to be carried out by the flight components, if required, based on the advanced notifications received from the air traffic control system and the identified characteristics of the detected obstruction;

controlling the UAV, including the flight components, based on the altered flight plan; and

communicate the detected obstruction and identified characteristics including the location of the detected obstruction to the air traffic control system via the one or more wireless interfaces.

9. The UAV method of claim 8 , wherein the detecting is executed via the radar, and wherein the UAV method further comprises:

causing the one or more cameras to obtain images or video of the detected obstruction at a location based on the radar detecting the obstruction at the location; and

analyzing the images or video to identify the characteristics of the detected obstruction.

10. The UAV method of claim 8 , wherein the detecting is executed via the one or more cameras, and wherein the UAV method further comprises:

analyzing images or video obtained by the one or more cameras to identify the characteristics of the detected obstruction.

11. The UAV method of claim 10 , wherein the one or more cameras comprise a front-facing camera and a rear-facing camera, and wherein the UAV method further comprises:

causing one or more of the front-facing camera and the rear-facing camera to obtain additional images or video; and

analyzing the images or video to identify the characteristics of the detected obstruction.

12. The UAV method of claim 8 , wherein the detected obstruction comprises dynamic obstructions and the characteristics comprise size, shape, speed, direction, altitude, and heading.

13. The UAV method of claim 12 , wherein the step of determining the characteristics is based on analyzing multiple images or video of the proximate airspace over time.

14. The UAV method of claim 8 , wherein the characteristics of the detected obstruction are communicated to the air traffic control system for updating an obstruction database maintained by the air traffic control system.

15. A non-transitory computer-readable medium comprising instructions, wherein an Unmanned Aerial Vehicle (UAV) comprises flight components attached to or disposed on a base; one or more cameras; radar; one or more wireless interfaces; and a processing device communicatively coupled to the flight components, the one or more cameras, the radar, and the wireless interfaces, wherein the instructions, when executed, cause the processing device to:

receive advanced notifications from an air traffic control system via the one or more wireless interfaces, the advanced notifications related to previously detected obstructions in a flight path associated with a flight plan of the UAV, wherein the previously detected obstructions include objects at or near ground level;

monitor proximate airspace with at least one of the one or more cameras and radar;

detect an obstruction based on monitoring the proximate airspace with at least one of the one or more cameras and radar, wherein the detected obstruction includes one or more objects at or near ground level in the flight path;

identify characteristics of the detected obstruction including a location of the detected obstruction;

alter the flight plan, to be carried out by the flight components, if required, based on the advanced notifications received from the air traffic control system and the identified characteristics of the detected obstruction;

control the UAV, including the flight components, based on the altered flight plan; and

communicate the detected obstruction and identified characteristics including the location of the detected obstruction to the air traffic control system via the one or more wireless interfaces.

Assignments (4)
CHANGE OF NAME Recorded Nov 29, 2023
From: METAL RAPTOR LLC
To: METAL RAPTOR INC.
Reel/Frame 065786/0781 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 15, 2021
From: PRIEST, LEE
To: METAL RAPTOR, LLC
Reel/Frame 056048/0388 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 15, 2021
From: ETAK SYSTEMS, LLC
To: PRIEST, LEE
Reel/Frame 055598/0694 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 13, 2016
From: PRIEST, LEE
To: ETAK SYSTEMS, LLC
Reel/Frame 040008/0083 →
Continuity (8)
Continuation In Part 15179188 · Jun 10, 2016
Continuation In Part 15185598 · Jun 17, 2016
Continuation In Part 15193488 · Jun 27, 2016
Continuation In Part 15217135 · Jul 22, 2016
Continuation In Part 15244023 · Aug 23, 2016
Continuation In Part 15255672 · Sep 2, 2016
Continuation In Part 15268831 · Sep 19, 2016
Related Publication 20170358228A1 · Dec 14, 2017
Cited By (13)
US 12,300,111 US 12,430,850 US 12,461,505 US 12,462,668 US 12,485,551 US 12,491,643 US 12,491,992 US 12,564,303 US 12,570,401 US 12,573,287 US 12,686,135 US 12,691,590 US 12,697,735