IP Library Granted Patent US 11,727,813
Granted Patent B2
US 11,727,813 · App. 16/193,053 · Granted Aug 15, 2023

Systems and methods for air traffic control for passenger drones

Inventor: Lee Priest (Charlotte, NC)
Assignee: Metal Raptor, LLC
G08G5/0039B64C39/024G05D1/0005G08G5/0013G08G5/0026G08G5/0043G08G5/0069G08G5/0086G08G5/045H04W4/44H04W24/04B64U2201/00
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Quick Facts
Patent No.
US 11,727,813
App. No.
16/193,053
Granted
Aug 15, 2023
Kind
B2
Abstract

Air traffic control systems and methods include communicating with passenger drones via one or more cell towers associated with the one or more wireless networks, wherein the passenger drones each include hardware and antennas adapted to communicate to the one or more cell towers, and wherein each passenger drone has a unique identifier in the air traffic control system; obtaining data associated with flight of each of the passenger drones based on the communicating; and managing the flight of each of the passenger drones based on the obtained data and performance of one or more functions associated with air traffic control, wherein each passenger drone is configured to constrain flight based on coverage of the one or more cell towers such that each passenger drone maintains communication on the one or more wireless networks.

Claims (45)

1. An air traffic control method comprising:

in an air traffic control system including one or more servers communicatively coupled to one or more wireless networks, communicating with passenger drones via one or more cell towers associated with the one or more wireless networks, wherein the passenger drones each include hardware and antennas adapted to communicate to the one or more cell towers, and wherein each passenger drone has a unique identifier in the air traffic control system;

maintaining a database of a plurality of waypoints for each of the geographic regions and data related to each of the plurality of waypoints in each respective region, the plurality of waypoints for the respective region being arranged to subdivide the respective region, wherein the waypoints cover a set area based on the region of the waypoints;

managing a plurality of flying lanes in each of the geographic regions, each of the plurality of flying lanes being a predefined geographical path defining a flight path of multiple waypoints of the plurality of waypoints of the respective region, the flight path being standardized for multiple drones to follow during flight where coverage of the one or more cell towers is determined to exist;

obtaining data from the database and from one or more of the passenger drones associated with flight of each of the passenger drones based on the communicating;

managing the flight of each of the passenger drones based on the obtained data, the data related to each of the plurality of waypoints in the database, and performance of one or more functions associated with air traffic control, wherein preference is given to data obtained from passenger drones determined to be more reliable and accurate; and

controlling the flight of each of the passenger drones to travel on the flight path of one of the plurality of flying lanes, monitoring cell signal strength by the passenger drones, adjusting the flight path of a respective flying lane based thereon by modifying which waypoints of the respective region define the flight path, and adjusting the flight of the passenger drones traveling in the respective flying lane to follow the flight path as adjusted, such that the flight by each passenger drone is constrained based on coverage of the one or more cell towers and each passenger drone maintains communication on the one or more wireless networks and operates only where the coverage of the one or more cell towers exists.

2. The air traffic control method of claim 1 , wherein the data associated with the flight of each of the passenger drones includes location, speed, direction, altitude, and waypoint data, and wherein the steps further comprise:

assigning an accuracy score to each of the passenger drones based on comparisons between the passenger drones.

3. The air traffic control method of claim 1 , wherein the one or more functions include any of separation assurance between passenger drones, navigation, weather and obstacle reporting, monitoring, traffic management, landing services, and real-time control.

4. The air traffic control method of claim 1 , wherein one or more of the passenger drones are configured for autonomous operations based on control by the air traffic control system.

5. The air traffic control method of claim 1 , wherein the hardware and antennas for each of the passenger drones is configured to operation on a plurality of different cell networks.

6. The air traffic control method of claim 1 , further comprising:

communicating with a one or more Unmanned Aerial Vehicles (UAVs) in addition to the passenger drones; and

managing flight of the one or more UAVs in addition to managing flight of the passenger drones.

7. The air traffic control method of claim 1 , wherein the one or more wireless networks include a first wireless network for bidirectional communication between a passenger drone and the air traffic control system and a second wireless network for unidirectional communication to the passenger drone for status indications.

8. The air traffic control method of claim 1 , wherein the one or more wireless networks include a first wireless network and a second wireless network each for bidirectional communication between a passenger drone and the air traffic control system for redundancy with one of the first wireless network and the second wireless network operating as primary and another as backup.

9. The air traffic control method of claim 1 , further comprising:

providing a visualization via a Graphical User Interface (GUI) at different geographic levels;

displaying individual passenger drones at local geographic levels;

providing a heat map conveying congestion of passenger drones at high geographic levels; and

performing one or more operations via the GUI for air traffic control and monitoring at any of a high-level and an individual drone level.

10. An air traffic control system comprising:

one or more servers each including a processor, a network interface communicatively coupled to one or more wireless networks, and memory storing instructions that, when executed, cause the processor to:

communicate with passenger drones via one or more cell towers associated with the one or more wireless networks, wherein the passenger drones each include hardware and antennas adapted to communicate to the one or more cell towers, and wherein each passenger drone has a unique identifier in the air traffic control system;

maintain a database of a plurality of waypoints for each of the geographic regions and data related to each of the plurality of waypoints in each respective region, the plurality of waypoints for the respective region being arranged to subdivide the respective region, wherein the waypoints cover a set area based on the region of the waypoints;

manage a plurality of flying lanes in each of the geographic regions, each of the plurality of flying lanes being a predefined geographical path defining a standardized flight path of multiple waypoints of the plurality of waypoints of the respective region, for drones to follow during flight, where coverage of the one or more cell towers is determined to exist;

obtain data from the database and from one or more of the passenger drones associated with flight of each of the passenger drones based on communication with each of the passenger drones;

manage the flight of each of the passenger drones based on the obtained data, the data related to each of the plurality of waypoints in the database, and performance of one or more functions associated with air traffic control, wherein preference is given to data obtained from passenger drones determined to be more reliable and accurate; and

control the flight of each of the passenger drones to travel on a flight path of one of the plurality of flying lanes, monitor cell signal strength by the passenger drones, adjust the flight path based thereon by modifying which waypoints of the respective region define the flight path, and adjust the flight of the passenger drones traveling in the respective flying lane, such that the flight by each passenger drone is constrained based on coverage of the one or more cell towers such that each passenger drone maintains communication on the one or more wireless networks and operates only where the coverage of the one or more cell towers exists.

11. The air traffic control system of claim 10 , wherein the data associated with the flight of each of the passenger drones includes location, speed, direction, altitude, and waypoint data, and wherein the steps further comprise:

assigning an accuracy score to each of the passenger drones based on comparisons between the passenger drones.

12. The air traffic control system of claim 10 , wherein the one or more functions include any of separation assurance between passenger drones, navigation, weather and obstacle reporting, monitoring, traffic management, landing services, and real-time control.

13. The air traffic control system of claim 10 , wherein one or more of the passenger drones are configured for autonomous operations based on control by the air traffic control system.

14. The air traffic control system of claim 10 , wherein the hardware and antennas for each of the passenger drones is configured to operation on a plurality of different cell networks.

15. The air traffic control system of claim 10 , wherein the memory storing instructions that, when executed, further cause the processor to

communicate with a one or more Unmanned Aerial Vehicles (UAVs) in addition to the passenger drones; and

manage flight of the one or more UAVs in addition to managing flight of the passenger drones.

16. The air traffic control system of claim 10 , wherein the one or more wireless networks include a first wireless network for bidirectional communication between a passenger drone and the air traffic control system and a second wireless network for unidirectional communication to the passenger drone for status indications.

17. The air traffic control system of claim 10 , wherein the one or more wireless networks include a first wireless network and a second wireless network each for bidirectional communication between a passenger drone and the air traffic control system for redundancy with one of the first wireless network and the second wireless network operating as primary and another as backup.

18. The air traffic control system of claim 10 , wherein the memory storing instructions that, when executed, further cause the processor to

providing a visualization via a Graphical User Interface (GUI) at different geographic levels;

displaying individual passenger drones at local geographic levels;

providing a heat map conveying congestion of passenger drones at high geographic levels; and

performing one or more operations via the GUI for air traffic control and monitoring at any of a high-level and an individual drone level.

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 Nov 16, 2018
From: PRIEST, LEE
To: ETAK SYSTEMS, LLC
Reel/Frame 047523/0332 →
Continuity (15)
Continuation In Part 16155354 · Oct 9, 2018
Continuation In Part 16100571 · Aug 10, 2018
Continuation In Part 16000950 · Jun 6, 2018
Continuation In Part 15985996 · May 22, 2018
Continuation In Part 15800574 · Nov 1, 2017
Continuation In Part 15338559 · Oct 31, 2016
Continuation In Part 15292782 · Oct 13, 2016
Continuation In Part 15268831 · Sep 19, 2016
Continuation In Part 15255672 · Sep 2, 2016
Continuation In Part 15244023 · Aug 23, 2016
Continuation In Part 15217135 · Jul 22, 2016
Continuation In Part 15193488 · Jun 27, 2016
Continuation In Part 15185598 · Jun 17, 2016
Continuation In Part 15179188 · Jun 10, 2016
Related Publication 20190080619A1 · Mar 14, 2019
Cited By (1)
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