Managing detected obstructions in air traffic control systems for passenger drones
Static obstruction detection and management systems and methods include, in an Air Traffic Control (ATC) system for any flying vehicles including any of passenger drones and Unmanned Aerial Vehicles (UAVs), receiving monitored data from a plurality flying vehicles related to static obstructions; receiving external data from one or more external sources related to the static obstructions; analyzing the monitored data and the external data to populate and manage an obstruction database of the static obstructions; and transmitting obstruction instructions to the plurality of flying vehicles based on analyzing the obstruction database with their flight plan.
1. A static obstruction detection and management method comprising:
in an Air Traffic Control (ATC) system for any flying vehicles including any of passenger drones and Unmanned Aerial Vehicles (UAVs), receiving monitored data from a plurality flying vehicles related to static obstructions;
receiving external data from one or more external sources related to the static obstructions, wherein the external data includes map data, public record data, and satellite imagery;
analyzing the monitored data and the external data to identify the static obstructions using a pattern matching technique, to verify the integrity of existing data, and to identify permanency of each of the static obstructions using a permanency flag assigned to each of the static obstructions based on an identity of a respective static obstruction;
populating and managing an obstruction database of the static obstructions, the obstruction database comprising a plurality of data structures each defining a no fly zone of location coordinates based on the analyzing and the permanency flag defining an associated obstruction as either a permanent obstruction and a temporary obstruction, wherein permanency flags for temporary instructions each include a Time to Remove component that specifies one component chosen from (1) a time for removal component that identifies a time for removal of the obstruction from the obstruction database and (2) a review component that requires removal of the obstruction if the next UAV passing near the temporary obstruction fails to detect and report the temporary obstruction, wherein the managing includes analyzing the external data to verify the integrity of existing data in the obstruction database; and
transmitting obstruction instructions to the plurality of flying vehicles based on analyzing the obstruction database to control the flying vehicles by modifying their flight plans.
2. The static obstruction detection and management method of claim 1 , wherein the data structures define one of a cylinder and a rectangular prism sized to cover an associated obstruction and with associated location coordinates.
3. The static obstruction detection and management method of claim 1 , wherein the external data is used to first detect an obstruction and enter the obstruction in the obstruction database and the monitored data is used to verify the obstruction in the obstruction database.
4. The static obstruction detection and management method of claim 1 , further comprising:
transmitting instructions to one or more flying vehicles to obtain additional information to populate and manage the obstruction database.
5. The static obstruction detection and management method of claim 1 , further comprising:
managing one or more of emergency landing locations, recharging locations, and landing locations for the flying vehicles based on the obstruction database.
6. The static obstruction detection and management method of claim 1 , wherein the flying vehicles fly under 1000 feet and the obstructions are based thereon.
7. The static obstruction detection and management method of claim 1 , further comprising, in response to the pattern matching technique failing to identify a static obstruction, flagging the static obstruction for human review.
8. An air traffic control and monitoring system for static obstruction detection and management, the system comprising:
a network interface and one or more processors communicatively coupled to one another; and
memory storing instructions that, when executed, cause the one or more processors to:
receive monitored data from a plurality of flying vehicles including any of passenger drones and Unmanned Aerial Vehicles (UAVs) related to static obstructions via the network interface;
receive external data from one or more external sources related to the static obstructions via the network interface, wherein the external data includes map data, public record data, and satellite imagery;
analyze the monitored data and the external data to identify the static obstructions using a pattern matching technique, to verify the integrity of existing data, and to identify permanency of each of the static obstructions using a permanency flag assigned to each of the static obstructions based on an identity of a respective static obstruction;
populate and manage an obstruction database of the static obstructions, the obstruction database comprising a plurality of data structures each defining a no fly zone of location coordinates based on the analyzing and a permanency flag defining an associated obstruction as either a permanent obstruction and the temporary obstruction, wherein permanency flags for temporary instructions each include a Time to Remove component that specifies one component chosen from (1) a time for removal component that identifies a time for removal of the obstruction from the obstruction database and (2) a review component that requires removal of the obstruction if the next UAV passing near the temporary obstruction fails to detect and report the temporary obstruction, wherein the managing includes analyzing the external data to verify the integrity of existing data in the obstruction database; and
transmit obstruction instructions to the plurality of flying vehicles based on analyzing the obstruction database to control the flying vehicles by modifying their flight plans via the network interface.
9. The air traffic control and monitoring system of claim 8 , wherein the data structures define one of a cylinder and a rectangular prism sized to cover an associated obstruction and with associated location coordinates.
10. The air traffic control and monitoring system of claim 8 , wherein the external data is used to first detect an obstruction and enter the obstruction in the obstruction database and the monitored data is used to verify the obstruction in the obstruction database.
11. The air traffic control and monitoring system of claim 8 , wherein the memory storing instructions that, when executed, further cause the one or more processors to:
transmit instructions to one or more flying vehicles to obtain additional information to populate and manage the obstruction database.
12. The air traffic control and monitoring system of claim 8 , wherein the memory storing instructions that, when executed, further cause the one or more processors to:
manage one or more of emergency landing locations, recharging locations, and landing locations for the flying vehicles based on the obstruction database.
13. The air traffic control and monitoring system of claim 8 , wherein the plurality of flying vehicles fly under 1000 feet and the obstructions are based thereon.
14. The air traffic control and monitoring system of claim 8 , wherein the memory storing instructions that, when executed, further cause the one or more processors to:
in response to the pattern matching technique failing to identify a static obstruction, flagging the static obstruction for human review.
15. A non-transitory computer-readable medium comprising instructions that, when executed, cause one or more processors to perform steps of:
receiving monitored data from a plurality of flying vehicles including any of passenger drones and Unmanned Aerial Vehicles (UAVs) related to static obstructions;
receiving external data from one or more external sources related to the static obstructions, wherein the external data includes map data, public record data, and satellite imagery;
analyzing the monitored data and the external data to identify the static obstructions using a pattern matching technique, to verify the integrity of existing data, and to identify of permanency of each of the static obstructions using a permanency flag assigned to each of the static obstructions based on an identity of a respective static obstruction;
populate and manage an obstruction database of the static obstructions, the obstruction database comprising a plurality of data structures each defining a no fly zone of location coordinates based on the analyzing and the permanency flag defining an associated obstruction as either a permanent obstruction and a temporary obstruction, wherein permanency flags for temporary instructions each include a Time to Remove component that specifies one component chosen from (1) a time for removal component that identifies a time for removal of the obstruction from the obstruction database and (2) a review component that requires removal of the obstruction if the next UAV passing near the temporary obstruction fails to detect and report the temporary obstruction, wherein the managing includes analyzing the external data to verify the integrity of existing data in the obstruction database; and
transmitting obstruction instructions to the plurality of flying vehicles based on analyzing the obstruction database with their flight plan.
16. The non-transitory computer-readable medium of claim 15 , wherein the data structures define one of a cylinder and a rectangular prism sized to cover an associated obstruction and with associated location coordinates.
17. The non-transitory computer-readable medium of claim 15 , wherein the one or more processors are further caused to, in response to the pattern matching technique failing to identify a static obstruction, flagging the static obstruction for human review.