Managing dynamic obstructions in air traffic control systems for passenger drones and unmanned aerial vehicles
A passenger drone includes a processing device communicatively coupled to the flight components, cameras, radar, and wireless interfaces; and memory storing instructions that, when executed, cause the processing device to receive notifications from an air traffic control system via the one or more wireless interfaces, the notifications related to previously detected obstructions in a flight path associated with a flight plan of the passenger drone, 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, wherein the detected obstruction includes one or more objects at or near ground level in the flight path; alter the flight plan, to be carried out by the flight components, if required, based on the detected obstruction.
1. A passenger drone comprising:
a base with flight components attached or disposed thereto and with one or more seats for passengers;
one or more cameras, radar, and one or more wireless interfaces; and
a processing device communicatively coupled to the flight components, the one or more cameras, the radar, and the one or more wireless interfaces; and
memory storing instructions that, when executed, cause the processing device to:
receive notifications from an air traffic control system via the one or more wireless interfaces, the notifications related to previously detected temporary obstructions in proximate airspace of a flight path associated with a flight plan of the passenger drone, wherein the previously detected temporary obstructions include objects at or near ground level;
monitor the proximate airspace with at least one of the one or more cameras and radar;
confirm and report to the air traffic control system whether the previously detected temporary obstructions are present in the proximate airspace;
detect a new obstruction based on monitoring the proximate airspace, wherein the detected obstruction includes one or more objects at or near ground level in the flight path; and
in response to the new obstruction being in the flight path, alter the flight plan, to be carried out by the flight components, if required, based on the new obstruction detected.
2. The passenger drone of claim 1 , wherein the radar is configured to detect the new 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 new obstruction at a location based on the radar detecting the new obstruction at the location; and
analyze the images or video to identify characteristics of the new obstruction.
3. The passenger drone of claim 1 , wherein the radar is configured to detect the new obstruction, and wherein the instructions, when executed, further cause the processing device to
communicate a presence of the new obstruction to the air traffic control system via the one or more wireless interfaces.
4. The passenger drone of claim 1 , wherein the one or more cameras are configured to detect the new 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 characteristics of the new obstruction, and wherein the characteristics are utilized to identify a type of obstruction that the new obstruction is.
5. The passenger drone 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 new 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 characteristics of the new obstruction.
6. The passenger drone of claim 2 , wherein the new obstruction comprises a dynamic obstruction and the characteristics comprise size, shape, speed, direction, altitude, and heading thereof.
7. The passenger drone of claim 6 , wherein the instructions, when executed, further cause the processing device to determine the characteristics based on analyzing multiple images or video of the proximate airspace over time.
8. The passenger drone of claim 2 , wherein the characteristics of the new obstruction are for updating an obstruction database maintained by the air traffic control system and for classifying a permanency of the new obstruction, wherein categories for the permanency classifications include a permanent classification and a temporary classification.
9. A method implemented via a passenger drone that includes a base with flight components attached or disposed thereto and with one or more seats for passengers; one or more cameras, radar, and one or more wireless interfaces; and a processing device communicatively coupled to the flight components, the one or more cameras, the radar, and the one or more wireless interfaces, the method comprising:
receiving notifications from an air traffic control system via the one or more wireless interfaces, the notifications related to previously detected temporary obstructions in proximate airspace of a flight path associated with a flight plan of the passenger drone, wherein the previously detected temporary obstructions include objects at or near ground level;
monitoring the proximate airspace with at least one of the one or more cameras and radar;
confirming and reporting to the air traffic control system whether the previously detected temporary obstructions are present in the proximate airspace;
detecting a new obstruction based on monitoring the proximate airspace, wherein the detected obstruction includes one or more objects at or near ground level in the flight path;
in response to the new obstruction being in the flight path, altering the flight plan, to be carried out by the flight components, if required, based on the new obstruction.
10. The method of claim 9 , wherein the detecting is executed via the radar, and wherein the method further comprising
causing the one or more cameras to obtain images or video of the new obstruction at a location based on the radar detecting the new obstruction at the location; and
analyzing the images or video to identify characteristics of the new obstruction.
11. The method of claim 9 , further comprising
communicating a presence of the new obstruction to the air traffic control system via the one or more wireless interfaces.
12. The method of claim 9 , wherein the detecting is executed via the one or more cameras, and wherein the method further comprising
analyzing images or video obtained by the one or more cameras to identify characteristics of the detected obstruction, and wherein the characteristics are utilized to identify a type of obstruction that the new obstruction is.
13. The method of claim 12 , wherein the one or more cameras comprise a front-facing camera and a rear-facing camera, and wherein the method further comprising
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 obstruction.
14. The method of claim 10 , wherein the new obstruction comprises a dynamic obstruction and the characteristics comprise size, shape, speed, direction, altitude, and heading thereof.
15. The method of claim 14 , wherein the step of determining the characteristics is based on analyzing multiple images or video of the proximate airspace over time.
16. The method of claim 10 , wherein the characteristics of the new obstruction are communicated to the air traffic control system for updating an obstruction database maintained by the air traffic control system and for classifying a permanency of the new obstruction, wherein categories for the permanency classifications include a permanent classification and a temporary classification.
17. A non-transitory computer-readable medium comprising instructions, wherein a passenger drone that includes a base with flight components attached or disposed thereto and with one or more seats for passengers; one or more cameras, radar, and one or more wireless interfaces; and a processing device communicatively coupled to the flight components, the one or more cameras, the radar, and the one or more wireless interfaces, wherein the instructions, when executed, cause the processing device to perform steps of:
receiving notifications from an air traffic control system via the one or more wireless interfaces, the notifications related to previously detected temporary obstructions in proximate airspace of a flight path associated with a flight plan of the passenger drone, wherein the previously detected temporary obstructions include objects at or near ground level;
monitoring the proximate airspace with at least one of the one or more cameras and radar;
confirming and reporting to the air traffic control system whether the previously detected temporary obstructions are present in the proximate airspace;
detecting a new obstruction based on monitoring the proximate airspace, wherein the detected obstruction includes one or more objects at or near ground level in the flight path;
in response to the new obstruction being in the flight path, altering the flight plan, to be carried out by the flight components, if required, based on the new obstruction.
18. The non-transitory computer-readable medium of claim 17 , wherein the detecting is executed via the radar, and wherein the instructions, when executed, further cause the processing device to perform steps of
causing the one or more cameras to obtain images or video of the new obstruction at a location based on the radar detecting the new obstruction at the location; and
analyzing the images or video to identify characteristics of the new obstruction.
19. The non-transitory computer-readable medium of claim 17 , wherein the detecting is executed via the one or more cameras, and wherein the instructions, when executed, further cause the processing device to perform steps of
analyzing images or video obtained by the one or more cameras to identify characteristics of the new obstruction, and wherein the characteristics are utilized to identify a type of obstruction that the new obstruction is.
20. The non-transitory computer-readable medium of claim 18 , wherein the new obstruction comprises a dynamic obstruction and the characteristics comprise size, shape, speed, direction, altitude, and heading thereof.