UNMANNED VEHICLE DATA CORRELATION, ROUTING, AND REPORTING

• US 20180025044A1
• Filed: 07/20/2016
• Published: 01/25/2018
• Est. Priority Date: 07/20/2016
• Status: Abandoned Application

• Current Assignee: Drone Comply International, Inc.
• Original Assignee: Drone Comply International, Inc.
• Inventors: Hostetter, David W., Sultan, Alan R.
• Application Number:
  US15/215,030
• Publication Number:
  US 20180025044A1
• Time in Patent Office: Days
• CPC Class Codes: B64U 10/14 with four distinct rotor axes, e.g. quadcopters
• CPC Class Codes: B64U 2201/00 UAVs characterised by their flight controls
• CPC Class Codes: B64U 2201/10 autonomous, i.e. by navigating independently from ground or air stations, e.g. by using inertial navigation systems [INS]
• CPC Class Codes: B64U 2201/20 Remote controls
• CPC Class Codes: B64U 30/20 Rotors; Rotor supports
• CPC Class Codes: G06Q 10/08 Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
• CPC Class Codes: G06Q 50/26 Government or public services business processes related to the transportation industry G06Q50/40
• CPC Class Codes: G06Q 50/30 Transportation; Communications
• CPC Class Codes: G06Q 50/40 Business processes related to the transportation industry shipping G06Q10/083
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G08G 5/0013 with a ground station
• CPC Class Codes: G08G 5/0026 located on the ground
• CPC Class Codes: G08G 5/0043 Traffic management of multiple aircrafts from the ground G08G5/003 takes precedence; data processing specially designed for resource management, e.g. scheduling or allocating time, human or machine resources G06Q10/06
• CPC Class Codes: G08G 5/0056 in an emergency situation, e.g. hijacking
• CPC Class Codes: G08G 5/0069 specially adapted for an unmanned aircraft
• CPC Class Codes: G08G 5/0082 for monitoring traffic from a ground station radar or analogous systems specially adapted for traffic control G01S13/91
• CPC Class Codes: H04W 4/023 using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds

Abstract

Systems, devices, and techniques are generally described to process unmanned vehicle data. First unmanned vehicle data related to a particular unmanned vehicle may be received from a first computing device. Second unmanned vehicle data related to the particular unmanned vehicle may be received from a second computing device. A determination may be made that the first unmanned vehicle data and the second unmanned vehicle data relate to the particular unmanned vehicle. A parameter from a governmental entity may be identified. The parameter may define an operating limitation for unmanned vehicles. The first unmanned vehicle data and/or the second unmanned vehicle data may be compared to the parameter. A determination may be made that the particular unmanned vehicle has operated in violation of the operating limitation.

Claims

1. A computer-implemented method of processing unmanned vehicle data, the method comprising:

receiving first unmanned vehicle data related to a first unmanned vehicle from a first computing device;

receiving second unmanned vehicle data related to the first unmanned vehicle from a second computing device;

determining that the first unmanned vehicle data and the second unmanned vehicle data relate to the first unmanned vehicle;

identifying a parameter from a governmental entity, wherein the parameter defines an operating limitation for unmanned vehicles;

comparing at least one of the first unmanned vehicle data and the second unmanned vehicle data to the parameter; and

determining that the first unmanned vehicle has operated in violation of the operating limitation.

2. The computer-implemented method of claim 1, further comprising:

transmitting an indication that the first unmanned vehicle has operated in violation of the operating limitation to the governmental entity.

3. The computer-implemented method of claim 2, further comprising:

providing a status update to a user interface of an unmanned vehicle data collection and reporting application, wherein the status update is related to actions taken by the governmental entity in response to the indication that the first unmanned vehicle has operated in violation of the operating limitation.

4. The computer-implemented method of claim 1, further comprising:

receiving unmanned vehicle position data related to a second unmanned vehicle;

comparing the unmanned vehicle position data to other unmanned vehicle position data stored in a networked database;

identifying a correlation between the unmanned vehicle position data and at least a portion of the other unmanned vehicle position data;

identifying a unmanned vehicle identity associated with the portion of the other unmanned vehicle position data; and

associating the second unmanned vehicle with the unmanned vehicle identity.

5. The computer-implemented method of claim 1, wherein the first unmanned vehicle data includes photograph data, audio data, or video data representing the first unmanned vehicle and position data associated with the first computing device at the time the photograph data, audio data, or video data was captured.

6. The computer-implemented method of claim 1, further comprising:

transmitting, by the first unmanned vehicle, the first unmanned vehicle data, wherein the first unmanned vehicle data includes an indication of an identity of the first unmanned vehicle; and

prior to receiving the first unmanned vehicle data from the first computing device, receiving, by the first computing device, the first unmanned vehicle data from the first unmanned vehicle.

7. The computer-implemented method of claim 1, where determining that the first unmanned vehicle data and the second unmanned vehicle data relate to the first unmanned vehicle comprises identifying a correspondence between first unmanned vehicle metadata of the first unmanned vehicle data and second unmanned vehicle metadata of the second unmanned vehicle data.

8. The computer-implemented method of claim 7, wherein the first unmanned vehicle metadata and the second unmanned vehicle metadata include at least one of unmanned vehicle longitude information, unmanned vehicle latitude information, and unmanned vehicle altitude information.

9. The computer-implemented method of claim 8, wherein the first unmanned vehicle metadata and the second unmanned vehicle metadata further includes one or more time stamps.

10. The computer-implemented method of claim 1, wherein the parameter relates to a regulation or law applicable to unmanned vehicle operation in a location where the first unmanned vehicle was operating at the time the first unmanned vehicle data was generated.

11. The computer-implemented method of claim 1, wherein comparing at least one of the first unmanned vehicle data and the second unmanned vehicle data to the parameter comprises comparing a value related to a state of operation of the first unmanned vehicle indicated by at least one of the first unmanned vehicle data and the second unmanned vehicle data to a threshold value of a permissible state of operation for the first unmanned vehicle defined by the parameter.

12. A unmanned vehicle data processing computing device, comprising:

at least one processor; and

a non-transitory, computer-readable memory configured to be in communication with the at least one processor;

the at least one processor effective to;

receive first unmanned vehicle data related to an unmanned vehicle from a first computing device;

receive second unmanned vehicle data related to the unmanned vehicle from a second computing device;

determine that the first unmanned vehicle data and the second unmanned vehicle data relate to the unmanned vehicle by correlating first metadata of the first unmanned vehicle data with second metadata of the second unmanned vehicle data;

identify a parameter stored in the computer-readable memory, wherein the parameter defines an operating limitation for unmanned vehicles;

compare at least one of the first unmanned vehicle data and the second unmanned vehicle data to the parameter; and

determine that the unmanned vehicle has operated in violation of the operating limitation.

13. The server of claim 12, wherein the at least one processor is further effective to transmit an indication that the unmanned vehicle has operated in violation of the operating limitation to a governmental entity.

14. The server of claim 13, wherein the at least one processor is further effective to provide a status update to a user interface of a unmanned vehicle data collection and reporting application, wherein the status update is related to actions taken by the governmental entity in response to the indication that the first unmanned vehicle has operated in violation of the operating limitation.

15. The server of claim 12, wherein the at least one processor is further effective to:

receive unmanned vehicle position data related to a second unmanned vehicle;

compare the unmanned vehicle position data to other unmanned vehicle position data stored in the computer-readable memory;

identify a correlation between the unmanned vehicle position data and at least a portion of the other unmanned vehicle position data;

identify a unmanned vehicle identity associated with the portion of the other unmanned vehicle position data; and

associate the second unmanned vehicle with the unmanned vehicle identity.

16. The server of claim 12, wherein the first unmanned vehicle data includes photograph data or video data representing the first unmanned vehicle and position data associated with the first computing device at the time the photograph data or video data were captured.

17. There server of claim 12, wherein the parameter relates to a regulation or law applicable to unmanned vehicle operation in a location where the first unmanned vehicle was operating at the time the first unmanned vehicle data was generated.

18. A computer-implemented method to identify a unmanned vehicle, the method comprising:

receiving location data and time stamp data from a mobile computing device as a part of a unmanned vehicle incident report, wherein the location data indicates a location and wherein the time stamp data indicates a time;

searching a database using the location data and the time stamp data as a search query to the database;

receiving a first list of reported unmanned vehicle incidents, wherein the reported unmanned vehicle incidents occurred within a threshold distance of the location and within a threshold amount of time of the time indicated by the time stamp data;

identifying a second list of one or more unmanned vehicles involved in the first list of reported unmanned vehicle incidents; and

sending the second list of the one or more unmanned vehicles to the mobile computing device or another computing device.

19. The method of claim 18, further comprising:

displaying images of the one or more unmanned vehicles at the mobile computing device;

receiving a selection of a first unmanned vehicle of the one or more unmanned vehicles at the mobile computing device, wherein the selection indicates that the first unmanned vehicle was involved in a unmanned vehicle incident for which the unmanned vehicle incident report was generated; and

storing an association between the first unmanned vehicle and the unmanned vehicle incident report in the database.

20. The method of claim 19, further comprising sending the unmanned vehicle incident report and data identifying the first unmanned vehicle to a governmental entity.