Dynamic analysis of real-time restrictions for remote controlled vehicles

• US 10,168,696 B2
• Filed: 03/31/2016
• Issued: 01/01/2019
• Est. Priority Date: 03/31/2016
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Bostick, James E., Ganci, Jr., John M., Keen, Martin G., Rakshit, Sarbajit K.
• Primary Examiner(s): Goldman, Richard A
• Application Number:
  US15/086,723
• Publication Number:
  US 20170285632A1
• Time in Patent Office: 1,006 Days
• Field of Search: 701 2, 701 3, 701 26, 701301, 244190
• CPC Class Codes: G05D 1/0022 characterised by the communication link data switching networks in general H04L12/00
• CPC Class Codes: G05D 1/106 Change initiated in response to external conditions, e.g. avoidance of elevated terrain or of no-fly zones
• CPC Class Codes: G08G 5/0026 located on the ground
• CPC Class Codes: G08G 5/0039 Modification of a flight plan
• CPC Class Codes: G08G 5/006 in accordance with predefined flight zones, e.g. to avoid prohibited zones
• 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

Abstract

Dynamic analysis and updating real-time restrictions for remote controlled vehicles. Remote controlled vehicles are subject to geospatial restrictions that are updated in real time; dynamic analysis of geospatial restrictions allows for proper operation of a remote controlled vehicle.

Claims

1. A computer implemented method, comprising:

determining a first geographic location of a remote controlled vehicle;

identifying a set of geographic restrictions and settings for the remote controlled vehicle, based at least in part, on a cognitive system, wherein the cognitive system includes;

a natural language processor, and

a visual processor,

the set of geographic restrictions being identified based on extracted data extracted by parsing social media input through visual processing by the cognitive system, the social media input being received by the remote controlled vehicle after the first geographic location of the remote controlled vehicle is determined;

adjusting the first geographic location of the remote controlled vehicle to a second geographic location based, at least in part, on;

the set of geographic restrictions;

predicting a set of future geographic restrictions for the remote controlled vehicle based, at least in part, on the cognitive system; and

adjusting the second geographic location to a third geographic location based, at least in part, on the set of future geographic restrictions,

wherein at least determining the first geographic location is performed by computer software running on computer hardware.

2. The method of claim 1, wherein the remote controlled vehicle contains a video camera.

3. The method of claim 1, wherein the remote controlled vehicle is an aircraft.

4. The method of claim 1, wherein the geographic restrictions for the remote controlled vehicle include an altitude.

5. The method of claim 1, further comprising:

determining a first set of states for the settings of the remote controlled vehicle;

wherein the settings include a set of settings restrictions for the remote controlled vehicle; and

adjusting the first set of states for the set of settings to a second set of states for the set of settings based, at least in part, on the set of settings restrictions.

6. The method of claim 5, further comprising:

predicting a set of future settings restrictions for the remote controlled vehicle; and

adjusting the second set of states for the set of settings to a third set of states for the set of settings based, at least in part, on the set of future settings restrictions.

7. The method of claim 5, wherein the set of settings restrictions includes a settings restriction for video recording.

8. A computer program product comprising:

a non-transitory computer readable storage medium having stored thereon;

first instructions executable by a device to cause the device to determine a first geographic location of a remote controlled vehicle;

second instructions executable by a device to cause the device to identify a set of geographic restrictions and settings for the remote controlled vehicle based, at least in part, on a cognitive system, wherein the cognitive system includes;

a natural language processor, and

a visual processor,

the set of geographic restrictions being identified based on extracted data extracted by parsing social media input through visual processing by the cognitive system, the social media input being received by the remote controlled vehicle after the first geographic location of the remote controlled vehicle is determined;

third instructions executable by a device to cause the device to adjust the first geographic location of the remote controlled vehicle to a second geographic location based, at least in part, on the set of geographic restrictions;

fourth instructions executable by a device to cause the device to predict a set of future geographic restrictions for the remote controlled vehicle based, at least in part, on the cognitive system; and

fifth instructions executable by a device to cause the device to adjust the second geographic location to a third geographic location based, at least in part, on the set of future geographic restrictions.

9. The computer program product of claim 8, wherein the remote controlled vehicle contains a video camera.

10. The computer program product of claim 8, wherein the remote controlled vehicle is an aircraft.

11. The computer program product of claim 8, wherein the geographic restrictions for the remote controlled vehicle include an altitude.

12. The computer program product of claim 8, further comprising:

fourth instructions executable by a device to cause the device to determine a first set of states for the settings of the remote controlled vehicle;

fifth instructions executable by a device to cause the device to identify a set of settings restrictions for the remote controlled vehicle; and

sixth instructions executable by a device to cause the device to adjust the first set of states to a second set of states for the set of settings based, at least in part, on the set of settings restrictions.

13. The computer program product of claim 12, further comprising:

seventh instructions executable by a device to cause the device to predict a set of future settings restrictions for the remote controlled vehicle; and

eighth instructions executable by a device to cause the device to adjust the second set of states for the set of settings to a third set of states for the set of settings based, at least in part, on the set of future settings restrictions.

14. The computer program product of claim 12, wherein the set of settings restrictions includes a settings restriction for video recording.

15. A computer system comprising:

a processor set; and

a non-transitory computer readable storage medium;

wherein;

the processor set is structured, located, connected, and/or programmed to execute instructions stored on the non-transitory computer readable storage medium; and

the instructions include;

first instructions executable by a device to cause the device to determine a first geographic location and settings of a remote controlled vehicle;

second instructions executable by a device to cause the device to identify a set of geographic restrictions for the remote controlled vehicle based, at least in part, on a cognitive system, wherein the cognitive system includes;

a natural language processor, and

a visual processor,

the set of geographic restrictions being identified based on extracted data extracted by parsing social media input through visual processing by the cognitive system, the social media input being received by the remote controlled vehicle after the first geographic location of the remote controlled vehicle is determined;

third instructions executable by a device to cause the device to adjust the first geographic location of the remote controlled vehicle to a second geographic location based, at least in part, on the set of geographic restrictions;

fourth instructions executable by a device to cause the device to predict a set of future geographic restrictions for the remote controlled vehicle based, at least in part, on the cognitive system; and

fifth instructions executable by a device to cause the device to adjust the second geographic location to a third geographic location based, at least in part, on the set of future geographic restrictions.

16. The computer system of claim 15, wherein the remote controlled vehicle contains a video camera.

17. The computer system of claim 15, wherein the remote controlled vehicle is an aircraft.

18. The computer system of claim 15, wherein the geographic restrictions for the remote controlled vehicle includes an altitude.

19. The computer system of claim 15, further comprising:

fourth instructions executable by a device to cause the device to determine a first set of states for a set of the settings of the remote controlled vehicle;

fifth instructions executable by a device to cause the device to identify a set of settings restrictions for the remote controlled vehicle; and

sixth instructions executable by a device to cause the device to adjust the first set of states to a second set of states for the set of settings based, at least in part, on the set of settings restrictions.

20. The computer system of claim 19, further comprising:

seventh instructions executable by a device to cause the device to predict a set of future settings restrictions for the remote controlled vehicle; and

eighth instructions executable by a device to cause the device to adjust the second set of states for the set of settings to a third set of states for the set of settings based, at least in part, on the set of future settings restrictions.