Uncrewed aerial vehicle shared environment privacy and security

Abstract

A processing system including at least one processor may capture at least one image via at least one imaging sensor of an uncrewed aerial vehicle in a shared environment, detect a window within the at least one image, determine a location of the window in the shared environment, based upon a position of the uncrewed aerial vehicle and a distance between the uncrewed aerial vehicle and at least a portion of the window that is calculated from the at least one image, and record the location of the window in a map of the shared environment as a prohibited imaging zone.

What is claimed is: 
     
         1 . A method comprising:
 capturing, by a processing system including at least one processor, at least one image via at least one imaging sensor of an uncrewed aerial vehicle in a shared environment, wherein the shared environment comprises at least one of: a residential complex, an educational complex, or a business complex;   detecting, by the processing system, a window within the at least one image;   determining, by the processing system, a location of the window in the shared environment, based upon a position of the uncrewed aerial vehicle and a distance between the uncrewed aerial vehicle and at least a portion of the window that is calculated from the at least one image;   recording, by the processing system, the location of the window in a map of the shared environment as a prohibited imaging zone; and   storing, by the processing system, the map of the shared environment with the location of the window recorded as the prohibited imaging zone into a database that is accessible by at least one other uncrewed aerial vehicle.   
     
     
         2 . The method of  claim 1 , wherein the at least one imaging sensor comprises an optical camera. 
     
     
         3 . The method of  claim 1 , wherein the at least one imaging sensor comprises a light detection and ranging unit. 
     
     
         4 . The method of  claim 1 , further comprising:
 determining the position of the uncrewed aerial vehicle when the at least one image is captured.   
     
     
         5 . The method of  claim 4 , wherein the position of the uncrewed aerial vehicle is determined from a global positioning system unit of the uncrewed aerial vehicle. 
     
     
         6 . The method of  claim 4 , wherein the position of the uncrewed aerial vehicle is determined from a calculation of a distance to at least one reference point within the shared environment based upon the at least one image. 
     
     
         7 . The method of  claim 1 , wherein the window is identified by applying the at least one image as an input to at least one object detection model. 
     
     
         8 . The method of  claim 7 , wherein the at least one object detection model is trained to detect one or more windows within an image. 
     
     
         9 . The method of  claim 8 , wherein the at least one object detection model is further trained to determine boundaries of the one or more windows within the image. 
     
     
         10 . The method of  claim 1 , wherein the determining the location of the window further comprises determining locations of a plurality of points of a boundary of the window. 
     
     
         11 . The method of  claim 10 , wherein the recording the location of the window in the map comprises providing a set of coordinates defining the boundary of the window. 
     
     
         12 . The method of  claim 1 , wherein a notification is provided to at least one entity associated with the shared environment of a scheduled time of the capturing of the at least one image. 
     
     
         13 . A non-transitory computer-readable medium storing instructions which, when executed by a processing system including at least one processor, cause the processing system to perform operations, the operations comprising:
 capturing at least one image via at least one imaging sensor of an uncrewed aerial vehicle in a shared environment, wherein the shared environment comprises at least one of: a residential complex, an educational complex, or a business complex;   detecting a window within the at least one image;   determining a location of the window in the shared environment, based upon a position of the uncrewed aerial vehicle and a distance between the uncrewed aerial vehicle and at least a portion of the window that is calculated from the at least one image;   recording the location of the window in a map of the shared environment as a prohibited imaging zone; and   storing the map of the shared environment with the location of the window recorded as the prohibited imaging zone into a database that is accessible by at least one other uncrewed aerial vehicle.   
     
     
         14 . The non-transitory computer-readable medium of  claim 13 , wherein the at least one imaging sensor comprises at least one of:
 an optical camera; or   a light detection and ranging unit.   
     
     
         15 . The non-transitory computer-readable medium of  claim 13 , the operations further comprising:
 determining the position of the uncrewed aerial vehicle when the at least one image is captured.   
     
     
         16 . The non-transitory computer-readable medium of  claim 15 , wherein the position of the uncrewed aerial vehicle is determined from at least one of:
 a global positioning system unit of the uncrewed aerial vehicle; or   a calculation of a distance to at least one reference point within the shared environment based upon the at least one image.   
     
     
         17 . The non-transitory computer-readable medium of  claim 13 , wherein the window is identified by applying the at least one image as an input to at least one object detection model. 
     
     
         18 . The non-transitory computer-readable medium of  claim 17 , wherein the at least one object detection model is trained to detect one or more windows within an image. 
     
     
         19 . The non-transitory computer-readable medium of  claim 18 , wherein the at least one object detection model is further trained to determine boundaries of the one or more windows within the image. 
     
     
         20 . A device comprising:
 a processing system including at least one processor; and   a computer-readable medium storing instructions which, when executed by the processing system, cause the processing system to perform operations, the operations comprising:
 capturing at least one image via at least one imaging sensor of an uncrewed aerial vehicle in a shared environment, wherein the shared environment comprises at least one of: a residential complex, an educational complex, or a business complex; 
 detecting a window within the at least one image; 
 determining a location of the window in the shared environment, based upon a position of the uncrewed aerial vehicle and a distance between the uncrewed aerial vehicle and at least a portion of the window that is calculated from the at least one image; 
 recording the location of the window in a map of the shared environment as a prohibited imaging zone; and 
 storing the map of the shared environment with the location of the window recorded as the prohibited imaging zone into a database that is accessible by at least one other uncrewed aerial vehicle.