Allocating and extrapolating data for augmented reality for 6g or other next generation network

Abstract

Global position system tagging the movement of an object and extrapolating its direction and speed can be used for various services including emergency-based services. Location data can be computed using edge computing nodes. The extrapolation system can account for feedback from responding user devices and utilize the user device's location at the time of reporting to facilitate determining the direction, location, and/or speed of a moving object. This data can then be utilized to generate augmented reality displays for mobile devices and/or vehicles that utilize the system. The ability to calculate directional information with edge computing nodes can comprise an ability to add enriched data by predicting an object's whereabouts, route, and/or final destination.

What is claimed is: 
     
         1 . A method, comprising:
 receiving, by network equipment comprising a processor, location data associated with network devices;   receiving, by the network equipment, respective media from the network devices, wherein the respective media are associated with a moving object;   combining, by the network equipment, the location data and the respective media to generate an augmented reality representation of the moving object, wherein the augmented reality representation comprises a visual representation of the moving object, a position of the moving object, and speed of the moving object; and   sending, by the network equipment, the augmented reality representation to a device to facilitate displaying the augmented reality representation at the device.   
     
     
         2 . The method of  claim 1 , wherein the moving object is a vehicle. 
     
     
         3 . The method of  claim 1 , wherein the network devices comprise moving network devices, and further comprising receiving, by the network equipment, speed and direction data associated with the moving network devices. 
     
     
         4 . The method of  claim 1 , wherein the respective media comprises image data and timestamp data representative of respective times when the moving object was visible by the network devices. 
     
     
         5 . The method of  claim 1 , further comprising:
 generating, by the network equipment, prediction data representative of predicted travel of the moving object.   
     
     
         6 . The method of  claim 1 , further comprising:
 analyzing, by the network equipment, the location data and the respective media to determine relevance of the location data and the respective media.   
     
     
         7 . A system, comprising:
 a processor; and   a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising:   receiving first network device location data from first network devices;   first generating, using the first network device location data, first augmented reality data comprising a first location of an object;   transmitting the first augmented reality data to a network device to facilitate an augmented reality representation of the object at the first location;   receiving second network device location data from second network devices;   second generating, using the second network device location data, second augmented reality data comprising a second location of the object; and   transmitting the second augmented reality data to the network device to facilitate the augmented reality representation of the object at the second location.   
     
     
         8 . The system of  claim 7 , wherein the object is a vehicle. 
     
     
         9 . The system of  claim 7 , wherein the network device comprises a vehicle-based device. 
     
     
         10 . The system of  claim 7 , wherein the operations further comprise:
 receiving respective media from the first network devices,   wherein generating the augmented reality representation of the object comprises combining the respective media to generate the augmented reality representation of the object.   
     
     
         11 . The system of  claim 10 , wherein the operations further comprise:
 analyzing the respective media to determine relevance of the respective media.   
     
     
         12 . The system of  claim 7 , wherein the system comprises network equipment of a network slice comprising resources applicable to an augmented reality function. 
     
     
         13 . The system of  claim 7 , wherein the operations further comprise:
 receiving respective media from the first network devices, wherein the respective media is used along with the first network device location data for first generating the first augmented reality data comprising the first location of the object.   
     
     
         14 . A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processor, facilitate performance of operations, comprising:
 receiving, from mobile devices enabled to use services of a communication network, object data associated with an object respectively visible from the mobile devices;   generating, based on the object data, augmented reality data representative of the object; and   receiving, from the mobile devices, location data associated with locations of the object;   generating, based on the location data, travel data associated with movement of the object; and   sending the augmented reality data and the travel data to a device to facilitate an augmented reality display representative of the object and the movement of the object by the device.   
     
     
         15 . The non-transitory machine-readable medium of  claim 14 , wherein the object is a vehicle. 
     
     
         16 . The non-transitory machine-readable medium of  claim 14 , wherein the augmented reality data and the travel data is based on a location of the device. 
     
     
         17 . The non-transitory machine-readable medium of  claim 14 , wherein the operations further comprise:
 modifying the augmented reality data representative of the object based on a type of the object.   
     
     
         18 . The non-transitory machine-readable medium of  claim 17 , wherein the modifying the augmented reality data representative of the object comprises modifying a color of the augmented reality data representative of the object. 
     
     
         19 . The non-transitory machine-readable medium of  claim 14 , wherein the location data comprises geo-tag data representative of a geographic location of the object. 
     
     
         20 . The non-transitory machine-readable medium of  claim 14 , wherein the operations further comprise:
 receiving, from a stationary device, stationary device location data associated with a location of the object, wherein generating the travel data comprises using the stationary device location data to enhance accuracy of the travel data associated with movement of the object.