Facilitation of collaborative vehicle warnings

Abstract

This disclosure describes a solution to facilitate collaborative vehicle warnings via an edge node. An edge network can provide resources to the vehicles such that the vehicles can operate in a harmonic and safe manner. For example, a non-compliance of a vehicle captured by a video camera of another vehicle can be sent to the edge node for analysis. If other data related to non-compliances of the vehicle are received by the edge node, the edge node can label the vehicle as an unsafe vehicle. In response to the labeling the vehicle as an unsafe vehicle, the edge node can share this information with the vehicles that sent the video feed info and/or other vehicles that are nearby.

What is claimed is: 
     
         1 . A method, comprising:
 receiving, by an edge node comprising a processor, first image data representative of a first image of a first vehicle at a first time associated with the first image;   based on the first image data, determining, by the edge node, that the first vehicle is exhibiting a noncompliance with an operation rule applicable to the first vehicle at the first time;   receiving, by the edge node, second image data representative of a second image of the first vehicle at a second time after the first time;   based on the second image data, determining, by the edge node, that the first vehicle is still exhibiting the noncompliance with the operation rule at the second time;   determining, by the edge node, that a time difference between the second time and the first time is greater than a threshold time difference; and   in response to determining that the time difference is greater than the threshold time difference, determining, by the edge node, that the first vehicle is operating in an unsafe capacity as a result of continued noncompliance with the operation rule.   
     
     
         2 . The method of  claim 1 , further comprising:
 determining, by the edge node, a type of noncompliance by the first vehicle, and, based on the type of noncompliance, generating, by the edge node, the threshold time difference.   
     
     
         3 . The method of  claim 1 , further comprising:
 in response to determining that the first vehicle is operating in the unsafe capacity, sending, by the edge node, warning data representative of a warning to a second vehicle within a defined proximity of the first vehicle, wherein sending the warning data comprises sending the warning data to the second vehicle via an access point determined to be within a defined communicative range of the first vehicle and the second vehicle.   
     
     
         4 . The method of  claim 1 , wherein the operating in the unsafe capacity comprises failing to display a turn signal by the first vehicle for at least the threshold time difference. 
     
     
         5 . The method of  claim 1 , wherein the warning data is displayed with respect to a representation of the first vehicle via an augmented reality display perceivable from within, and determined to be associated with, a second vehicle. 
     
     
         6 . The method of  claim 1 , wherein the operating in the unsafe capacity comprises a headlight of the first vehicle being determined to inactive for at least the threshold time difference. 
     
     
         7 . The method of  claim 1 , further comprising:
 sending, by the edge node, to a device associated with the first vehicle, an indication that a headlight of the first vehicle has been determined to be inactive.   
     
     
         8 . Network equipment, comprising:
 a processor; and   a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising:
 receiving, from a first access point device, first image data representative of a first image of a first vehicle at a first time associated with the first image; 
 based on the first image data, determining that the first vehicle has been noncompliant, at the first time, with an operation rule applicable to the first vehicle; 
 receiving, from a second access point device, second image data representative of a second image of the first vehicle at a second time after the first time, wherein the second image data was recorded by a second vehicle; 
 based on the second image data, determining that the first vehicle has remained noncompliant, at the second time, with the operation rule applicable to the first vehicle; and 
 in response to determining that a difference between the first image data and the second image data is greater than a threshold difference, determining that the first vehicle is operating in a noncompliant mode. 
   
     
     
         9 . The network equipment of  claim 8 , wherein the determining that the first vehicle is operating in the noncompliant mode comprises determining that a failure to signal indicative of a lane change has occurred at the first time and the second time. 
     
     
         10 . The network equipment of  claim 8 , wherein the operations further comprise:
 facilitating displaying a warning via a display perceivable from within, and determined to be associated with, the second vehicle.   
     
     
         11 . The network equipment of  claim 8 , wherein determining that the first vehicle is operating in the noncompliant mode comprises determining that the first vehicle is outside of a lane for a duration of time spanning at least the first time and the second time. 
     
     
         12 . The network equipment of  claim 8 , wherein determining that the first vehicle is operating in the noncompliant mode comprises a determining that the first vehicle has veered into a lane occupied by the second vehicle for a duration of time spanning at least the first time and the second time. 
     
     
         13 . The network equipment of  claim 8 , wherein the operations further comprise:
 in response to determining that the first vehicle is operating in the noncompliant mode, sending warning data representative of a warning to the second vehicle via at least one of the first access point device or the second access point device.   
     
     
         14 . The network equipment of  claim 8 , wherein the operations further comprise:
 receiving weather data representative of a weather condition being experienced by the first vehicle; and   based on the weather condition, applying a filter to at least one of the first image data or the second image data to reduce a noise signal associated with the weather condition.   
     
     
         15 . The network equipment of  claim 8 , wherein the operations further comprise:
 based on an analysis of at least one of the first image data or the second image data, determining a type of noncompliance by the first vehicle; and   based on the type of noncompliance, obtaining the threshold difference.   
     
     
         16 . A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processor, facilitate performance of operations, comprising:
 receiving, from a first video capture device, first image data representative of a first image a first vehicle that has been determined to be noncompliant with an operation rule;   after the receiving the first image data, receiving, from a second video capture device, second image data representative of a second image of the first vehicle that has been determined to have remained noncompliant with the operation rule;   based on a number of times that the first vehicle has been determined to have been noncompliant with the operation rule being greater than a noncompliance threshold number, flagging the first vehicle as a noncompliant vehicle; and   in response to flagging the first vehicle, sending warning data, representative of a warning, to a second vehicle that has been determined to be a distance less than a threshold distance in proximity to the first vehicle.   
     
     
         17 . The non-transitory machine-readable medium of  claim 16 , wherein the warning data comprises vehicle identification data representative of a characteristic of the first vehicle, wherein the vehicle identification data is determined from at least one of the first image data or the second data, and wherein the vehicle identification data comprises model data representative of at least one of a make or model of the first vehicle. 
     
     
         18 . The non-transitory machine-readable medium of  claim 16 , wherein the warning data further comprises instruction data representative of an instruction to be displayed via a display device perceivable from within the second vehicle. 
     
     
         19 . The non-transitory machine-readable medium of  claim 16 , wherein the operations further comprise:
 based on the warning data, sending instruction data for a driver of the second vehicle to maneuver the second vehicle according to a defined route to avoid the first vehicle.   
     
     
         20 . The non-transitory machine-readable medium of  claim 16 , wherein flagging the first vehicle as the noncompliant vehicle is further based on the number of times being determined to be greater than the noncompliance threshold number within a defined duration of time.