Systems and methods for vehicle pushback collision notification and avoidance

Abstract

Disclosed are systems, methods, and non-transitory computer-readable medium for vehicle collision notification and avoidance. One system may include attaching at least one camera to a vehicle, receiving vehicle information and geographic information regarding the vehicle and at least one other vehicle. The system may also include predicting a next position of the vehicle and the other vehicle, and determine whether the vehicle will collide with the other vehicle based on a comparison of the next position of the vehicle and the next position of the other vehicle. The system may also include generating a graphical representation of the collision of the vehicle and the other vehicle and may transmit the graphic representation to a user device.

What is claimed is: 
     
         1 . A computer-implemented method for vehicle collision notification and avoidance, the method comprising:
 establishing a field of view video of at least one camera coupled to a vehicle;   transmitting the field of view video of the at least one camera coupled to the vehicle to a user device;   receiving vehicle information regarding the vehicle;   receiving other vehicle information regarding at least one other vehicle in the field of view video of the at least one camera coupled to the vehicle;   receiving geographic information regarding the location of the vehicle and the other vehicle;   predicting a next position of the vehicle based on the vehicle information and the geographic information;   predicting a next position of the other vehicle based on the other vehicle information and the geographic information;   determining whether the vehicle will collide with the other vehicle based on a comparison of the next position of the vehicle to the next position of the other vehicle;   generating a graphical representation in the field of view video of the at least one camera coupled to the vehicle, wherein the graphical representation represents the collision of the vehicle and the other vehicle; and   transmitting the graphical representation of the collision of the vehicle and the other vehicle to the user device.   
     
     
         2 . The computer-implemented method of  claim 1 , wherein the at least one camera is removably coupled to the vehicle and the at least one camera coupled to the vehicle is selected from RGB camera, IR camera, thermal camera, and RGB-D camera. 
     
     
         3 . The computer-implemented method of  claim 1 , wherein the vehicle information and the other vehicle information include at least one of, position information, speed information, aircraft structural information, aircraft safe zone radius ring information, and wing tip separation clearance distance information. 
     
     
         4 . The computer-implemented method of  claim 1 , wherein the location of the vehicle is obtained from, a GPS receiver on the vehicle, or a tug vehicle connected to the vehicle. 
     
     
         5 . The computer-implemented method of  claim 1 , wherein the geographic information include at least one of, aircraft taxiway clearance path, airport surface guidance line information, historical pushback trajectory information, and airport surface information. 
     
     
         6 . The computer-implemented method of  claim 1 , wherein predicting a next position of the vehicle and the other vehicle comprise using computer vision and regression model. 
     
     
         7 . The computer-implemented method of  claim 1 , wherein the user device is one of smartphones, laptops, tablets, desktop computers, smart glasses, virtual reality headsets, augmented reality headsets, and smart watches. 
     
     
         8 . A computer-implemented system for vehicle collision notification and avoidance, the computer-implemented system comprising:
 a memory having processor-readable instructions stored therein; and   at least one processor configured to access the memory and execute the processor-readable instructions, which when executed by the processor configures the processor to perform functions for:
 establishing a field of view video of at least one camera coupled to a vehicle; 
 transmitting the field of view video of the at least one camera coupled to the vehicle to a user device; 
 receiving vehicle information regarding the vehicle; 
 receiving other vehicle information regarding at least one other vehicle in the field of view video of the at least one camera coupled to the vehicle; 
 receiving geographic information regarding the location of the vehicle and the other vehicle; 
 predicting a next position of the vehicle based on the vehicle information and the geographic information; 
 predicting a next position of the other vehicle based on the other vehicle information and the geographic information; 
 determining whether the vehicle will collide with the other vehicle based on a comparison of the next position of the vehicle to the next position of the other vehicle; 
 generating a graphical representation in the field of view video of the at least one camera coupled to the vehicle, wherein the graphical representation represents the collision of the vehicle and the other vehicle; and 
 transmitting the graphical representation of the collision of the vehicle and the other vehicle to the user device. 
   
     
     
         9 . The computer-implemented system of  claim 8 , wherein the at least one camera coupled to the vehicle is selected from RGB camera, IR camera, thermal camera, and RGB-D camera. 
     
     
         10 . The computer-implemented system of  claim 8 , wherein the vehicle information and the other vehicle information include at least one of, position information, speed information, aircraft structural information, aircraft safe zone radius ring information, and wing tip separation clearance distance information. 
     
     
         11 . The computer-implemented system of  claim 8 , wherein the location of the vehicle is obtained from, a GPS receiver on the vehicle, or a tug vehicle connected to the vehicle. 
     
     
         12 . The computer-implemented system of  claim 8 , wherein the geographic information include at least one of, aircraft taxiway clearance path, airport surface guidance line information, historical pushback trajectory information, and airport surface information. 
     
     
         13 . The computer-implemented system of  claim 8 , wherein predicting a next position of the vehicle and the other vehicle comprise using computer vision and regression model. 
     
     
         14 . The computer-implemented system of  claim 8 , wherein the user device is one of smartphones, laptops, tablets, desktop computers, smart glasses, virtual reality headsets, augmented reality headsets, and smart watches. 
     
     
         15 . A non-transitory computer-readable medium containing instructions for vehicle collision notification and avoidance, comprising:
 establishing a field of view video of at least one camera coupled to a vehicle;   transmitting the field of view video of the at least one camera coupled to the vehicle to a user device;   receiving vehicle information regarding the vehicle;   receiving other vehicle information regarding at least one other vehicle in the field of view video of the at least one camera coupled to the vehicle;   receiving geographic information regarding the location of the vehicle and the other vehicle;   predicting a next position of the vehicle based on the vehicle information and the geographic information;   predicting a next position of the other vehicle based on the other vehicle information and the geographic information;   determining whether the vehicle will collide with the other vehicle based on a comparison of the next position of the vehicle to the next position of the other vehicle;   generating a graphical representation in the field of view video of the at least one camera coupled to the vehicle, wherein the graphical representation represents the collision of the vehicle and the other vehicle; and   transmitting the graphical representation of the collision of the vehicle and the other vehicle to the user device.   
     
     
         16 . The non-transitory computer-readable medium of  claim 15 , wherein the at least one camera coupled to the vehicle is selected from RGB camera, IR camera, thermal camera, and RGB-D camera. 
     
     
         17 . The non-transitory computer-readable medium of  claim 15 , wherein the vehicle information and the other vehicle information include at least one of, position information, speed information, aircraft structural information, aircraft safe zone radius ring information, and wing tip separation clearance distance information. 
     
     
         18 . The non-transitory computer-readable medium of  claim 15 , wherein the location of the vehicle is obtained from, a GPS receiver on the vehicle, or a tug vehicle connected to the vehicle. 
     
     
         19 . The non-transitory computer-readable medium of  claim 15 , wherein the geographic information include at least one of, aircraft taxiway clearance path, airport surface guidance line information, historical pushback trajectory information, and airport surface information. 
     
     
         20 . The non-transitory computer-readable medium of  claim 15 , wherein predicting a next position of the vehicle and the other vehicle comprise using computer vision and regression model.