System and method for securing delivery using an autonomous vehicle

1. A method for securing delivery of an autonomous vehicle to a final destination, comprising:

receiving location coordinates of a final destination to navigate to;

determining visual features of a captured image of a current location of the autonomous vehicle, the captured image generated by an image sensor communicatively coupled with the autonomous vehicle, wherein the visual features are a subset of environmental features within the captured image;

retrieving location coordinates of the current location of the autonomous vehicle from a positioning sensor communicatively coupled with the autonomous vehicle;

matching the location coordinates of the final destination and the current location;

matching the visual features of the captured image of the current location to reference visual features of a reference image associated with the location coordinates of the current location, wherein reference image data includes a map associated with the location coordinates, wherein the map includes a plurality of sub-sections and a plurality of the reference visual features, wherein each reference visual feature is a subset of environmental features in the respective reference image and is stored as metadata in the map associated with a respective sub-section of the map;

matching a verification code present within the captured image to a reference verification code, where the verification code is a two-dimensional visual code previously associated with the final destination;

determining if the current location is the final destination based on the matching between the visual features of the captured image with the reference image; and

rerouting the autonomous vehicle from the current location to a new destination when the current location is determined to be different than the final destination, wherein the final destination is a first final destination, wherein the two-dimensional visual code associated with the first final destination is recycled at a second final destination such that the recycled two-dimensional code is assigned to the second final destination.

2. The method of claim 1 , further comprising:

associating the two-dimensional visual code with a final location based on usage of secondary visual codes associated with adjacent properties.

3. The method of claim 2 , wherein adjacent properties include at least one of: properties in immediate proximity to the final location and properties within a predetermined radius from the final location.

4. The method of claim 1 , wherein the environmental features include at least one of: man-made structures, natural structures, roadways, vegetation, topography, and the size and shape of property lots.

5. The method of claim 1 , wherein the reference image data includes at least one previously captured image associated with the location coordinates.

6. The method of claim 1 , wherein the location coordinates include satellite positioning coordinates retrieved from the positioning sensor within the autonomous vehicle.

7. The method of claim 1 , wherein the matching of the visual features of the captured image to the reference image data includes at least one of: image recognition techniques, machine learning, neural networks, and deep convolutional neural network.

8. A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to perform a process, the process comprising:

receiving location coordinates of a final destination to navigate to;

determining visual features of a captured image of a current location of the autonomous vehicle, the captured image generated by an image sensor communicatively coupled with the autonomous vehicle, wherein the visual features are a subset of environmental features within the captured image;

retrieving location coordinates of the current location of the autonomous vehicle from a positioning sensor communicatively coupled with the autonomous vehicle;

matching the location coordinates of the final destination and the current location;

matching the visual features of the captured image of the current location to reference visual features of a reference image associated with the location coordinates of the current location, wherein reference image data includes a map associated with the location coordinates, wherein the map includes a plurality of sub-sections and a plurality of the reference visual features, wherein each reference visual feature is a subset of environmental features in the respective reference image and is stored as metadata in the map associated with a respective sub-section of the map;

matching a verification code present within the captured image to a reference verification code, where the verification code is a two-dimensional visual code previously associated with the final destination;

determining if the current location is the final destination based on the matching between the visual features of the captured image with the reference image; and

rerouting the autonomous vehicle from the current location to a new destination when the current location is determined to be different than the final destination, wherein the final destination is a first final destination, wherein the two-dimensional visual code associated with the first final destination is recycled at a second final destination such that the recycled two-dimensional code is assigned to the second final destination.

9. A system for securing delivery of an autonomous vehicle, comprising:

a processing circuitry; and

a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:

receive location coordinates of a final destination to navigate to;

determine visual features of a captured image of a current location of the autonomous vehicle, the captured image generated by an image sensor communicatively coupled with the autonomous vehicle, wherein the visual features are a subset of environmental features within the captured image;

retrieve location coordinates of the current location of the autonomous vehicle from a positioning sensor communicatively coupled with the autonomous vehicle;

match the location coordinates of the final destination and the current location;

match the visual features of the captured image of the current location to reference visual features of a reference image associated with the location coordinates of the current location, wherein reference image data includes a map associated with the location coordinates, wherein the map includes a plurality of sub-sections and a plurality of the reference visual features, wherein each reference visual feature is a subset of environmental features in the respective reference image and is stored as metadata in the map associated with a respective sub-section of the map;

match a verification code present within the captured image to a reference verification code, where the verification code is a two-dimensional visual code previously associated with the final destination;

determine if the current location is the final destination based on the matching between the visual features of the captured image with the reference image; and

reroute the autonomous vehicle from the current location to a new destination when the current location is determined to be different than the final destination, wherein the final destination is a first final destination, wherein the two-dimensional visual code associated with the first final destination is recycled at a second final destination such that the recycled two-dimensional code is assigned to the second final destination.

10. The system of claim 9 , wherein the system is further configured to:

associate the two-dimensional visual code with a final location based on usage of secondary visual codes associated with adjacent properties.

11. The system of claim 10 , wherein adjacent properties include at least one of: properties in immediate proximity to the final location and properties within a predetermined radius from the final location.

12. The system of claim 9 , wherein the environmental features include at least one of: man-made structures, natural structures, roadways, vegetation, topography, and the size and shape of property lots.

13. The system of claim 9 , wherein the reference image data includes at least one previously captured image associated with the location coordinates.

14. The system of claim 9 , wherein the location coordinates include satellite positioning coordinates retrieved from the position sensor within the autonomous vehicle.

15. The system of claim 9 , wherein the match of the visual features of the captured image to the reference image data includes at least one of: image recognition techniques, machine learning, neural networks, and deep convolutional neural network.

16. The method of claim 1 , further comprising:

causing the autonomous vehicle to deliver a payload when the current location is determined to be the final destination.

17. The system of claim 9 , wherein the system is further configured to:

cause the autonomous vehicle to deliver a payload when the current location is determined to be the final destination.

18. The method of claim 1 , wherein matching the visual features of the captured image of the current location to the reference visual features of the reference image associated with the location coordinates of the current location, further comprises:

comparing a subset of the visual features of the captured image to the reference image.

19. The system of claim 9 , wherein the system is further configured to:

compare a subset of the visual features of the captured image to the reference image.