Methods and systems for mapping a parking area for autonomous parking

1. A method of mapping a parking area for autonomous parking, the method comprising:

receiving, using a computing device, a point of interest designator for a point of interest, a drop-off location designator for a drop-off location associated with the point of interest, a parking location designator for a parking location associated with the point of interest, and a parking path designator for a parking path between the drop-off location and the parking location;

validating, using the computing device, a remote device having at least a locating sensor as a function of a surveyor identifier comprising at least an element of data configured to uniquely identify the remote device, wherein the remote device is configured to record survey data;

receiving, using the computing device, the survey data of the point of interest from the remote device as a function of validating the remote device, wherein the survey data comprises:

a drop-off geofence for the drop-off location;

a parking geofence for the parking location;

a parking waypath for the parking path; and

site-specific driving rules associated with the point of interest;

generating, using the computing device, a parking map for the point of interest, wherein the parking map comprises the drop-off location designator, the parking location designator, the parking path designator, the drop-off geofence, the parking geofence, the parking waypath, and the site-specific driving rules;

verifying, using the computing device, the survey data, as a function of a machine-learning model, wherein the machine learning model is trained with training data correlating survey data to survey data classifications; and

validating, using the computing device, the parking waypath, wherein validating the parking waypath further comprises:

segmenting the parking waypath into a plurality of parking sub-waypaths; and

validating at least a parking sub-waypath of the plurality of parking sub-waypaths.

2. The method of claim 1 , further comprising communicating, using the computing device, the parking map to at least an autonomous vehicle.

3. The method of claim 1 , further comprising:

receiving, using the computing device, a pick-up location designator for a pick-up location associated with the point of interest and a summoning path designator for a summoning path between the parking location and the pick-up location;

wherein the survey data, further comprises:

a pick-up geofence for the pick-up location; and

a summoning waypath for the summoning path; and

wherein the parking map further comprises the pick-up location designator, the summoning path designator, the pick-up geofence, and the summoning waypath.

4. The method of claim 1 , wherein the parking waypath further comprises:

at least one signage waypoint; and

the parking map further comprises at least a signage designator to the at least one signage waypoint.

5. The method of claim 3 , wherein the survey data further comprises a survey data structure, wherein the survey data structure comprises the drop-off geofence, the parking geofence, the parking waypath, the pick-up geofence, and the summoning waypath.

6. The method of claim 1 , further comprising:

receiving, using the computing device, a task identifier from the remote device; and

validating, using the computing device, the task identifier.

7. The method of claim 1 , wherein the remote device comprises:

a remote computing device; and

the at least a locating sensor communicatively connected to the remote computing device, wherein the at least a locating sensor comprises a global positioning sensor.

8. The method of claim 1 , further comprising:

verifying, using the remote device, the parking waypath.

9. A system for mapping a parking area for autonomous parking, the system comprising:

a computing device configured to:

receive a point of interest designator for the point of interest, a drop-off location designator for the drop-off location, a parking location designator for the parking location, and a parking path designator for a parking path;

validate, using the computing device, a remote device having at least a locating sensor as a function of a surveyor identifier comprising at least an element of data configured to uniquely identify the remote device, wherein the remote device is configured to record survey data;

receive the survey data of the point of interest from the remote device as a function of validating the remote device, wherein the survey data comprises:

a drop-off geofence for a drop off location associated with the point of interest;

a parking geofence for a parking location associated with the point of interest;

a parking waypath for the parking path between the drop-off location and the parking location; and

site-specific driving rules associated with the point of interest;

generate a parking map for the point of interest, wherein the parking map comprises the drop-off location designator, the parking location designator, the parking path designator, the drop-off geofence, the parking geofence, the parking waypath, and the site-specific driving rules;

verify, using the computing device, the survey data, as a function of a machine-learning model, wherein the machine-learning model is trained with training data correlating survey data to survey data classifications; and

validate, using the computing device, the parking waypath, wherein validating the parking waypath further comprises:

segmenting the parking waypath into a plurality of parking sub-waypaths; and

validating at least a parking sub-waypath of the plurality of parking sub-waypaths.

10. The system of claim 9 , wherein the computing device is further configured to communicate the parking map to at least an autonomous vehicle.

11. The system of claim 9

wherein the computing device is further configured to:

receive a pick-up location designator for a pick-up location associated with the point of interest and a summoning path designator for a summoning path between the parking location and the pick-up location;

wherein the survey data further comprises:

a pick-up geofence for the pick-up location; and

a summoning waypath for the summoning path; and

wherein the parking map further comprises the pick-up location designator, the summoning path designator, the pick-up geofence, and the summoning waypath.

12. The system of claim 11 , wherein the survey data further comprises a survey data structure, wherein the survey data structure comprises the drop-off geofence, the parking geofence, the parking waypath, the pick-up geofence, and the summoning waypath; and

upload the survey data structure to the computing device.

13. The system of claim 9 , wherein the parking waypath further comprises at least one signage waypoint; and

the parking map comprises at least a signage designator to the at least one signage waypoint.

14. The system of claim 9 , wherein the computing device is further configured to:

receive a task identifier, from the remote device; and

validate the task identifier.

15. The system of claim 9 , wherein the remote device comprises:

a remote computing device; and

the at least a locating sensor communicatively connected to the remote computing device, wherein the at least a locating sensor comprises a global positioning sensor.