Automatic accessibility mapping using AI

1 . A method comprising:

acquiring, by one or more computing systems, geospatial imaging data of a location site;

identifying, by the one or more computing systems using artificial intelligence, accessible features of the location site that are determined to be accessible to a person having a physical disability, wherein the accessible features of the location site include a seating area having a support structure to accommodate a person with a disability in addition to a clear pathway to the seating area;

identifying, by the one or more computing systems using artificial intelligence, inaccessible features of the location site that are determined to be inaccessible to a person having a physical disability, wherein the inaccessible features of the location site include a seating area without a support structure to accommodate a person with a disability; and

generating, by the one or more computing systems using Geographic Information System mapping processes, an aerial map of a location site using the geospatial imaging data, wherein the aerial map comprises a first layer denoting the accessible features of the location site using specific colors, wherein the aerial map comprises a second layer denoting the inaccessible features of the location site using different specific colors.

2 . The method of claim 1 , wherein the one or more computing systems include a control unit of an unmanned aerial vehicle that captured the geospatial images of the location site.

3 . The method of claim 1 , wherein the aerial map comprises a 3D map, wherein the geospatial imaging data comprise point cloud data.

4 . The method of claim 1 , wherein the aerial map comprises a 2D map, wherein the geospatial imaging data comprises photogrammetry data.

5 . The method of claim 1 , wherein the accessible features further comprise accessible pathways, and accessible parking lots, wherein the inaccessible features further comprise inaccessible pathways, inaccessible parking lots, and any inaccessible public spaces.

6 . The method of claim 1 , further comprising generating, by the one or more computing systems using the Geographic Information System mapping processes, a heat map identifying groupings of accessible features of the location site at various density levels.

7 . The method of claim 1 , further comprising generating, by the one or more computing systems using the Geographic Information System mapping processes, a heat map identifying groupings of inaccessible features of the location site at various density levels.

8 . A system comprising:

at least one processor; and

memory configured to communicate with the at least one processor, wherein the memory stores instructions that, in response to execution by the at least one processor, cause the at least one processor to perform operations comprising:

acquiring geospatial imaging data of a location site;

identifying, using artificial intelligence, accessible features of the location site that are determined to be accessible to a person having a physical disability, wherein the accessible features of the location site include a seating area having a support structure to accommodate a person with a disability in addition to a clear pathway to the seating area;

identifying, using artificial intelligence, inaccessible features of the location site that are determined to be inaccessible to a person having a physical disability, wherein the inaccessible features of the location site include a seating area without a support structure to accommodate a person with a disability; and

generating, using Geographic Information System (GIS) mapping processes, an aerial map of a location site using the geospatial imaging data, wherein the aerial map comprises a first layer denoting the accessible features of the location site using specific colors, wherein the aerial map comprises a second layer denoting the inaccessible features of the location site using different specific colors.

9 . The system of claim 8 , wherein the at least one processor include a control unit of an unmanned aerial vehicle that captured the geospatial imaging data of the location site.

10 . The system of claim 8 , wherein the aerial map comprises a 3D map, wherein the geospatial imaging data comprise point cloud data.

11 . The system of claim 8 , wherein the aerial map comprises a 2D map, wherein the geospatial imaging data comprises photogrammetry data.

12 . The system of claim 8 , wherein the accessible features comprise accessible pathways and accessible parking lots, wherein the inaccessible features comprise inaccessible pathways and inaccessible parking lots.

13 . The system of claim 8 , wherein the operations further comprise generating, using the Geographic Information System mapping processes, a heat map identifying groupings of accessible features of the location site at various density levels.

14 . The system of claim 8 , wherein the operations further comprise generating, using the Geographic Information System mapping processes, a heat map identifying groupings of inaccessible features of the location site at various density levels.

15 . A non-transitory, tangible computer-readable storage medium having instructions stored thereon that, in response to execution by a computer-based system, cause the computer-based system to perform operations comprising:

acquiring geospatial imaging data of a location site;

identifying, using artificial intelligence, accessible features of the location site that are determined to be accessible to a person having a physical disability, wherein the accessible features of the location site include a seating area having a support structure to accommodate a person with a disability in addition to a clear pathway to the seating area;

identifying, using artificial intelligence, inaccessible features of the location site that are determined to be inaccessible to a person having a physical disability, wherein the inaccessible features of the location site include a seating area without a support structure to accommodate a person with a disability; and

generating, using Geographic Information System (GIS) mapping processes, an aerial map of a location site using the geospatial imaging data, wherein the aerial map comprises a first layer denoting the accessible features of the location site using specific colors, wherein the aerial map comprises a second layer denoting the inaccessible features of the location site using different specific colors.

16 . The non-transitory, tangible computer-readable storage medium of claim 15 , wherein the aerial map comprises a 3D map, wherein the geospatial imaging data comprise point cloud data.

17 . The non-transitory, tangible computer-readable storage medium of claim 15 , wherein the aerial map comprises a 2D map, wherein the geospatial imaging data comprises photogrammetry data.

18 . The non-transitory, tangible computer-readable storage medium of claim 15 , wherein the accessible features further comprise accessible pathways and accessible parking lots, wherein the inaccessible features further comprise inaccessible pathways and inaccessible parking lots.

19 . The non-transitory, tangible computer-readable storage medium of claim 15 , wherein the operations further comprise generating, using the Geographic Information System mapping processes, a heat map identifying groupings of accessible features of the location site at various density levels.

20 . The non-transitory, tangible computer-readable storage medium of claim 15 , wherein the operations further comprise generating, using the Geographic Information System mapping processes, a heat map identifying groupings of inaccessible features of the location site at various density levels.