Abstract: Automating conversion of drawings to indoor maps and plans. One example is a computer-implemented method comprising: preprocessing a CAD drawing to create a text database containing text from the CAD drawing and associations of the text with locations within the CAD drawing; determining a floor depicted in the CAD drawing, the determining results in a floor-level outline; identifying a plurality of room-level outlines within the floor-level outline, the plurality of room-level outlines corresponds to a respective plurality of rooms; selecting a name of a first room from the plurality of rooms, the selecting based on text within the text database; and creating an indoor map including the name of the first room, the name of the first room associated with a location of the first room within the floor-level outline.

Abstract: Generating local- and global-walkable paths for route guidance. At least one example is a computer-implemented method of generating comprehensive maps for route guidance, the method comprising: determining, by the computing device, a trigger event occurred; determining, by an application executed on the computing device, an initial location of the computing device; sending, by the application executed on the computing device, to a server an indication of the initial location of the computing device; receiving, by the computing device from the server, a map comprising a floorplan including at least the initial location and a plurality of locations; and presenting, by the application executed on the computing device, the map on a display.

Abstract: Generating local-and global-walkable paths for route guidance. At least one example is a computer-implemented method of generating comprehensive maps for route guidance, the method comprising: determining, by the computing device, a trigger event occurred; determining, by an application executed on the computing device, an initial location of the computing device; sending, by the application executed on the computing device, to a server an indication of the initial location of the computing device; receiving, by the computing device from the server, a map comprising a floorplan including at least the initial location and a plurality of locations; and presenting, by the application executed on the computing device, the map on a display.

Abstract: Generating local- and global-walkable paths for route guidance. At least one example is a computer-implemented method of generating comprehensive maps for route guidance, the method comprising: receiving, by a processor, a floorplan delineating walkable and non-walkable areas; performing, by the processor, spatial analysis regarding the walkable areas to find a path graph for the walkable areas, the path graph comprises a plurality of segments defined by vertices, and the plurality of segments defining local-walkable paths; and removing, by a processor, segments that intersect non-walkable areas to generate a set of global-walkable paths from the path graph.

Abstract: Generating local- and global-walkable paths for route guidance. At least one example is a computer-implemented method of generating comprehensive maps for route guidance, the method comprising: receiving, by a processor, a floorplan delineating walkable and non-walkable areas; performing, by the processor, spatial analysis regarding the walkable areas to find a path graph for the walkable areas, the path graph comprises a plurality of segments defined by vertices, and the plurality of segments defining local-walkable paths; and removing, by a processor, segments that intersect non-walkable areas to generate a set of global-walkable paths from the path graph.

Abstract: Generating local- and global-walkable paths for route guidance. At least one example is a computer-implemented method of generating comprehensive maps for route guidance, the method comprising: receiving, by a processor, a floorplan delineating walkable and non-walkable areas; performing, by the processor, spatial analysis regarding the walkable areas to find a path graph for the walkable areas, the path graph comprises a plurality of segments defined by vertices, and the plurality of segments defining local-walkable paths; and generating, by the processor, a set of global-walkable paths from the path graph, the generating comprising reducing a number of dead-end segments, and reducing a number of vertices.

Abstract: Generating route guidance in near real-time. At least one example is a method of providing route guidance by way of a mobile device, the method comprising: acquiring an applet by the mobile device, the acquiring responsive to a trigger event, and the trigger event identifies a destination location; determining, by the applet executed on the mobile device, an initial location of the mobile device; sending, by the applet executed on the mobile device, to a server an indication of the initial location of the mobile device and an indication of the destination location; receiving, by the mobile device from the server, a map comprising the initial location and the destination location; determining, by the applet executed on the mobile device, a route from the initial location to the destination location; and providing, by the applet executed on mobile device, guidance along the route to the destination location.

Abstract: Automating conversion of drawings to indoor maps and plans. One example is a computer-implemented comprising: preprocessing an original CAD drawing to create a modified CAD drawing, a text database containing text from the original CAD drawing, a CAD vector-image of the modified CAD drawing, and a CAD raster-image of the modified CAD drawing; determining a floor depicted in the CAD drawing, the determining results in a floor-level bounding line; sensing furniture depicted on the floor by applying the floor-level bounding line, the CAD vector-image, and the text database to machine-learning algorithms, the sensing results in a plurality of furniture entities and associated location information; identifying each room depicted in the CAD drawing, the identifying results in a plurality of room outlines; and creating an indoor map for the floor by combining the plurality of furniture entities and associated location information with the plurality of room outlines.

Abstract: Automating conversion of drawings to indoor maps and plans. One example is a computer-implemented method of creating an indoor map from a CAD drawing, the method comprising: preprocessing an original CAD drawing to create a modified CAD drawing, a text database containing text from the original CAD drawing, a CAD vector-image of the modified CAD drawing, and a CAD raster-image of the modified CAD drawing; creating a floor-level outline; sensing furniture depicted on the floor, the sensing creates set of furniture entities; identifying a room depicted in the CAD drawing; and creating the indoor map for a floor using the floor-level outline, the room-level outline and the room identity.

Abstract: Automating conversion of drawings to indoor maps and plans. One example is a computer-implemented method of machine learning, the method comprising: receiving, by a device, a first set of updates to a first indoor map, the first indoor map previously created by a production machine-learning system having a production map accuracy; training, by a device, a supporting machine-learning system using the first set of updates to the first indoor map; and then applying, by a device, test data to the supporting machine-learning system, the applying results in first-evaluation indoor map with a first-evaluation map accuracy; and when the first-evaluation map accuracy is within a predetermined window above the production map accuracy refraining, by a device, from updating the production machine-learning system based on the first set of updates.

Abstract: Generating route guidance in near real-time. At least one example is a method of providing route guidance by way of a mobile device, the method comprising: acquiring an applet by the mobile device, the acquiring responsive to a trigger event, and the trigger event identifies a destination location; determining, by the applet executed on the mobile device, an initial location of the mobile device; sending, by the applet executed on the mobile device, to a server an indication of the initial location of the mobile device and an indication of the destination location; receiving, by the mobile device from the server, a map comprising the initial location and the destination location; determining, by the applet executed on the mobile device, a route from the initial location to the destination location; and providing, by the applet executed on mobile device, guidance along the route to the destination location.

Abstract: Automating conversion of drawings to indoor maps and plans. One example is a computer-implemented method of determining a geo-location, the method comprising: determining a floor-level outline of a floor depicted in a CAD drawing; receiving an approximate geo-location of a building to which the CAD drawing applies; obtaining an overhead image of a target area encompassing the approximate geo-location, the overhead image comprising a plurality of buildings within the target area; identifying a plurality of building footprints within the target area; calculating, by a device, a plurality of distance functions that relate the floor-level outline to the each of the plurality of building footprints, the calculating creates a plurality of similarity scores; selecting a building footprint from plurality of building footprints, the selecting based on the plurality of similarity scores; and calculating a final geo-location of the building corresponding to the building footprint.

Abstract: Automating conversion of drawings to indoor maps and plans. One example is a computer-implemented method of creating an indoor map from a CAD drawing, the method comprising: preprocessing an original CAD drawing to create a modified CAD drawing, a text database containing text from the original CAD drawing, a CAD vector-image of the modified CAD drawing, and a CAD raster-image of the modified CAD drawing; creating a floor-level outline; sensing furniture depicted on the floor, the sensing creates set of furniture entities; identifying a room depicted in the CAD drawing; and creating the indoor map for a floor using the floor-level outline, the room-level outline and the room identity.

Abstract: Automating conversion of drawings to indoor maps and plans. One example is a computer-implemented comprising: preprocessing an original CAD drawing to create a modified CAD drawing, a text database containing text from the original CAD drawing, a CAD vector-image of the modified CAD drawing, and a CAD raster-image of the modified CAD drawing; determining a floor depicted in the CAD drawing, the determining results in a floor-level bounding line; sensing furniture depicted on the floor by applying the floor-level bounding line, the CAD vector-image, and the text database to machine-learning algorithms, the sensing results in a plurality of furniture entities and associated location information; identifying each room depicted in the CAD drawing, the identifying results in a plurality of room outlines; and creating an indoor map for the floor by combining the plurality of furniture entities and associated location information with the plurality of room outlines.

Abstract: Automating conversion of drawings to indoor maps and plans. One example is a computer-implemented comprising: preprocessing an original CAD drawing to create a modified CAD drawing, a text database containing text from the original CAD drawing, a CAD vector-image of the modified CAD drawing, and a CAD raster-image of the modified CAD drawing; determining a floor depicted in the CAD drawing, the determining results in a floor-level bounding line; sensing furniture depicted on the floor by applying the floor-level bounding line, the CAD vector-image, and the text database to machine-learning algorithms, the sensing results in a plurality of furniture entities and associated location information; identifying each room depicted in the CAD drawing, the identifying results in a plurality of room outlines; and creating an indoor map for the floor by combining the plurality of furniture entities and associated location information with the plurality of room outlines.

Abstract: Automating conversion of drawings to indoor maps and plans. One example is a computer-implemented method comprising: preprocessing a CAD drawing to create a text database containing text from the CAD drawing and associations of the text with locations within the CAD drawing; determining a floor depicted in the CAD drawing, the determining results in a floor-level outline; identifying a plurality of room-level outlines within the floor-level outline, the plurality of room-level outlines corresponds to a respective plurality of rooms; selecting a name of a first room from the plurality of rooms, the selecting based on text within the text database; and creating an indoor map including the name of the first room, the name of the first room associated with a location of the first room within the floor-level outline.

Abstract: Automating conversion of drawings to indoor maps and plans. One example is a computer-implemented method of machine learning, the method comprising: receiving, by a device, a first set of updates to a first indoor map, the first indoor map previously created by a production machine-learning system having a production map accuracy; training, by a device, a supporting machine-learning system using the first set of updates to the first indoor map; and then applying, by a device, test data to the supporting machine-learning system, the applying results in first-evaluation indoor map with a first-evaluation map accuracy; and when the first-evaluation map accuracy is within a predetermined window above the production map accuracy refraining, by a device, from updating the production machine-learning system based on the first set of updates.

Abstract: Automating conversion of drawings to indoor maps and plans. One example is a computer-implemented method of determining a geo-location, the method comprising: determining a floor-level outline of a floor depicted in a CAD drawing; receiving an approximate geo-location of a building to which the CAD drawing applies; obtaining an overhead image of a target area encompassing the approximate geo-location, the overhead image comprising a plurality of buildings within the target area; identifying a plurality of building footprints within the target area; calculating, by a device, a plurality of distance functions that relate the floor-level outline to the each of the plurality of building footprints, the calculating creates a plurality of similarity scores; selecting a building footprint from plurality of building footprints, the selecting based on the plurality of similarity scores; and calculating a final geo-location of the building corresponding to the building footprint.

Abstract: Automating conversion of drawings to indoor maps and plans. One example is a computer-implemented comprising: preprocessing an original CAD drawing to create a modified CAD drawing, a text database containing text from the original CAD drawing, a CAD vector-image of the modified CAD drawing, and a CAD raster-image of the modified CAD drawing; determining a floor depicted in the CAD drawing, the determining results in a floor-level bounding line; sensing furniture depicted on the floor by applying the floor-level bounding line, the CAD vector-image, and the text database to machine-learning algorithms, the sensing results in a plurality of furniture entities and associated location information; identifying each room depicted in the CAD drawing, the identifying results in a plurality of room outlines; and creating an indoor map for the floor by combining the plurality of furniture entities and associated location information with the plurality of room outlines.

Abstract: Automating conversion of drawings to indoor maps and plans. One example is a computer-implemented method of creating an indoor map from a CAD drawing, the method comprising: preprocessing an original CAD drawing to create a modified CAD drawing, a text database containing text from the original CAD drawing, a CAD vector-image of the modified CAD drawing, and a CAD raster-image of the modified CAD drawing; creating a floor-level outline; sensing furniture depicted on the floor, the sensing creates set of furniture entities; identifying a room depicted in the CAD drawing; and creating the indoor map for a floor using the floor-level outline, the room-level outline and the room identity.