INFRASTRUCTURE CHARACTERISTICS BASED MOBILE DEVICE NAVIGATION
A method and system of infrastructure based mobile device navigation of an indoor area. The method, executed in a processor of a server computing device, comprises classifying, responsive to accessing an infrastructure map of the indoor area, the indoor area into a first and an at least a second infrastructure regions; localizing a mobile device within the first infrastructure region in accordance with a first positioning algorithm; and switching, responsive to identifying the mobile device within the at least a second infrastructure region, from the first positioning algorithm to an at least a second positioning algorithm as basis for localizing the mobile device.
1 . A method for infrastructure based mobile device navigation in an indoor area, the method executed in a processor of a server computing device and comprising:
classifying, responsive to accessing an infrastructure map of the indoor area, the indoor area into a first and an at least a second infrastructure regions;
localizing a mobile device within the first infrastructure region in accordance with a first positioning algorithm; and
switching, responsive to identifying the mobile device within the at least a second infrastructure region, from the first positioning algorithm to an at least a second positioning algorithm as basis for localizing the mobile device.
2 . The method of claim 1 wherein the first infrastructure region comprises one of a hallway, a corridor, a passageway, and a laterally restricted pathway.
3 . The method of claim 2 wherein the first positioning algorithm is based primarily on a magnetic fingerprint map that comprises a magnetic field measurement at respective ones of a plurality of locations within the indoor area, and wherein the magnetic field measurement is at least one of a magnetic field strength, a magnetic direction and a magnetic dip angle.
4 . The method of claim 3 wherein the at least a second infrastructure region comprises one of a hall and a dimensionally unrestrictive area.
5 . The method of claim 4 wherein the at least a second positioning algorithm is based primarily on a received signal strength (RSS) fingerprint map that comprises a RSS measurement at respective ones of a plurality of locations within the indoor area.
6 . The method of claim 5 wherein the first positioning algorithm comprises an increased weighting of the magnetic fingerprint map relative to the RSS fingerprint map.
7 . The method of claim 5 wherein the at least a second positioning algorithm comprises an increased weighting of the RSS fingerprint map relative to the magnetic fingerprint map.
8 . The method of claim 7 wherein the infrastructure map of the indoor area comprises a floor layout of the indoor area that delineates at least one of a wall, a pedestrian path, a corridor, a room, a building access doorway, an elevator, an escalator and an assembly area.
9 . The method of claim 8 wherein the floor layout comprises a multi-floor layout.
10 . The method of claim 1 wherein the switching comprises, as basis for localizing the mobile device within the indoor area, terminating the first positioning algorithm and initiating the at least a second positioning algorithm.
11 . A server computing system for deploying a calibrated positioning map of an area, the server system comprising:
a processor;
a memory storing a set of instructions, the instructions executable in the processor to:
classify, responsive to accessing an infrastructure map of the indoor area, the indoor area into a first and an at least a second infrastructure regions;
localize a mobile device within the first infrastructure region in accordance with a first positioning algorithm; and
switch, responsive to identifying the mobile device within the at least a second infrastructure region, from the first positioning algorithm to an at least a second positioning algorithm as basis for localizing the mobile device.
12 . The system of claim 11 wherein the first infrastructure region comprises one of a hallway, a corridor, a passageway, and a laterally restricted pathway.
13 . The system of claim 12 wherein the first positioning algorithm is based primarily on a magnetic fingerprint map that comprises a magnetic field measurement at respective ones of a plurality of locations within the indoor area, and wherein the magnetic field measurement is at least one of a magnetic field strength, a magnetic direction and a magnetic dip angle.
14 . The system of claim 13 wherein the at least a second infrastructure region comprises one of a hall and a dimensionally unrestrictive area.
15 . The system of claim 14 wherein the at least a second positioning algorithm is based primarily on a received signal strength (RSS) fingerprint map that comprises a RSS measurement at respective ones of a plurality of locations within the indoor area.
16 . The method of claim 15 wherein the first positioning algorithm comprises an increased weighting of the magnetic fingerprint map relative to the RSS fingerprint map.
17 . The system of claim 15 wherein the at least a second positioning algorithm comprises an increased weighting of the RSS fingerprint map relative to the magnetic fingerprint map.
18 . The system of claim 17 wherein the infrastructure map of the indoor area comprises a floor layout of the indoor area that delineates at least one of a wall, a pedestrian path, a corridor, a room, a building access doorway, an elevator, an escalator and an assembly area.
19 . The system of claim 18 wherein the floor layout comprises a multi-floor layout.
20 . The system of claim 11 wherein the switching comprises, as basis for localizing the mobile device within the indoor area, terminating the first positioning algorithm and initiating the at least a second positioning algorithm.