Locating multiple camera sensors and wireless access points for a Generalized Indoor Positioning System

This work deals with the generalization of a previously developed Indoor positioning system (IPS), for estimating the location of people, based on the combination of WiFi Positioning System (WPS) and depth maps. This generalization will allow using the system in scenarios where there are multiple rooms and several people, instead of only one room with one set of sensor devices as in the initial version. The combination of both technologies improves the efficiency of existing methods, based uniquely on wireless positioning techniques, for estimating the location of people. Users just require the use of smart-phones, besides the installation of RGB-D sensors in the sensing area. But some problems arise when multiple RGB-D sensors and access points must be located in a large area composed of several rooms. The paper exposes how the necessary devices are placed minimizing the total uncovered area. The previous developed IPS is used with this placement. Experimental results for an office space composed by nine different sized rooms are shown.