A Hybrid Approach to Indoor Sensor Area Localization and Coverage

Abstract

This study presents a hybrid approach to indoor object detection and tracking. A test area is partitioned into regions that are covered by sensors placed on the ceilings. The region location of an object is determined by these sensors using RSSI. The region determination is then followed by the exact localization of the object within the region using Building Information Modeling (BIM) and the 3D stereo image measurements. To determine the coverage ratio of a region for better placement of sensors, the 3D space is partitioned into 2D planes whose coverage points are determined by a newly developed software product called LOCOPac. Other than indoor localization, some simulation results of sensor distribution algorithms that are more suitable for outdoor applications will also be presented. Based on the experimental and simulation results, the proposed approach to indoor localization and LOCOPac has the potential to be used for real world applications.