Towards a Hybrid Indoor Positioning and Navigation System
Abstract
We propose a Hybrid Indoor Positioning and Navigation System (HIPNS), based on Li-Fi (Light-Fidelity) localization and optical camera positioning analyses deployed in an indoor environment. The localization approach is based on the fuse of two positioning strategies where the camera-based part is responsible for localizing individuals and recovering their trajectories in zones with low coverage of Li-Fi LEDs. A third-party element is planned to operate in the event of loss of contact. Step detection technique and heading estimation are used in a smartphone indoor localization application between two referenced points. The main contribution of this research work focuses on the integration of heterogeneous data, algorithms, and methods from different spheres of application.
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