Indoor Positioning System based on Machine learning
Indoor positioning and navigation has become a more and more interesting application during the recent years. There are many use cases visible in the market e.g. user navigation on airports or in shopping malls, tracking of equipment in hospitals or goods in production plants. Different short range technologies as Bluetooth, WLAN and UWB can be utilized for such positioning systems.
One of the biggest challenges in indoor environments is signal degradation due to multipath propagation and attenuation. Machine Learning / Deep Learning can significantly improve the accuracy and efficiency of these systems compared to classical estimation methods.
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