Abstract
With the widespread development of location-based services, the demand for accurate indoor positioning is getting more and more urgent. Floor positioning, as a prerequisite for indoor positioning in multi-story buildings, is particularly important. Though lots of work has been done on floor positioning, the existing studies on floor positioning in complex multi-story buildings with large hollow areas through multiple floors still cannot meet the application requirements because of low accuracy and robustness. To obtain accurate and robust floor estimation in complex multi-story buildings, we propose a novel floor positioning method, which combines the Wi-Fi based floor positioning (BWFP), the barometric pressure-based floor positioning (BPFP) with HMM and the XGBoost based user motion detection. Extensive experiments show that using our proposed method can achieve 99.2% accuracy, which outperforms other state-of-the-art floor estimation methods.
Highlights
More and more huge multi-story buildings have mushroomed, such as gymnasiums, super malls, convention centers, etc
We combine BWFP with BPFP, and further use Hidden Markov Model (HMM) to filter out occasional floor estimation errors
We have proposed a multi-mode fusion floor positioning architecture, which embraces the BWFP method using XGBoost, BWFP augmentation with BPFP using HMM, and motion detection
Summary
More and more huge multi-story buildings have mushroomed, such as gymnasiums, super malls, convention centers, etc. To promote security supervision levels and facilitate the movement of people around complex indoor environments, accurate indoor positioning is getting more and more urgent. When an earthquake or fire occurs various complex indoor environmental factors, e.g., smoke and rubble, can increase rescue difficulties dramatically [1]. In this emergency case, indoor positioning can help rescuers plan a safe and reasonable route [2,3,4]. Though there are many studies on indoor positioning, as an important prerequisite for indoor positioning in multi-story buildings, accurate and robust floor positioning remains a big challenge, especially in the multi-story buildings with large complex hollow areas through multiple floors. Floor positioning is useful and plays an important role in indoor localization, which can reduce the location search space, and can improve the positioning accuracy
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