MagPP: Combining Particle Filters and Pedestrian Dead Reckoning Algorithm with Geomagnetism for Indoor Positioning Using Smartphone
نویسندگان
چکیده
منابع مشابه
An Evaluation of Infrastructure-free and Infrastructure-based Indoor Positioning Methods with the Focus on Pedestrian Dead Reckoning
The expansion of location-based services (LBS) and their applications has led to a growing interest in localization, which can be done on the smartphone platform. Various positioning techniques can be used for indoor or outdoor positioning. Indoor positioning systems have been one of the most challenging technologies in location-based services over the past decade. Considering the increase of p...
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The demand for navigating pedestrian by using a hand-held mobile device increased remarkably over the past few years, especially in GPS-denied scenario. We propose a new pedestrian dead reckoning (PDR)-based navigation algorithm by using magnetic, angular rate, and gravity (MARG) sensors which are equipped in existing commercial smartphone. Our proposed navigation algorithm consists of step det...
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We introduce a wearable pedestrian indoor localization system with dynamic position correction. The system uniquely combines dead reckoning and fiducial marker-based localization schemes, exclusively using widely available, low end and low power consumer hardware components. The proposed system was tested with various walking patterns inside a building, achieving an indoor positioning accuracy ...
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The paper presents a hybrid indoor positioning solution based on a pedestrian dead reckoning (PDR) approach using built-in sensors on a smartphone. To address the challenges of flexible and complex contexts of carrying a phone while walking, a robust step detection algorithm based on motion-awareness has been proposed. Given the fact that step length is influenced by different motion states, an...
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ژورنال
عنوان ژورنال: Sensors and Materials
سال: 2019
ISSN: 0914-4935
DOI: 10.18494/sam.2019.2460