MeshMap: A Magnetic Field-Based Indoor Navigation System With Crowdsourcing Support
نویسندگان
چکیده
منابع مشابه
A Robust Crowdsourcing-Based Indoor Localization System
WiFi fingerprinting-based indoor localization has been widely used due to its simplicity and can be implemented on the smartphones. The major drawback of WiFi fingerprinting is that the radio map construction is very labor-intensive and time-consuming. Another drawback of WiFi fingerprinting is the Received Signal Strength (RSS) variance problem, caused by environmental changes and device diver...
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In the indoor environment, variation of the magnetic field is caused by building structures, and magnetic field map navigation is based on this feature. In order to estimate position using this navigation, a three-axis magnetic field must be measured at every point to build a magnetic field map. After the magnetic field map is obtained, the position of the mobile robot can be estimated with a l...
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Though outdoor navigation has been used for a long time, indoor navigation has not yet been put into practice. Recent works based on geomagnetic information require a user to follow the exact path of previous users, which limits its applicability. Meanwhile, the optimal navigation path may not be provided given a large number of paths with different sources and destinations. We present MeshMap,...
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Many smart devices like smart phone and tablet nowadays are featured for hybrid sensor platform of GPS chip, inertial sensor(s), magnetic compass and other gadgets such as camera and Wi-Fi. The interest to apply those smart devices for indoor navigation is growing since a large variety of sensors on such devices enable hybrid location solutions to not only improve the availability of indoor pos...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.2974901