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Toward location-enabled IoT (LE-IoT): IoT positioning techniques, error sources, and error mitigation
Localization techniques are becoming key to add location context to the Internet-of-Things
(IoT) data without human perception and intervention. Meanwhile, the newly emerged low …
(IoT) data without human perception and intervention. Meanwhile, the newly emerged low …
Comprehensive analysis of distance and similarity measures for Wi-Fi fingerprinting indoor positioning systems
Recent advances in indoor positioning systems led to a business interest in those
applications and services where a precise localization is crucial. Wi-Fi fingerprinting based …
applications and services where a precise localization is crucial. Wi-Fi fingerprinting based …
Robust pedestrian dead reckoning based on MEMS-IMU for smartphones
J Kuang, X Niu, X Chen - Sensors, 2018 - mdpi.com
This paper proposes a pedestrian dead reckoning (PDR) algorithm based on the strap-down
inertial navigation system (SINS) using the gyros, accelerometers, and magnetometers on …
inertial navigation system (SINS) using the gyros, accelerometers, and magnetometers on …
An improved inertial/wifi/magnetic fusion structure for indoor navigation
This paper proposes a dead-reckoning (DR)/WiFi fingerprinting/magnetic matching (MM)
integration structure that uses off-the-shelf sensors in consumer portable devices and …
integration structure that uses off-the-shelf sensors in consumer portable devices and …
Tightly-coupled integration of WiFi and MEMS sensors on handheld devices for indoor pedestrian navigation
The need for indoor pedestrian navigators is quickly increasing in various applications over
the last few years. However, indoor navigation still faces many challenges and practical …
the last few years. However, indoor navigation still faces many challenges and practical …
Indoor positioning based on pedestrian dead reckoning and magnetic field matching for smartphones
This paper presents an ambient magnetic field map-based matching (MM) positioning
algorithm for smartphones in an indoor environment. To improve the low distinguishability of …
algorithm for smartphones in an indoor environment. To improve the low distinguishability of …