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Indoor navigation: State of the art and future trends
N El-Sheimy, Y Li - Satellite Navigation, 2021 - Springer
This paper reviews the state of the art and future trends of indoor Positioning, Localization,
and Navigation (PLAN). It covers the requirements, the main players, sensors, and …
and Navigation (PLAN). It covers the requirements, the main players, sensors, and …
A survey on fusion-based indoor positioning
Demands for indoor positioning based services (IPS) in commercial and military fields have
spurred many positioning systems and techniques. Complex electromagnetic environments …
spurred many positioning systems and techniques. Complex electromagnetic environments …
[HTML][HTML] Multi-sensor integrated navigation/positioning systems using data fusion: From analytics-based to learning-based approaches
Navigation/positioning systems have become critical to many applications, such as
autonomous driving, Internet of Things (IoT), Unmanned Aerial Vehicle (UAV), and smart …
autonomous driving, Internet of Things (IoT), Unmanned Aerial Vehicle (UAV), and smart …
Kalman-filter-based integration of IMU and UWB for high-accuracy indoor positioning and navigation
The emerging Internet of Things (IoT) applications, such as smart manufacturing and smart
home, lead to a huge demand on the provisioning of low-cost and high-accuracy positioning …
home, lead to a huge demand on the provisioning of low-cost and high-accuracy positioning …
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 …
Kalman filter-based data fusion of Wi-Fi RTT and PDR for indoor localization
The Fine Time Measurement (FTM) protocol introduced by IEEE 802.11 includes a new
ranging method, named Wi-Fi Round Trip Time (Wi-Fi RTT), which can be used for indoor …
ranging method, named Wi-Fi Round Trip Time (Wi-Fi RTT), which can be used for indoor …
Indoor location identification technologies for real-time IoT-based applications: An inclusive survey
G Oguntala, R Abd-Alhameed, S Jones, J Noras… - Computer Science …, 2018 - Elsevier
The advent of the Internet of Things has witnessed tremendous success in the application of
wireless sensor networks and ubiquitous computing for diverse smart-based applications …
wireless sensor networks and ubiquitous computing for diverse smart-based applications …
Inertial/magnetic sensors based pedestrian dead reckoning by means of multi-sensor fusion
The challenges of self-contained sensor based pedestrian dead reckoning (PDR) are mainly
sensor installation errors and path integral errors caused by sensor variance, and both may …
sensor installation errors and path integral errors caused by sensor variance, and both may …
Deep reinforcement learning (DRL): Another perspective for unsupervised wireless localization
Location is key to spatialize Internet of Things (IoT) data. However, it is challenging to use
low-cost IoT devices for robust unsupervised localization (ie, localization without training …
low-cost IoT devices for robust unsupervised localization (ie, localization without training …
Hybrid indoor positioning method of BLE and PDR based on adaptive feedback EKF with low BLE deployment density
X Kong, C Wu, Y You, Y Yuan - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Location-based service (LBS) has gradually penetrated into all aspects of human life. The
current indoor positioning algorithms include triangulation, least squares, fingerprint …
current indoor positioning algorithms include triangulation, least squares, fingerprint …