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Indoor navigation: State of the art and future trends
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
D Feng, C Wang, C He, Y Zhuang… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
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
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 …