3DIO: Low-Drift 3D Deep-Inertial Odometry for Indoor Localization Using an IMU

The use of mobile devices for indoor localization has proven to be a convenient solution for pedestrians in Internet of Things (IoT) applications. Radiofrequency (RF) signals, including Wi-Fi, Bluetooth, and others, are among the most commonly used sources. However, their availability cannot be guar...

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Veröffentlicht in:	IEEE internet of things journal 2024-12, p.1-1
Hauptverfasser:	Bai, Shiyu, Wen, Weisong, Shi, Chuang
Format:	Artikel
Sprache:	eng
Schlagworte:	3D space Accuracy deep learning Indoor localization inertial measurement unit Inertial navigation inertial odometry Internet of Things invariant extended Kalman filter Kalman filters Legged locomotion Location awareness Odometry Pedestrians State estimation Three-dimensional displays
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