A Novel Deep Learning Approach to 5G CSI/Geomagnetism/VIO Fused Indoor Localization.

Yang, Chaoyong; Cheng, Zhenhao; Jia, Xiaoxue; Zhang, Letian; Li, Linyang; Zhao, Dongqing

Yang, Chaoyong; Cheng, Zhenhao; Jia, Xiaoxue; Zhang, Letian; Li, Linyang; Zhao, Dongqing.

Afiliación

Yang C; Institute of Geospatial Information, Information Engineering University, Zhengzhou 450001, China.
Cheng Z; Institute of Geospatial Information, Information Engineering University, Zhengzhou 450001, China.
Jia X; Institute of Geospatial Information, Information Engineering University, Zhengzhou 450001, China.
Zhang L; Institute of Geospatial Information, Information Engineering University, Zhengzhou 450001, China.
Li L; Institute of Geospatial Information, Information Engineering University, Zhengzhou 450001, China.
Zhao D; Institute of Geospatial Information, Information Engineering University, Zhengzhou 450001, China.

Sensors (Basel) ; 23(3)2023 Jan 23.

Article en En | MEDLINE | ID: mdl-36772350

Palabras clave

CSI; error state extended Kalman filter (ES-EKF); geomagnetism; indoor localization; visual inertial odometry (VIO)

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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