A Novel Multimodal Feature-Level Fusion Scheme for High-Accurate Indoor Localization

Smartphone-based indoor localization has been widely explored to meet the demand for high-precision, cost-effective solutions within indoor positioning systems. Prior methodologies have predominantly concentrated on enhancing the localization accuracy inherent in single-sensor-based localization, th...

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Veröffentlicht in:	IEEE sensors journal 2024-06, Vol.24 (12), p.19636-19646
Hauptverfasser:	Tang, Siyu, Huang, Kaixuan, Zhang, Shunqing
Format:	Artikel
Sprache:	eng
Schlagworte:	Cameras Cramér–Rao lower bound (CRLB) Feature extraction feature-level fusion indoor localization Localization Location awareness multimodal data Optimization Sensors Smartphones System effectiveness Visualization Wireless fidelity
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