HIGHLIGHTS
- who: Chaoyong Yang and collaborators from the Institute of Geospatial Information, Information Engineering University, Zhengzhou, China have published the research work: A Novel Deep Learning Approach to 5G CSI/Geomagnetism/VIO Fused Indoor Localization, in the Journal: Sensors 2023, 1311 of /2023/
- what: An error back propagation neural_network (BPNN)-based 5G/geomagnetic fusion localization method is proposed, which can provide reliable global localization results in indoor environments; (b) Based on the least squares principle, the authors solve the transformation parameters of the VIO local positioning results to the global coordinate system, which enables the VIO . . .
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