Deep neural network-based fusion localization using smartphones
Indoor location-based services (LBS) have tremendous practical and social value in intelligent life due to the pervasiveness of smartphones. The magnetic field-based localization method has been an interesting research hotspot because of its temporal stability, ubiquitousness, infrastructure-free na...
Saved in:
Main Authors: | Yan, Suqing, Su, Yalan, Xiao, Jianming, Luo, Xiaonan, Ji, Yuanfa, Kamarul Hawari, Ghazali |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI
2023
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/42854/1/Deep%20neural%20network-based%20fusion%20localization%20using%20smartphones.pdf http://umpir.ump.edu.my/id/eprint/42854/ https://doi.org/10.3390/s23218680 https://doi.org/10.3390/s23218680 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Deep Learning-Based Geomagnetic Navigation Method Integrated with Dead Reckoning
by: Yan, Suqing, et al.
Published: (2023) -
The automatic focus segmentation of multi-focus image fusion
by: Kamarul Hawari, Ghazali, et al.
Published: (2022) -
Multi focus image fusion with region-center based kernel
by: Ismail, ., et al.
Published: (2021) -
The multifocus images fusion based on a generative gradient map
by: Ismail, ., et al.
Published: (2020) -
The normalized random map of gradient for generating multifocus image fusion
by: Ismail, ., et al.
Published: (2020)