Indoor Positioning Based on Fingerprint-Image and Deep Learning
Wi-Fi and magnetic field fingerprinting have been a hot topic in indoor positioning researches because of their ubiquity and location-related features. Wi-Fi signals can provide rough initial positions, and magnetic fields can further improve the positioning accuracies, therefore many researchers ha...
Main Authors: | Wenhua Shao, Haiyong Luo, Fang Zhao, Yan Ma, Zhongliang Zhao, Antonino Crivello |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2018-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8554268/ |
Similar Items
-
A Wavelet Scattering Feature Extraction Approach for Deep Neural Network Based Indoor Fingerprinting Localization
by: Bedionita Soro, et al.
Published: (2019-04-01) -
Novel integrated matching algorithm using a deep learning algorithm for Wi-Fi fingerprint-positioning technique in the indoors-IoT era
by: Safar Maghdid Asaad, et al.
Published: (2023-05-01) -
Fingerprinting database development methods for reconfigurable intelligent surface assisted indoor positioning system
by: Javed, Aisha, et al.
Published: (2024) -
CSWS—Suppress confusion subregion in indoor image fingerprint localization
by: Wen Liu, et al.
Published: (2023-06-01) -
An Indoor Smart Parking Algorithm Based on Fingerprinting
by: Silvia Stranieri
Published: (2022-06-01)