MapLoc: LSTM-Based Location Estimation Using Uncertainty Radio Maps-Reference-Cited by-同舟云学术

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MapLoc: LSTM-Based Location Estimation Using Uncertainty Radio Maps

Published:2023-08-01 Issue:15 Volume:10 Page:13474-13488
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Wang Xiangyu¹,Yu Zhitao¹^ORCID,Mao Shiwen²^ORCID,Zhang Jian³^ORCID,Periaswamy Senthilkumar C. G.⁴,Patton Justin⁴

Affiliation:

1. Department of Electrical and Computer Engineering and RFID Lab, Auburn University, Auburn, AL, USA

2. Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA

3. Department of Electrical and Computer Engineering, Kennesaw State University, Kennesaw, GA, USA

4. RFID Lab, Auburn University, Auburn, AL, USA

Funder

NSF

RFID Lab and the Wireless Engineering Research and Education Center at Auburn University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

https://ieeexplore.ieee.org/ielam/6488907/10194321/10083207-aam.pdf

Reference44 articles.

1. Indoor Radio Map Construction and Localization With Deep Gaussian Processes

2. Resource-efficient and Automated Image-based Indoor Localization

3. ResLoc: Deep residual sharing learning for indoor localization with CSI tensors

4. AprilTag: A robust and flexible visual fiducial system

5. Automating WiFi Fingerprinting Based on Nano-Scale Unmanned Aerial Vehicles

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1. Robust indoor localization based on multi-modal information fusion and multi-scale sequential feature extraction;Future Generation Computer Systems;2024-06

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