Neural Network Fingerprinting and GNSS Data Fusion for Improved Localization in 5G-Reference-Cited by-同舟云学术

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Neural Network Fingerprinting and GNSS Data Fusion for Improved Localization in 5G

Published:2021-06-01 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Localization and GNSS (ICL-GNSS)
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Author:

Klus Roman,Talvitie Jukka,Valkama Mikko

Funder

Academy of Finland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9452123/9452191/09452245.pdf?arnumber=9452245

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Graph-Based vs. Error State Kalman Filter-Based Fusion of 5G and Inertial Data for MAV Indoor Pose Estimation;Journal of Intelligent & Robotic Systems;2024-06-07

2. 5G Networks Enabling Cooperative Autonomous Vehicle Localization: A Survey;IEEE Transactions on Intelligent Transportation Systems;2024

3. Achieving Sub-meter Accuracy for 5G Localization at FR1 Bandwidth Limitations;2023 33rd International Telecommunication Networks and Applications Conference;2023-11-29

4. Information Fusion for 5G IoT: An Improved 3D Localisation Approach Using K-DNN and Multi-Layered Hybrid Radiomap;Electronics;2023-10-05

5. Pose Graph Optimization for a MAV Indoor Localization Fusing 5GNR TOA with an IMU;2023 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN);2023-09-25

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