Indoor Localization by Kalman Filter based Combining of UWB-Positioning and PDR-Reference-Cited by-同舟云学术

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Indoor Localization by Kalman Filter based Combining of UWB-Positioning and PDR

Published:2021-01-09 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC)
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Author:

Lee Gang Toe,Seo Seung Beom,Jeon Wha Sook

Funder

National Research Foundation of Korea (NRF) through the Ministry of Science and ICT (MSIT) of Korea Government

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9369428/9369448/09369588.pdf?arnumber=9369588

Cited by 24 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. Enhanced Indoor Positioning System Using Ultra-Wideband Technology and Machine Learning Algorithms for Energy-Efficient Warehouse Management;Energies;2024-08-19

2. Comparative Analysis of Filtering Techniques for AGV Indoor Localization with Ultra-Wideband Technology;Pertanika Journal of Science and Technology;2024-08-15

3. Pedestrain Navigation Using an INS/EKF Framework Aided by UWB Ranging;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

4. Motion Pattern Recognition for Indoor Pedestrian Altitude Estimation Based on Inertial Sensor;IEEE Sensors Journal;2024-03-15

5. FedINS2: A Federated-Edge-Learning-Based Inertial Navigation System With Segment Fusion;IEEE Internet of Things Journal;2024-01-15

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