Clusters 3D Real-time Cooperative Positioning Algorithm in Underground Mines-Reference-Cited by-同舟云学术

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Clusters 3D Real-time Cooperative Positioning Algorithm in Underground Mines

Published:2022-10-25 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)
language:
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Author:

Zhang Cunle¹,Zhang Yi¹,Tang Chengkai²,Wang Haonan¹,Zhang Jiaming³,Li Haobo¹

Affiliation:

1. Northwestern Polytechnical University,School of Electronics and Information,Xi’an,China

2. Northwestern Polytechnical University,School of Marine Science and Technology,Xi’an,China

3. Northwestern Polytechnical University,School of Software,Xi’an,China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9984156/9984215/09984540.pdf?arnumber=9984540

Reference15 articles.

1. Factor-Graph-Aided Three-Dimensional Faster Cooperative Positioning Algorithm

2. A Multi - platform Cooperative Localization Method Based on Dead Reckoning and Particle Filtering

3. Prediction of Indoor Wireless Coverage from 3D Floor Plans Using Deep Convolutional Neural Networks

4. Weighted Factor Graph aided Distributed Cooperative Position Algorithm

5. Design and Analysis of 10 MW HTS Double-Stator Flux-Modulation Generator for Wind Turbine

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