Optimization of Visible Light Positioning in Industrial Applications using Machine Learning
Author:
Affiliation:
1. Manchester Metropolitan University,School of Engineering,Manchester,United Kingdom
2. Santiago de Chile University,Department of Electrical Engineering,Santiago,Chile
3. Universidad de Chile,Department of Electrical Engineering,Santiago,Chile
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10347556/10347539/10347641.pdf?arnumber=10347641
Reference19 articles.
1. SecAuthUAV: A Novel Authentication Scheme for UAV-Ground Station and UAV-UAV Communication
2. An experimental evaluation of a 3D visible light positioning system in an industrial environment with receiver tilt and multipath reflections
3. A Survey of Indoor and Outdoor UAV-Based Target Tracking Systems: Current Status, Challenges, Technologies, and Future Directions
4. Development of an indoor guidance system for unmanned aerial vehicles with power industry applications
5. Machine Learning Based Visible Light Indoor Positioning With Single-LED and Single Rotatable Photo Detector
Cited by 2 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. Machine Learning-Based Channel Allocation for Secure Indoor Visible Light Communications;2024 14th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP);2024-07-17
2. A Visible Light Positioning Technique Based on Artificial Neural Network;Journal of Control, Automation and Electrical Systems;2024-05-27
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