Christian Fragner

Joanneum Research

Papers

1

Total Citations

16

H-Index

1

About

Christian Fragner is a researcher at the forefront of visible light positioning (VLP) and intelligent sensing systems, with a particular focus on industrial automation. His most cited work, "LEDPOS: Indoor Visible Light Positioning Based on LED as Sensor and Machine Learning" (2024, 16 citations), introduces a novel approach that repurposes standard LED lighting as both a light source and a sensor for accurate indoor positioning. This breakthrough addresses the growing need for reliable localization in highly automated environments, such as factories and warehouses where robots operate. By integrating machine learning into the LED-based sensing framework, Fragner’s system achieves high precision without requiring additional hardware, making it cost-effective and scalable. His contributions are particularly significant as industries increasingly adopt LED lighting and seek seamless, energy-efficient solutions for real-time tracking and navigation. Fragner’s work bridges the gap between optical communication and artificial intelligence, offering a practical pathway toward smarter, more autonomous industrial spaces. With his innovative fusion of hardware and software, he is shaping the future of indoor positioning systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
16
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
LEDPOS: Indoor Visible Light Positioning Based on LED as Sensor and Machine Learning
16 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Joanneum Research

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago