Jiongnan Lou
Papers
1
Total Citations
7
H-Index
1
About
Jiongnan Lou is a rising researcher in the field of visible light positioning (VLP) and intelligent sensing systems. His primary research areas focus on optimizing indoor positioning algorithms, particularly through the integration of camera-based receivers and advanced deep learning techniques. Lou’s most notable contribution is his work on "The Stability Optimization of Indoor Visible 3D Positioning Algorithms Based on Single-Light Imaging Using Attention Mechanism Convolutional Neural Networks," which addresses a critical challenge in VLP: achieving high-precision, low-cost positioning while maintaining stability in dynamic indoor environments. By leveraging attention mechanism convolutional neural networks, his approach enhances the robustness of single-light imaging systems, enabling seamless integration with multimedia devices and robots. This work has garnered early recognition with 7 citations since its 2024 publication, signaling its growing impact in the field. Lou’s research holds promise for advancing applications in robotics, augmented reality, and smart indoor navigation, positioning him as an emerging innovator in the intersection of optical wireless communication and artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1