Wenjie Ji
Papers
1
Total Citations
7
H-Index
1
About
Wenjie Ji is a rising researcher in the field of visible light positioning (VLP) and optical wireless communication, with a focus on enhancing the stability and precision of indoor 3D positioning systems. Their most cited work, "The Stability Optimization of Indoor Visible 3D Positioning Algorithms Based on Single-Light Imaging Using Attention Mechanism Convolutional Neural Networks" (2024, 7 citations), introduces a novel approach that leverages attention mechanism convolutional neural networks to optimize positioning algorithms using single-light imaging. This work addresses key challenges in VLP, such as camera pose instability and environmental interference, offering a low-cost, high-precision solution that integrates seamlessly with multimedia devices and robotics. By combining deep learning with optical positioning, Ji’s research pushes the boundaries of indoor navigation technology, making it more robust and practical for real-world applications. Their contributions are particularly valuable for advancing autonomous systems and smart environments, where accurate and stable positioning is critical. With a growing citation impact, Wenjie Ji is establishing themselves as an innovative voice in the intersection of computer vision, neural networks, and optical engineering.
Research Focus
Key Achievements
Top Papers
- 1