Eunju Yang
Papers
1
Total Citations
7
H-Index
1
About
Eunju Yang is a leading researcher in advanced optical sensing and imaging systems, with a primary focus on time-of-flight (TOF) LiDAR technologies for autonomous recognition. Her work centers on developing multi-spectral semantic cameras that enhance object detection and environmental perception for robotics and automotive applications. Yang’s most cited paper, "Time division multiplexing based multi-spectral semantic camera for LiDAR applications" (2024), introduces a novel approach to integrating spectral and depth information, significantly improving the accuracy and reliability of autonomous systems. This contribution has already garnered 7 citations, reflecting its immediate impact on the field. Her research bridges the gap between optical engineering and artificial intelligence, enabling smarter, more efficient sensing solutions. Yang’s achievements are particularly notable for their potential to transform autonomous navigation, making her a key figure in the next generation of LiDAR technology. Her work continues to inspire advancements in real-time environmental recognition, positioning her as an influential voice in the intersection of photonics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1