Ming Ju Lin
Papers
1
Total Citations
2
H-Index
1
About
Ming Ju Lin is a researcher whose work addresses fundamental challenges in visual simultaneous localization and mapping (SLAM), particularly the limitations imposed by conventional pinhole cameras. Their key research area centers on improving camera pose estimation accuracy and system stability through innovative sensor configurations. Lin’s most notable contribution, detailed in the 2019 paper "A Visual SLAM System Based on the Panoramic Camera," proposes a novel algorithm that leverages panoramic imaging to overcome the narrow field-of-view constraints that degrade traditional SLAM performance. By expanding the visual input, Lin’s approach enables more robust and precise pose tracking in complex environments. This work has garnered 2 citations, reflecting its specialized yet foundational role in advancing panoramic SLAM methodologies. Lin’s research is particularly valuable for applications in robotics, autonomous navigation, and augmented reality, where reliable spatial awareness is critical. Through this focused contribution, Ming Ju Lin has provided a clear pathway for integrating wide-angle optics into SLAM systems, offering a practical solution to a persistent problem in computer vision and robotics.
Research Focus
Key Achievements
Top Papers
- 1A Visual SLAM System Based on the Panoramic Camera2 citations · 2019