Keng-Ren Lin
Papers
1
Total Citations
11
H-Index
1
About
Keng-Ren Lin is a researcher whose work sits at the intersection of underwater robotics, computer vision, and haptic feedback systems. His primary research focuses on developing advanced 3D depth measurement techniques for challenging underwater environments, with a particular emphasis on Time of Flight (ToF) imaging technology. In his most cited work, "Using a Time of Flight method for underwater 3-dimensional depth measurements and point cloud imaging" (2014, 11 citations), Lin demonstrated how modified commercial ToF depth cameras can produce accurate point cloud images underwater—a critical capability for robotic navigation and haptic feedback in subsea operations. By systematically testing both Structured Light and ToF systems, he established practical methodologies for depth sensing in aquatic conditions, where traditional optical methods often fail. This foundational contribution has implications for autonomous underwater vehicles, marine archaeology, and offshore infrastructure inspection. Lin’s work represents an important step in bridging the gap between terrestrial depth-sensing technologies and the unique challenges of underwater perception, offering practical solutions for real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1