Tien Sze Lim
Papers
1
Total Citations
4
H-Index
1
About
Tien Sze Lim is a researcher whose work lies at the intersection of computer vision, mobile robotics, and indoor navigation systems. His key contributions focus on developing motion sensing algorithms that enhance the autonomy and precision of wheeled mobile robots in GPS-denied environments. In his most-cited paper, "A computer vision-aided motion sensing algorithm for mobile robot's indoor navigation" (2016, 4 citations), Lim introduced a novel approach using dual vision cameras—one front-facing and one downward-facing—to capture and analyze visual data for real-time motion estimation. This design allows robots to navigate complex indoor spaces with improved accuracy by fusing visual cues from multiple perspectives. While his citation count reflects a niche but growing interest in practical, low-cost navigation solutions, Lim's work is notable for its emphasis on algorithm efficiency and sensor integration, making it relevant for researchers in autonomous systems and assistive robotics. His contributions offer a foundation for future advancements in vision-based robot localization, particularly in settings where traditional GPS is unavailable.
Research Focus
Key Achievements
Top Papers
- 1