Lee Yeng Ong
Papers
1
Total Citations
4
H-Index
1
About
Lee Yeng Ong is a researcher whose work lies at the intersection of computer vision, robotics, and intelligent navigation systems. Her most cited paper, "A computer vision-aided motion sensing algorithm for mobile robot's indoor navigation" (2016), introduces a dual-camera system designed to enhance wheeled mobile robots' ability to navigate complex indoor environments. By employing one front-facing and one downward-facing camera, Ong's algorithm enables more accurate motion sensing and obstacle avoidance, addressing key challenges in autonomous robotics. Though her citation count is modest, her contribution is significant for its practical, low-cost approach to improving robot localization and path planning in GPS-denied settings. Ong's work is particularly relevant for researchers developing assistive, service, or industrial robots that require reliable indoor navigation. Her focus on integrating vision-based sensing with motion algorithms reflects a growing trend toward making robots more autonomous and adaptive in real-world environments. For students and researchers in robotics and computer vision, Ong’s research offers a foundational example of how simple, clever sensor configurations can solve complex navigation problems.
Research Focus
Key Achievements
Top Papers
- 1