Leong Jing Chen
Papers
1
Total Citations
14
H-Index
1
About
Leong Jing Chen is a robotics researcher whose work bridges the gap between aerial robots and challenging, GPS-denied environments. His primary research areas include visual-inertial odometry, autonomous navigation, and the deployment of unmanned aerial vehicles (UAVs) in underground and confined spaces. Chen’s most cited work, "Aerial Robots On the Way to Underground: An Experimental Evaluation of VINS-Mono on Visual-Inertial Odometry Camera" (2019, 14 citations), provides a critical benchmark for using visual-inertial systems in subterranean settings—a domain where traditional GPS fails. By rigorously testing VINS-Mono in real-world underground scenarios, he demonstrated how UAVs can maintain accurate localization and stability without external positioning signals. This contribution is foundational for advancing search-and-rescue operations, infrastructure inspection, and autonomous exploration in mines or tunnels. Chen’s research has been well received by the robotics community, offering practical insights into the limitations and potential of low-cost, camera-based odometry. His work continues to inspire students and engineers seeking to push aerial robots into the most inaccessible environments, proving that versatility and cost-effectiveness need not come at the expense of reliability.
Research Focus
Key Achievements
Top Papers
- 1