Noi Quang Truong
Papers
1
Total Citations
71
H-Index
1
About
Noi Quang Truong is a leading researcher in computer vision and autonomous systems, with a primary focus on enabling precise, sensor-driven navigation for unmanned aerial vehicles (UAVs). His most influential work, "LightDenseYOLO: A Fast and Accurate Marker Tracker for Autonomous UAV Landing by Visible Light Camera Sensor on Drone" (2018, 71 citations), tackles the critical challenge of autonomous drone landing. By developing a lightweight yet highly accurate deep learning-based marker tracker that operates solely on visible light camera data, Truong significantly reduced reliance on expensive or error-prone multi-sensor suites like GPS and IMUs. This contribution directly advances the robustness and accessibility of autonomous landing systems, a key bottleneck in real-world drone deployment. His research elegantly balances computational efficiency with detection accuracy, making it practical for onboard, real-time applications. Through this work, Truong has established himself as a key innovator in vision-based drone control, demonstrating how targeted algorithmic design can solve complex, high-stakes robotics problems while keeping systems simple and cost-effective.
Research Focus
Key Achievements
Top Papers
- 1