Phong Nguyen-Ha
Papers
1
Total Citations
71
H-Index
1
About
Phong Nguyen-Ha is a leading researcher in autonomous systems and computer vision, with a particular focus on enabling robust drone navigation and landing capabilities. His most cited work, "LightDenseYOLO: A Fast and Accurate Marker Tracker for Autonomous UAV Landing by Visible Light Camera Sensor on Drone" (2018, 71 citations), addresses the critical challenge of autonomous UAV landing by developing a lightweight, real-time marker detection algorithm. This contribution significantly advances the field by demonstrating how a single visible-light camera sensor can replace complex, multi-sensor arrays (like GPS and IMU) for precise landing, making autonomous drone operations more accessible and reliable. Nguyen-Ha's research bridges the gap between deep learning efficiency and practical robotics, achieving high accuracy without sacrificing computational speed—a key requirement for resource-constrained drones. His work has been widely cited by researchers in robotics, computer vision, and unmanned systems, underscoring its impact on both academic theory and real-world applications. Through his innovative approach to sensor fusion and object detection, Nguyen-Ha continues to shape the future of autonomous aerial robotics.
Research Focus
Key Achievements
Top Papers
- 1