Truong Dang Khoa
Papers
1
Total Citations
9
H-Index
1
About
Truong Dang Khoa is a researcher at the forefront of socially aware robotics and intelligent transportation systems. His work centers on integrating deep learning with autonomous navigation, particularly through multi-object detection and tracking to enable robots to operate safely and intuitively in human environments. His most cited paper, "Deep Learning-based Multiple Objects Detection and Tracking System for Socially Aware Mobile Robot Navigation Framework" (2018, 9 citations), establishes a foundational system that provides critical perceptual input for robots to understand and respond to dynamic surroundings. Khoa’s contributions extend beyond robotics into smart mobility, where he has developed vision-based methods for vehicle detection and pedestrian counting, addressing real-world challenges in traffic monitoring and urban safety. His research demonstrates a clear trajectory from sensor-level perception to high-level navigation decision-making, bridging computer vision and autonomous systems. With a growing citation record and a focus on socially aware technologies, Khoa is contributing to the next generation of robots and vehicles that can coexist with humans, making his work highly relevant for students and researchers interested in applied AI, human-robot interaction, and intelligent infrastructure.
Research Focus
Key Achievements
Top Papers
- 1