Thu Hang Khuat
Papers
1
Total Citations
5
H-Index
1
About
Thu Hang Khuat is a researcher specializing in sensor fusion, 3D mapping, and autonomous navigation, with a particular focus on indoor environments and robotics. Her most-cited work, "A Sensor Fusion Approach for Improving Implementation Speed and Accuracy of RTAB-Map Algorithm Based Indoor 3D Mapping" (2023), addresses critical challenges in real-time 3D mapping, such as environmental complexity and robot positioning errors. By enhancing the RTAB-Map algorithm through sensor fusion, she has contributed to more efficient and accurate mapping solutions for autonomous systems. With 5 citations, this paper underscores her impact in advancing practical applications for robotics and navigation. Khuat’s research bridges the gap between theoretical algorithms and real-world implementation, making her work valuable for students and researchers exploring indoor mapping technologies. Her achievements highlight a commitment to improving system robustness and speed, positioning her as a notable contributor to the field of autonomous navigation and sensor integration.
Research Focus
Key Achievements
Top Papers
- 1