Hieu Dang Van
Papers
2
Total Citations
11
H-Index
2
About
Hieu Dang Van is a rising researcher in autonomous robotics, specializing in exploration, 3D mapping, and sensor fusion for aerial and ground robots. His work addresses critical challenges in real-time navigation and environmental perception. In his highly cited 2023 paper, he introduced an enhanced sampling-based exploration method with a modified next-best view strategy, significantly improving the efficiency of autonomous exploration for Unmanned Aerial Vehicles (UAVs) and Micro Aerial Vehicles (MAVs) in 3D outdoor environments. This work, garnering 6 citations, optimizes both destination planning and path utility. Complementing this, his 2023 study on sensor fusion for indoor 3D mapping achieved 5 citations by accelerating the implementation speed and accuracy of the RTAB-Map algorithm, tackling real-time embedding issues and positioning errors. Together, these contributions demonstrate his impact on advancing autonomous navigation systems. Hieu’s research is pivotal for applications in robotics, from industrial inspection to search-and-rescue, marking him as a promising innovator in the field.
Research Focus
Key Achievements
Top Papers
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