Papers
13
Total Citations
137
H-Index
7
About
Van-Dung Hoang is a researcher specializing in autonomous navigation, computer vision, and intelligent systems, with a focus on enabling robust perception and decision-making for mobile robots and unmanned ground vehicles. His major contributions include developing efficient methods for sensor calibration, such as a simple technique for calibrating cameras with 2D laser rangefinders (25 citations), and pioneering path planning approaches that leverage heuristic searching and online road map images for autonomous vehicle navigation (24 and 20 citations, respectively). Hoang has also advanced vision-based guidance, proposing a fuzzy logic system for heading angle estimation in autonomous mobile robots (15 citations), and addressed action recognition for surveillance systems using sequential 2D-CNNs (11 citations). His recent work extends to skeleton-based multi-person action recognition for real-world violence detection (2025). With over 130 total citations across his top-cited papers, Hoang’s research demonstrates a sustained impact on practical robotics and autonomous systems, particularly in resource-limited and real-time applications.
Research Focus
Key Achievements
Top Papers
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- 3Global path planning for unmanned ground vehicle based on road map images20 citations · 2014
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- 6Action Recognition Based on Sequential 2D-CNN for Surveillance Systems11 citations · 2018
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