Papers
3
Total Citations
29
H-Index
3
About
Hongyang Liang is a rising researcher in autonomous construction machinery, specializing in human–robot interaction, environmental perception, and multi-sensor fusion for earthmoving equipment. His work addresses critical challenges in deploying autonomous systems in harsh, unstructured construction environments. Liang’s most-cited paper, "Dynamic gesture recognition during human–robot interaction in autonomous earthmoving machinery" (2025, 11 citations), introduces novel methods for safe and intuitive operator communication with heavy machinery. He further advanced environmental perception with the "Improved RefineDNet algorithm" (2023, 11 citations), enabling robust object detection under haze and fugitive dust—common conditions that degrade sensor performance. His recent "Improved BOTSORT multi-object tracking algorithm" (2025, 7 citations) achieves feature-level fusion of millimeter-wave radar and camera data, significantly enhancing tracking reliability for robotic rollers. Collectively, these contributions have earned Liang 29 citations across his top papers, demonstrating growing influence in the niche but vital field of autonomous construction. His work directly supports safer, more efficient earthmoving operations, bridging the gap between laboratory research and real-world deployment.
Research Focus
Key Achievements
Top Papers
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