Papers
4
Total Citations
14
H-Index
3
About
Haoran Kang is a researcher at the forefront of intelligent construction robotics, specializing in sensor fusion, automated defect detection, and Building Information Modeling (BIM)-driven inspection systems. Their work addresses critical challenges in construction quality assessment by integrating diverse sensing modalities. Kang’s major contributions include developing a high-accuracy hollowness inspection system that fuses ultra-wideband radar with depth cameras, achieving superior detection of subsurface defects in concrete structures. They have also pioneered crack defect detection using improved fully convolutional networks (FCNs) for robotic building inspection, enabling automated, precise identification of surface flaws. Additionally, Kang advanced autonomous inspection through a BIM-integrated robotic simulation system, bridging digital models with physical site monitoring. Their research on automatic extrinsic calibration between structured light cameras and LiDARs further enhances robot perception in complex construction environments. With over 14 citations across their most-cited works, Kang’s innovations are directly applicable to improving construction safety and quality control. Their notable achievements include developing practical, deployable robotic solutions that reduce reliance on manual inspection, marking a significant step toward fully automated building quality assessment.
Research Focus
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