Dejin Zhang
Papers
3
Total Citations
82
H-Index
3
About
Dr. Dejin Zhang is a leading researcher in intelligent infrastructure inspection, specializing in robotics, computer vision, and sensor fusion for civil engineering applications. His work focuses on automating the detection, localization, and 3D reconstruction of defects in critical infrastructure, such as sewer systems and dams. Dr. Zhang’s major contributions include developing a sewer defect instance segmentation and 3D reconstruction method for floating capsule robots, which enables precise, non-destructive inspection of underground pipelines—a paper that has garnered 48 citations. He also pioneered a high-precision flexible pipeline measurement system for monitoring internal deformation in earth-rockfill dams, cited 30 times for its impact on dam safety. Additionally, his work on rapid concrete floor flatness inspection using a wheeled robot with aided inertial navigation systems addresses the inefficiencies of traditional methods, offering a scalable solution for large-area quality assessment. Dr. Zhang’s innovative integration of robotics and sensing technologies is advancing the field of automated infrastructure health monitoring, with his research widely recognized for its practical applications in enhancing safety and efficiency.
Research Focus
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Top Papers
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