Qiming Qu
Papers
1
Total Citations
15
H-Index
1
About
Dr. Qiming Qu is a leading researcher in intelligent railway infrastructure inspection, specializing in the integration of advanced machine vision and robotics for high-speed rail safety. His most cited work, "Research and Application of the Obstacle Avoidance System for High-Speed Railway Tunnel Lining Inspection Train Based on Integrated 3D LiDAR and 2D Camera Machine Vision Technology" (2023, 15 citations), introduces a groundbreaking obstacle avoidance module for robotic arms on tunnel inspection trains. By fusing ORB-SLAM3 with Normal Distributions Transform (NDT) algorithms, Dr. Qu’s system dramatically enhances collision prevention capabilities, enabling safer, more reliable autonomous inspections in complex tunnel environments. This innovation addresses a critical gap in high-speed rail maintenance, where precise, real-time detection of obstacles is paramount. With a growing citation impact, Dr. Qu’s work is shaping the future of intelligent transportation infrastructure, offering practical solutions that improve operational safety and efficiency. His contributions are essential reading for researchers and engineers advancing autonomous inspection technologies in challenging rail settings.
Research Focus
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Top Papers
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