Ruihao Liu
Papers
1
Total Citations
17
H-Index
1
About
Ruihao Liu is a leading researcher in intelligent infrastructure monitoring and robotic perception, with a primary focus on advancing defect detection and 3D reconstruction for urban underground systems. His most cited work, "Defect Detection and 3D Reconstruction of Complex Urban Underground Pipeline Scenes for Sewer Robots" (2024, 17 citations), tackles the critical challenge of efficiently identifying structural damage in complex sewer environments. Liu’s key contribution lies in developing lightweight, resource-efficient models that overcome the high computational demands of traditional image-based detection systems, enabling real-time, detailed damage assessment without sacrificing accuracy. By integrating 3D reconstruction with defect detection, his research provides comprehensive spatial information about pipeline degradation, significantly improving the reliability of urban infrastructure health monitoring. This work has direct implications for reducing maintenance costs and preventing catastrophic failures in aging underground networks. Liu’s innovative approach to balancing model complexity with practical deployability marks him as a rising authority in the intersection of robotics, computer vision, and civil infrastructure, with his methods poised to influence next-generation autonomous inspection systems.
Research Focus
Key Achievements
Top Papers
- 1