Papers
2
Total Citations
7
H-Index
2
About
Ce Li is a pioneering researcher in intelligent infrastructure inspection, specializing in computer vision and robotic systems for underground pipeline maintenance. Her work addresses critical challenges in urban drainage system security through innovative image processing and 3D reconstruction techniques. Li's most influential contribution is the development of a pipeline image haze removal system using dark channel prior on cloud processing platforms (2020, 5 citations), which dramatically improves image clarity in the challenging dark, foggy, and water-laden environments typical of sewer systems—a fundamental advancement for pipeline fault detection. More recently, her 2023 work on Pipeline Inner Surface 3D Reconstruction and Depth Prediction based on Fast-MVSNet (2 citations) represents a breakthrough in intelligent sewer robot vision, transforming traditional 2D monocular CCTV footage into detailed 3D models with depth information, enabling precise localization and comprehensive structural assessment. This research directly addresses the critical limitation of conventional inspection methods that provide only simple 2D images without spatial context. Li's work is foundational for developing autonomous pipeline robots capable of real-time, accurate infrastructure assessment, with significant implications for urban maintenance and public safety.
Research Focus
Key Achievements
Top Papers
- 1
- 2