Jiangli Li
Papers
1
Total Citations
4
H-Index
1
About
Dr. Jiangli Li is a researcher at the forefront of intelligent infrastructure monitoring, specializing in the integration of mobile robotics, deep learning, and computer vision for automated road inspection. Her most-cited work, "Road Crack Acquisition and Analysis System Based on Mobile Robot and Deep Learning" (2021), introduces a pioneering system that combines a virtual reality-controlled omnidirectional robot with advanced deep learning algorithms to remotely capture and analyze road crack images. This contribution addresses a critical need for safer, more efficient infrastructure maintenance by replacing manual inspection with automated, high-precision data collection. With 4 citations, this paper has laid important groundwork for smart city applications and non-destructive testing. Dr. Li’s research bridges the gap between robotics and civil engineering, offering scalable solutions for real-world road condition assessment. Her work is particularly notable for its practical deployment of VR technology in field robotics, demonstrating a novel approach to remote sensing. As a rising voice in intelligent transportation systems, Dr. Li continues to drive innovation in automated infrastructure diagnostics, with her findings informing both academic research and industry practices for safer roads.
Research Focus
Key Achievements
Top Papers
- 1