Papers
2
Total Citations
50
H-Index
2
About
Dr. Lili Mu is a leading researcher in mobile robotics and autonomous navigation, with a primary focus on advancing Simultaneous Localization and Mapping (SLAM) technologies for complex, real-world environments. Her most impactful work, "Research on SLAM Algorithm of Mobile Robot Based on the Fusion of 2D LiDAR and Depth Camera" (2020, 47 citations), introduces a novel, graph-based optimization method that fuses data from LiDAR, RGB-D cameras, encoders, and Inertial Measurement Units (IMUs). This multi-sensor fusion approach significantly enhances positioning accuracy and robustness, addressing critical limitations in single-sensor SLAM systems. Building on this foundation, Dr. Mu has extended her research to specialized industrial applications, as demonstrated in her 2023 paper on "Deformation detection of mine tunnel based on VSLAM 3D dense point cloud slice." This work pioneers a non-contact, automated method for detecting tunnel deformations using visual SLAM and dense point cloud analysis, overcoming the flexibility and speed constraints of traditional laser scanning. By integrating theoretical innovation with practical deployment in hazardous environments, Dr. Mu’s contributions are shaping the future of autonomous exploration and structural health monitoring.
Research Focus
Key Achievements
Top Papers
- 1
- 2