Menggang Li — accepted AI-conference papers

2025

CM-LIUW-Odometry: Robust and High-Precision LiDAR-Inertial-UWB-Wheel Odometry for Extreme Degradation Coal Mine Tunnels

Kun Hu, Menggang Li, Zhiwen Jin, Chaoquan Tang, Eryi Hu, Gongbo Zhou

IROS 2025

Simultaneous Localization and Mapping (SLAM) in large-scale, complex, and GPS-denied underground coal mine environments presents significant challenges. Sensors must contend with abnormal operating conditions: GPS unavailability impedes scene reconstruction and absolute geographic referencing, uneve

Cited by 1 Source ↗Scholar ↗

2025

LiDAR-IMU Fusion System with Adaptive Scanning for High-Resolution Deformation Monitoring of Underground Infrastructures

Menggang Li, Zhuoqi Li, Kun Hu, Eryi Hu, Chaoquan Tang, Gongbo Zhou

IROS 2025

A LiDAR-IMU fusion system utilizing adaptive scanning is developed for high-resolution deformation monitoring of underground coal mine infrastructure, such as sealed walls. The system integrates data from a LiDAR scanner and an IMU, employing a penalty function-based scanning strategy to optimize po

Cited by 0 Source ↗Scholar ↗