TBM-MSE: A Multi-Engine State Estimation Based on Inertial Enhancement for Tunnel Boring Machines in Perceptually Degraded Roadways
Author:
Affiliation:
1. College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan, China
2. Shanxi Engineering Research Center for Coal Mine Intelligent Equipment, Taiyuan University of Technology, Taiyuan, China
Funder
National Key Research and Development Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10143640.pdf?arnumber=10143640
Reference36 articles.
1. LIMO: Lidar-Monocular Visual Odometry
2. Integrating generic sensor fusion algorithms with sound state representations through encapsulation of manifolds
3. LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
4. Keeping a Good Attitude: A Quaternion-Based Orientation Filter for IMUs and MARGs
5. Towards High-Performance Solid-State-LiDAR-Inertial Odometry and Mapping
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1. Corrections to “TBM-MSE: A Multi-Engine State Estimation Based on Inertial Enhancement for Tunnel Boring Machines in Perceptually Degraded Roadways”;IEEE Access;2024
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