Thermo-LIO: A Novel Multi-Sensor Integrated System for Structural Health Monitoring
Chao Yang, Haoyuan Zheng, Yue Ma

TL;DR
Thermo-LIO is a multi-sensor system that combines thermal imaging and LiDAR with odometry to improve structural health monitoring by providing accurate, real-time defect detection over large-scale structures.
Contribution
It introduces a novel multimodal fusion method and integrates it with LiDAR-Inertial Odometry for comprehensive, precise, and real-time structural health monitoring.
Findings
Enhanced defect detection accuracy over traditional methods
Successful case studies on bridges and buildings demonstrating system effectiveness
Improved coverage and diagnostic precision in large-scale SHM
Abstract
Traditional two-dimensional thermography, despite being non-invasive and useful for defect detection in the construction field, is limited in effectively assessing complex geometries, inaccessible areas, and subsurface defects. This paper introduces Thermo-LIO, a novel multi-sensor system that can enhance Structural Health Monitoring (SHM) by fusing thermal imaging with high-resolution LiDAR. To achieve this, the study first develops a multimodal fusion method combining thermal imaging and LiDAR, enabling precise calibration and synchronization of multimodal data streams to create accurate representations of temperature distributions in buildings. Second, it integrates this fusion approach with LiDAR-Inertial Odometry (LIO), enabling full coverage of large-scale structures and allowing for detailed monitoring of temperature variations and defect detection across inspection cycles.…
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Taxonomy
TopicsThermography and Photoacoustic Techniques · 3D Surveying and Cultural Heritage · Structural Health Monitoring Techniques
