3 papers
cs.CV2026
PQTNet: Pixel-wise Quantitative Thermography Neural Network for Estimating Defect Depth in Polylactic Acid Parts by Additive Manufacturing
Lei Deng, Wenhao Huang, Chao Yang +3
Defect depth quantification in additively manufactured (AM) components remains a significant challenge for non-destructive testing (NDT). This study proposes a Pixel-wise Quantitat…
cs.RO2026
Multimodal Signal Processing For Thermo-Visible-Lidar Fusion In Real-time 3D Semantic Mapping
Jiajun Sun, Yangyi Ou, Haoyuan Zheng +2
In complex environments, autonomous robot navigation and environmental perception pose higher requirements for SLAM technology. This paper presents a novel method for semantically…
cs.CV2026
Thermo-LIO: A Novel Multi-Sensor Integrated System for Structural Health Monitoring
Chao Yang, Haoyuan Zheng, Yue Ma
Traditional two-dimensional thermography, despite being non-invasive and useful for defect detection in the construction field, is limited in effectively assessing complex geometri…