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Open access Aug 2026

A Structural–Visual Integrated Evaluation Framework for Seismic Damage Assessment of RC Double-Column Piers

The post-earthquake damage state of reinforced concrete (RC) double-column piers directly affects bridge traffic capacity and emergency response efficiency. To improve the interpretability of damage assessment, this study proposes a Structural–Visual Integrated Evaluation (SVIE) framework that combines structural respo...

Zhi-Bing Yu, Zixin Xu, Chao Zhang et al. · 0 citations
Open access Sep 2026

From Detection to Segmentation: Adapting YOLO26 for Surface Crack Delineation

Surface crack delineation plays an important role in infrastructure inspection because accurate pixel-level mapping of cracks can support condition assessment, maintenance planning, and automated monitoring of roads and other civil surfaces. However, recent crack segmentation methods often depend on heavy network desig...

M. Almustafa, Israa H. Ali · 0 citations
Review Open access 2026

Semantic Segmentation-Based Identification of Seismic-Induced Building Damage by Using UAV Orthophoto

: Due to transportation disruptions after the earthquake, on-site surveys could not quickly assess house damage. Remote sensing can quickly acquire disaster-related information over large-scale affected areas and support rapid localization and morphological identification of damaged buildings from top-view observations...

Hai-Jia Wen, Wan-Ying Zhang, Ying-Qi Zeng et al. · 0 citations
Open access Sep 2026

Vision-Based Structural Health Monitoring of Catenary Components in UAV Inspections via Mask-Guided Asymmetrical Flow

Automated vision-based structural health monitoring (SHM) of catenary support components is critical for ensuring railway operational safety. However, achieving reliable structural damage identification in practical engineering scenarios is hindered by complex environmental and operational variations (EOVs) in aerial i...

Qiao-Lu Wang, Hai-Tao Lan, Tian-Yu Zhou et al. · 0 citations
Open access Sep 2026

Lightweight UAV-based object detection and tracking for intelligent oil and gas field safety monitoring

Continuous, reliable monitoring of geographically dispersed oil and gas production facilities is essential for accident prevention, asset integrity, and regulatory compliance, yet ground-based inspection is labour-intensive and temporally sparse. Unmanned aerial vehicles (UAVs) offer on-demand aerial coverage, but auto...

Jian-Hua Gong, Yi-Fu Wang, Jun Zhang et al. · 0 citations

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