UAV LiDAR bridge point cloud dataset
Description
UAV-LiDAR Bridge Point Cloud Dataset for Semantic Segmentation
📌 Overview
This dataset provides a comprehensive UAV-based LiDAR 3D point cloud collection designed for semantic segmentation research on bridge structures. The data was captured using a DJI Matrice 300 RTK equipped with a Zenmuse L1 LiDAR sensor. It includes raw point clouds and fully annotated structural components to facilitate the development of automated structural health monitoring (SHM) and deep learning models.
📝 Related Publication
This dataset is supplementary to the following article published in Automation in Construction. Please cite this paper if you use the dataset:
🧩 Dataset Description
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Platform: DJI Matrice 300 RTK
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Sensor: DJI Zenmuse L1 LiDAR
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Data format: CloudCompare raw point cloud (.bin) and annotated point cloud (.ply)
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Number of samples: 6 Bridge Datasets
📊 Dataset Composition
The dataset consists of point clouds categorized into five structural classes across six bridge sites.
| Class | Banwol | Palgok | Ssanghak | Wonli | Ipbuk | Seokdap |
| Background | 8,895,556 | 7,771,527 | 6,974,137 | 5,795,047 | 11,083,066 | 6,744,819 |
| Superstructure | 13,412,111 | 6,380,560 | 5,164,051 | 6,277,791 | 13,077,969 | 7,736,190 |
| Column | 152,193 | 462,261 | 566,678 | 135,312 | 225,958 | 245,512 |
| Pier Cap | 572,463 | 755,539 | 542,155 | 316,920 | 1,407,154 | 762,421 |
| Guardrail | 3,237,522 | 1,230,855 | 974,353 | 1,319,601 | 2,190,442 | 1,488,608 |
| Total | 26,269,845 | 16,600,742 | 14,221,374 | 13,844,671 | 27,984,589 | 16,977,550 |
📑 License & Contact
This dataset is released for academic research purposes only.
For questions, please contact: russel4447@skku.edu
Files
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