PVP-3D: 3D Point Cloud Dataset for Structural Health Monitoring of Photovoltaic Poles 机器收录·待核验

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The PVP-3D dataset contains 3D point clouds of support piles used in photovoltaic (PV) panel installations, acquired using aerial LiDAR sensing technology in real-world environments. The raw data was acquired with DJI Zenmusse L2 LiDAR sensor at approximately 20 meters above ground level (AGL), varying scanning modes and return settings, including dual-mesh coverage (north–south and east–west) to ensure comprehensive spatial sampling. Each point cloud is processed to remove noise, filter ground points, and standardize individual samples. The data is stored in Object File Format (OFF) and represents the 3D geometry of a single pile using Cartesian coordinates (X, Y, Z) with around 3,367 points. The dataset comprises 5,400 samples divided into three structural classes: normal, inclined, and twisted, corresponding to different geometric conditions of the piles.

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落地页

https://zenodo.org/records/19048693

许可证

CC-BY-4.0 (置信:verified_official)

发布年份

2026

发布方

Zenodo

分发点