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Description
Velodyne LiDAR point cloud dataset in PLY format, collected using a Velodyne sensor for a specific study. The dataset is 92.5 MB in size, authored by Anila Johnson, and was last updated on April 28, 2026. It is distributed under a CC-BY 4.0 license.
Use Cases
Develop and test point cloud registration algorithms based on the LiDAR sensor data.
Train object detection models for autonomous vehicles based on the 3D point cloud features.
Benchmark LiDAR-based simultaneous localization and mapping (SLAM) methods based on the sensor data.
Simulate and validate sensor performance in robotic perception pipelines based on the collected point clouds.
Strengths
Data is provided in a standard 3D point cloud format (PLY).
Dataset size is 92.5 MB, making it relatively quick to download and inspect.
License is permissive (CC-BY 4.0) for reuse and modification.
Last update timestamp (2026-04-28) is provided.
Limitations
Description metadata is limited; actual data quality requires manual inspection after download.
Row count and specific spatial or temporal coverage are unknown, which may limit suitability assessment.
Column-level documentation is absent; field semantics must be inferred after download.
Provenance
Source
Anila Johnson via figshare.
Collection Method
Collected using a Velodyne LiDAR sensor.
Time Range
null
Freshness
Last updated 2026-04-28 17:47:58; freshness should be verified.
Geography
null
Data is packaged in a ZIP file; users must have tools to handle PLY format point clouds.