How to Clean manually a LiDAR Point Cloud Using CloudCompare
📌 Learn how to clean a noisy LiDAR point cloud using CloudCompare
a powerful open-source tool for 3D point cloud processing. In this step-by-step tutorial, we guide you through visualizing, segmenting, filtering, and merging point clouds to generate a clean and usable map for further use in robotics, mapping, or SLAM.
🧠 What You’ll Learn:
How to open and navigate a LiDAR point cloud
How to adjust shaders and intensity ranges for better visibility
How to use segmentation, scalar filtering, and the CEA Broom tool
How to remove noise, bad reflections, and outliers
How to merge segmented point clouds into a clean final output
📁 Tools used: CloudCompare on Ubuntu
🔧 Point cloud format: PCD / LAS / XYZ
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🎓 Ideal for
Robotics & SLAM engineers
Surveying professionals
Anyone working with 3D LiDAR data
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