After converting my .pcap files to .pcd, the next step is to explore the point cloud data and examine its contents. To do this, I’m using CloudCompare, a powerful open-source tool for visualising and processing point clouds.

Why CloudCompare?

• CloudCompare is helpful because it allows me to:

• Load and inspect my 3D Lidar scans.

• Apply basic filtering to clean up noisy data.

• Segment and classify different parts of the scan.

• Compare multiple point clouds, which will be helpful later for aligning scans with DXF floor plans.

First Impressions & Testing

I started by importing my .pcd files into CloudCompare and experimenting with some essential tools:

• Adjusting the point size and colour scale to enhance the scan's readability.

• Using the built-in measurement tools to check distances in the scan.

• Apply simple noise filters to remove unwanted points.

I’ve recorded a short video demo showing my initial tests. I want to get familiar with the interface and see how CloudCompare handles my LiDAR data.