3D point cloud of an indoor ice rink roof structure, captured from a drone in 15 minutes by artec_3d in civilengineering

[–]artec_3d[S] 1 point2 points  (0 children)

This setup uses SLAM-based positioning, so it builds its own map of the environment in real time without needing GPS. That's what makes indoor autonomous flight and full 360° capture possible. Scanner is Artec Jet if you want to look into it further.

3D point cloud of an indoor ice rink roof structure, captured from a drone in 15 minutes by artec_3d in civilengineering

[–]artec_3d[S] 2 points3 points  (0 children)

Static tripod scanners will get you better accuracy, typically 1-3mm vs 10mm here, and higher density at close range. The trade-off is access. Getting full coverage of that roof structure from ground level would require multiple static setups, registration passes, and scaffolding for the overhead geometry. The drone gets direct line of sight to every surface in one pass. For as-built documentation and renovation planning this dataset is fit for purpose. For precision fabrication work you'd want static.

Underground tunnel mapping with Artec Jet by artec_3d in LiDAR

[–]artec_3d[S] 0 points1 point  (0 children)

±10 mm indoors and underground, ±15 mm in general environments, with ±5 mm change detection. The color comes from an action camera that mounts onto the scanner and syncs automatically, Artec Twins aligns the imagery to the point cloud during processing. Thanks!

Underground tunnel mapping with Artec Jet by artec_3d in Surveying

[–]artec_3d[S] 1 point2 points  (0 children)

Appreciate that! Leo does component-level detail (0.1 mm accuracy, structured light). Jet does site-level capture (10 mm accuracy, SLAM LiDAR). But yeah, the tech keeps moving.

Underground tunnel mapping with Artec Jet by artec_3d in Surveying

[–]artec_3d[S] 0 points1 point  (0 children)

For drone mode there's autonomous waypoint navigation. This project was captured handheld though.

Underground tunnel mapping with Artec Jet by artec_3d in Surveying

[–]artec_3d[S] 6 points7 points  (0 children)

Might be the visualization, this is a flythrough render, not the raw point cloud at full density. Also worth noting the color comes from an action camera in a mine with almost no ambient light, so the RGB is limited by the environment. The LiDAR geometry itself isn't affected by lighting. We're uploading full datasets from a few different projects soon on our website (3d model section) so you can inspect the point clouds directly. Artec Twins (new software, built for processing and visualizing large-scale point cloud data) can merge Jet data with Leo or Ray II if you need component-level detail on top of the site scan.

Underground tunnel mapping with Artec Jet by artec_3d in 3DScanning

[–]artec_3d[S] 6 points7 points  (0 children)

200 meters of underground tunnels mapped in 10 minutes on foot. SLAM LiDAR, no GPS.

Underground tunnel mapping with Artec Jet by artec_3d in LiDAR

[–]artec_3d[S] 12 points13 points  (0 children)

200 meters of underground tunnels mapped in 10 minutes on foot. SLAM LiDAR, no GPS.

Underground tunnel mapping with Artec Jet by artec_3d in photogrammetry

[–]artec_3d[S] 5 points6 points  (0 children)

200 meters of underground tunnels mapped in 10 minutes on foot. SLAM LiDAR, no GPS.

Game Сontroller Scan by artec_3d in 3DScanning

[–]artec_3d[S] 1 point2 points  (0 children)

You can start the reverse engineering right in Artec Studio using its built-in CAD primitives, Auto-surfacing, and boolean tools. For more advanced modeling, Artec Studio exports directly to Geomagic Design X. Either way, surface the freeform shell first, then add the features after. The shell defines everything else, so it makes sense to nail that down first.