Point Cloud Registration for Tramway Tracks

2023
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The Archizem engineering team performed the registration of point clouds captured with the Trimble MX9 mobile mapping system during a survey of tramway infrastructure. As data acquisition was performed in motion, geodetic control points were utilized to refine the scanner trajectory and ensure precise georeferencing, achieving a final registration accuracy of 1–2 cm.

The registration process involved aligning the mobile mapping trajectories to the control points. This was complemented by a semi-automated workflow that matched trajectories against reference data to consolidate multiple scans into a unified, accurate coordinate system. This methodology guaranteed high data integrity even in complex urban corridors.

As a result, the client received a spatially aligned and metrologically accurate point cloud, ready for creating digital models, conducting as-built assessments, and generating technical drawings.

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Point Cloud Classification for Urban Infrastructure

As part of data preparation for a tramway corridor project, Archizem executed point cloud classification based on datasets captured with the Trimble MX9 mobile scanning system. During processing, the main object classes within the urban environment were identified, including buildings, dynamic objects, road surfaces, ground, vegetation, noise, and other urban features.
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Point Cloud Registration for Railway Infrastructure

Archizem specialists completed the registration of point clouds captured with the Trimble MX9 mobile mapping system during a survey of rail network infrastructure. Since data was collected in motion, the absolute accuracy was enhanced by refining the trajectory using survey targets installed on the ground and on structures. The achieved registration accuracy was up to 3 cm.
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