Company: | Stonex |
Location: | Milan (Italy) |
Website: | https://www.stonex.it/ |
Name: | Stonex Team |
Position: | Technical Surveying Team |
Main Activity: | Development of surveying technologies and solutions |
This project focused on an indoor study of a train station located near Milan, close to Stonex's main offices. The objective was to capture the entire interior of the station and demonstrate how to integrate panoramic images and LiDAR data into a detailed 3D model for visualization, measurement, and vectorization.
The main challenge involved completely documenting the complex interior space of the station, including stairs, vending machines, and railway platforms, using advanced scanning technology. A solution was required that would allow not only capturing the precise geometry of the space, but also integrating panoramic images to facilitate virtual navigation and detailed analysis.
Verification of panoramic image properties captured during indoor scanning.
A single 20-minute scan was performed in the large interior space of the station using a Stonex X70 GO SLAM scanner combined with a panoramic camera, achieving an impressive global accuracy of around 2 cm. The scanner enabled the generation of 360-degree images that were automatically synchronized with the scanning data.
The collected E57 file contained both point cloud data and panoramic images. Once imported into tcp PointCloud Editor, the software automatically linked the images to their corresponding scan positions, allowing seamless navigation between panoramas and 3D views.
Management and assignment of geotags to organize scan data.
Users could enter the station virtually, clicking through scan bubbles to inspect the interior. tcp PointCloud Editor enabled direct measurements on panoramic images thanks to synchronization with the underlying point cloud, and users could draw vectors directly on images and visualize them in 3D.
Measurement and vector drawing tools directly on panoramic images.
For detailed modeling, horizontal cuts were extracted from the point cloud using coplanar sections at regular height intervals, isolating structural elements such as walls and columns. In a second phase, the staircase was modeled using rapid profiles and 3D extrusion tools, creating a precise reconstruction in three-dimensional space.
Extraction of coplanar cuts for structural element analysis.
Staircase reconstructed with precision in 3D space using extrusion tools.