Point Cloud Processing & Structuring

Case Studies

Exceptional results in complex projects

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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Services

01

Point Cloud Classification

We perform structured distribution of points into defined object categories (ground, buildings, vegetation, utility networks, temporary objects, etc.). This process transforms raw data into an intelligent basis for further work.

To achieve the optimal balance of efficiency and accuracy, we apply a hybrid approach. Automated processing using specialized algorithms (in Trimble Business Center and other software) is accompanied by mandatory expert manual control and correction. We configure the classification process according to the specific project requirements and standards of European clients.

As a result, you receive a clean, structured point cloud where every object is identified. This allows for isolating layers, quickly extracting sections, performing analytics, and importing only the necessary data into a BIM or CAD environment, significantly accelerating modeling.

Execution Stages:

Technical Specification Alignment

Joint definition with the client of the results format, set of required object classes (classification), and processing accuracy requirements.

Receiving Source Data

Acceptance of point clouds in formats such as *.las, *.laz, etc., via cloud storage, FTP servers, or other data transfer channels.

Preliminary Data Quality Assessment

Analysis of the quality of the received scans: determination of point density, completeness of area coverage, and presence of noise.

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Automated Classification

Primary processing of the point cloud in specialized software (e.g., Trimble Business Center) using algorithmic filters and templates for preliminary distribution of points into classes.

Verification and Manual Correction

Detailed manual refinement of boundaries and attributes of classified objects by engineers to achieve maximum accuracy in accordance with the technical specification.

Final Preparation and Delivery of Results

Export of classified and processed data into the agreed format (.rvt, .dwg, etc.), compilation of accompanying documentation, and delivery of results to the client.

Technical Specification Alignment

Joint definition with the client of the results format, set of required object classes (classification), and processing accuracy requirements.

Receiving Source Data

Acceptance of point clouds in formats such as *.las, *.laz, etc., via cloud storage, FTP servers, or other data transfer channels.

Preliminary Data Quality Assessment

Analysis of the quality of the received scans: determination of point density, completeness of area coverage, and presence of noise.

Automated Classification

Primary processing of the point cloud in specialized software (e.g., Trimble Business Center) using algorithmic filters and templates for preliminary distribution of points into classes.

Verification and Manual Correction

Detailed manual refinement of boundaries and attributes of classified objects by engineers to achieve maximum accuracy in accordance with the technical specification.

Final Preparation and Delivery of Results

Export of classified and processed data into the agreed format (.rvt, .dwg, etc.), compilation of accompanying documentation, and delivery of results to the client.

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Services

02

Point Cloud Registration

Our goal is to create a holistic, geometrically accurate digital copy of space from a multitude of individual scans. We precisely combine individual scans into a single, aligned model in a common coordinate system. This eliminates gaps and duplications, providing a basis for correct modeling, precise measurements, and high-quality visualization.

The process combines the advantages of powerful automatic registration in software suites (such as Trimble Business Center) with subsequent verification and manual refinement of key areas. This approach guarantees maximum accuracy even for complex objects with a limited number of control points.

You receive a unified, verified point cloud in the required coordinate system. The result is always accompanied by a technical report documenting the achieved registration accuracy, which is mandatory for responsible stages of design and construction.

Execution Stages:

Technical Specification Alignmen

Definition of requirements for accuracy, formats, coordinate system, and specifications of the final result.

Receiving Source Data

Acceptance from the client of raw point clouds, individual scans, target coordinates, and other auxiliary materials in formats such as *.las, *.laz, *.e57, etc.

Preliminary Data Quality Analysis

Check of completeness, overlap, and overall quality of scans. Identification of key points for subsequent precise alignment.

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Point Cloud Registration

Integration of individual scans into a unified coordinate system using a hybrid approach: automatic registration followed by manual control and correction.

Registration Accuracy Verification

Generation of a detailed report with quantitative error metrics and verification of compliance of the achieved accuracy with the technical specification requirements.

Final Delivery of Results

Preparation of the unified and verified point cloud in the agreed format and its transfer to the client along with a full report on the accuracy of the work performed.

Technical Specification Alignment

Definition of requirements for accuracy, formats, coordinate system, and specifications of the final result.

Receiving Source Data

Acceptance from the client of raw point clouds, individual scans, target coordinates, and other auxiliary materials in formats such as *.las, *.laz, *.e57, etc.

Preliminary Data Quality Analysis

Check of completeness, overlap, and overall quality of scans. Identification of key points for subsequent precise alignment.

Point Cloud Registration

Integration of individual scans into a unified coordinate system using a hybrid approach: automatic registration followed by manual control and correction.

Registration Accuracy Verification

Generation of a detailed report with quantitative error metrics and verification of compliance of the achieved accuracy with the technical specification requirements.

Final Delivery of Results

Preparation of the unified and verified point cloud in the agreed format and its transfer to the client along with a full report on the accuracy of the work performed.

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Point Cloud Processing & Structuring

Case Studies

Point Cloud Classification for Urban Infrastructure

Point Cloud Registration for Railway Infrastructure

Services

01

Point Cloud Classification

Execution Stages:

Technical Specification Alignment

Receiving Source Data

Preliminary Data Quality Assessment

Automated Classification

Verification and Manual Correction

Final Preparation and Delivery of Results

Technical Specification Alignment

Receiving Source Data

Preliminary Data Quality Assessment

Automated Classification

Verification and Manual Correction

Final Preparation and Delivery of Results

Services

02

Point Cloud Registration

Execution Stages:

Technical Specification Alignmen

Receiving Source Data

Preliminary Data Quality Analysis

Point Cloud Registration

Registration Accuracy Verification

Final Delivery of Results

Technical Specification Alignment

Receiving Source Data

Preliminary Data Quality Analysis

Point Cloud Registration

Registration Accuracy Verification

Final Delivery of Results

Free data audit and calculation — within 24 hours.

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