PointCab Nebula Archive - Pointcab

From First Scan to Real Insights

Nicole — Wed, 27 May 2026 08:00:00 +0000

USER STORY

From First Scan to Real Insights: Learning Digital Building Surveys with Laser Scanning

Contens

An entire building ensemble as a testing ground
A watchtower as a learning object
The first step matters: planning the scan on site
When theory meets reality
Working with the point cloud: from export to drawing
Data management and sharing
Between expectations and reality: a steep learning curve
Conclusion: technology meets learning
Our recommendation for getting started
Project participants

What happens when architecture students work with terrestrial laser scanning for the first time? That was exactly the focus of the Building Surveying course at Koblenz University of Applied Sciences: moving away from traditional tape-measure methods and toward a digital understanding of existing buildings.

The result is not a polished showcase, but an honest look at a learning process – one that highlights both the potential and the complexity of scan-to-CAD workflows.

An entire building ensemble as a testing ground

At the center of the project was a diverse building ensemble in the municipality of Bogel in Rhineland-Palatinate. Alongside the former “Alte Post,” the students also surveyed barns, a restaurant, and several additional existing structures.

The brief was deliberately open-ended. The goal was not just to capture the buildings, but to understand them spatially and translate that understanding into reliable as-built documentation – forming the basis for future design work.

One of the first challenges was access: not all interiors were accessible. As a result, many conclusions had to be derived indirectly from exterior scans, such as roof geometries, façade openings, and building heights.

A watchtower as a learning object

In parallel, the students scanned a reconstructed Roman watchtower along the Limes in Bendorf-Sayn – an intentionally chosen structure with very different constraints.

Tight interior spaces, complex lines of sight, and an active environment made it an ideal training scenario. Here, the focus was less on producing plans and more on understanding the scanning process itself:

Where should the scanner be positioned?
When are a few targets enough, and when are they not?
How do terrain and perspective affect registration?

These variations quickly made one thing clear: there is no single “standard” workflow.

The first step matters: planning the scan on site

Even before the scanner was set up, it became clear how critical preparation is.

Scan positions had to be chosen carefully to minimize occlusions. At the same time, practical constraints – accessibility, time pressure, and environmental factors – played a much larger role than expected.

The placement of reference targets proved particularly critical. They need to be clearly visible for registration, but not obstructive – something that sounds simple in theory, yet turned out to be surprisingly error-prone in practice.

When theory meets reality

The scanning process itself worked reliably. The real challenges came from external factors and the subsequent data processing.

Rain and wind affected scan quality, while passersby or animals occasionally moved reference targets. In some cases, scans had to be repeated because they could no longer be properly registered.

These issues became even more apparent during the alignment of individual scans. Missing links, shifted targets, or incomplete scan paths made registration far more time-consuming than expected. In addition, typical artifacts – such as people captured during scanning or incorrectly assigned reference points – had to be manually cleaned up before a consistent point cloud could be achieved.

Working with the point cloud: from export to drawing

Once the point cloud was complete, the actual analysis began in PointCab Origins. For the first time, the students could work directly within a digital representation of the building – taking measurements and deriving floor plans. The ability to access the full geometry at any time proved to be a major advantage over traditional methods.

However, it only became clear later on that the full potential of PointCab Origins had not been fully utilized. A significant amount of time was spent manually redrawing exported PDFs in CAD software. Although vector-based workflows in Origins were tested, they were not pursued further due to time constraints. As the students later learned from tutorials, tools like the Vectorizer or even a properly aligned orthophoto import could have significantly streamlined the process.

Instead, the exported data had to be processed, scaled, and adjusted within the CAD environment. In some cases, scale issues occurred and were initially misinterpreted. Only later did it become clear that these could have been avoided entirely by adjusting the sheet format directly in PointCab Origins, which allows for accurate, scaled PDF outputs.

This highlights a typical beginner effect: without a full understanding of the software’s capabilities, users tend to build unnecessarily complex workflows.

The underestimated challenge: data management and sharing

Another major issue was the size of the datasets.

The generated point clouds were large and difficult to share. Standard methods such as email or common file-sharing services quickly reached their limits (for example, 2 GB file size restrictions), which meant that external hard drives were sometimes used instead.

This exposes a key challenge in collaborative workflows:
The value of the data can only be realized if it is easily accessible – and if the necessary hardware is available.

This is where cloud-based solutions like PointCab Nebula offer a much more efficient approach. Projects can be hosted, visualized, and shared directly within the user’s own cloud environment, therefore eliminating the need for complex file transfers.

Between expectations and reality: a steep learning curve

The initial expectation of producing complete as-built drawings within a short timeframe proved to be unrealistic.

Instead, the project evolved into an iterative process: scanning, correcting, reprocessing, and redrawing. Yet this is precisely where its real value lies.

The students not only learned the workflow itself, but also gained a clear understanding of where typical issues arise, and how to avoid them in future projects.

Key takeaways included:

improved scan planning
better handling and securing of reference targets
more efficient use of software tools
a more realistic assessment of data sizes and hardware requirements

Conclusion: technology meets learning

This project clearly demonstrates the potential of digital building surveying.

As Nicolas Wild puts it:

“Although terrestrial laser scanning originated in landscape surveying, the method can be effectively applied to construction measurement: It provides a complete geometric capture of the existing structure and, compared to manual measurement, opens up additional analysis options in the planning process. The initial investment in scanners and software may seem like a hurdle, but it will pay off as experience grows and more projects are completed.”

At the same time, it becomes evident that success depends not only on the technology but on understanding the workflow behind it.

With the experience gained from this project, the students are far better prepared for future work. Once this initial learning phase is complete, workflows become significantly more efficient, and the true strengths of laser scanning can fully unfold.

Our recommendation for getting started

Many of the challenges encountered in this project can be significantly reduced by understanding the software from the outset.

That’s why we recommend:

free demos to explore the full capabilities of PointCab Origins
contact our dedicated support to avoid common pitfalls early on
and cloud-based solutions like PointCab Nebula to simplify data sharing and project collaboration

This turns a complex entry into a much more structured workflow–and allows the full potential of laser scanning to be realized.

project participants

Students:
Celina Harzer, David Knopp, Maximilian Krahn, Edgar Landl, Witta Majorov, Nicolas Wild

Professor:
Prof. Stephan Jost

Advisor:
Mika Kramer

Other publications:
Nicolas Wild – Büro Stefan Wild Architekt Montabaur

Sources & further information:
– Koblenz University of Applied Sciences
– Welterbe Limes Bendorf-Sayn

Want to keep up with the latest pointCab news?

Then follow us on Social Media or subcribe to our newsletter!

Der Beitrag From First Scan to Real Insights erschien zuerst auf Pointcab.

New Release: Nebula 2.1 & Nebula Creator

Nicole — Thu, 05 Feb 2026 18:45:54 +0000

New Release: Nebula 2.1 & Nebula Creator

Contents

1.Nebula Creator
2. Nebula 2.1 – Most important new Features
AWS (Amazon Web Services) Compatibility
New Download Manager
Height and Cluster Navigation
“Display Range” Option in Bubble Views
Measurements & POIs in Bubble Views
3. Nebula 2.1 – More New Features
4. Nebula 2.1 – Refinements and Fixes

1. Nebula Creator

What it’s for

4. Nebula 2.1 – Refinements and Fixes

Improved clipping box handling
Improved Settings behaviour & appearance
Improved workflow for purchasing additional slots
Improved 3D Visualization
Improved Mini Map for easier navigation
Extended measurements units (feet)
Dynamic point-display adjustment for improved performance
Optimized point cloud loading for faster performance
Fix: Updates are synchronized in real time across all views
Fix: Unified sharing links for all users
Fix: Automatically update public links
Fix: Microsoft SharePoint Public Links
Fix: Sidebar issues in Firefox

Book your demo today!

Want to see those shiny new features first-hand?

Simply book a free, no-obligation demo with one of our support engineers below.

privacy policy<\/a> .","required":"true","_id":"15dcebc","step_previous_button":null,"step_next_button":null,"label":"","placeholder":null,"recaptcha_badge":null,"recaptcha_theme":null,"recaptcha_size":null,"checked_by_default":"","min_time":null,"max_time":null,"min_date":null,"max_date":null,"localization":null,"min":null,"max":null,"field_options":null,"inline_list":null,"field_html":null,"native_html5":null,"multiple_selection":null,"rows":null,"iti_tel":null,"iti_tel_tel_type":null,"iti_tel_require_area":null,"iti_tel_allow_dropdown":null,"iti_tel_country_include":null,"iti_tel_ip_detect":null,"iti_tel_internationalize":null,"file_sizes":null,"file_types":null,"allow_multiple_upload":null,"max_files":null,"step_icon":null,"width":"100","field_value":null,"field_custom_id":""},{"_id":"43c4afa","type":"recaptcha_v3","recaptcha_badge":"bottomleft","acceptance_text":null,"step_previous_button":null,"step_next_button":null,"field_custom_id":"field_43c4afa","label":"","placeholder":null,"recaptcha_theme":null,"recaptcha_size":null,"checked_by_default":null,"min_time":null,"max_time":null,"min_date":null,"max_date":null,"localization":null,"min":null,"max":null,"field_options":null,"inline_list":null,"field_html":null,"native_html5":null,"multiple_selection":null,"rows":null,"required":null,"iti_tel":null,"iti_tel_tel_type":null,"iti_tel_require_area":null,"iti_tel_allow_dropdown":null,"iti_tel_country_include":null,"iti_tel_ip_detect":null,"iti_tel_internationalize":null,"file_sizes":null,"file_types":null,"allow_multiple_upload":null,"max_files":null,"step_icon":null,"width":null,"field_value":null}],"steps_type":"number","steps_icon_shape":"circle"}" data-widget_type="raven-form.default">

Want to keep up with the latest pointCab news?

Then follow us on Social Media or subcribe to our newsletter!

Der Beitrag New Release: Nebula 2.1 & Nebula Creator erschien zuerst auf Pointcab.

Nebula 2.0 R2

Freddie — Mon, 11 Aug 2025 07:00:02 +0000

Nebula 2.0 r2

NEW REVISION

Our cloud solution Nebula for point clouds is getting some new features and updates with the new revision. The most important new features and fixes are summarized here in this article. Let’s get started!

NEW FUNCTIONS:

Dynamic LOD for Orthophotos and Panos

New option in Nebula to „Download High Resolution Tiles“.
Orthophotos and panoramas are normally created in LOD 6 (level of detail) in order to load faster.

Higher resolution data can now be loaded on demand.

Handles to adjust Clipping Boxes

The Clipping Box in 3D view can now be rotated, moved, and scaled in all directions using handles.

GENERAL IMPROVEMENTS:

Share options added in 3D

Projects can now also be shared directly from the 3D view via “Share Project”.

Improved UX in Planar/Bubble View

Improved user experience:
Switching between Planar and Bubble View is now smoother and reliably leads to the same position.

IMPROVEMENTS & FIXES

Save georeferencing added
Multiple Settings improvements
Fix measurements visualisation in panoramas
Fix loading for bubble views
Fix Project Integrity Check display
Fix user roles editing
Fix load available sheets
Fix app freeze when creating clipping box

Haven't tried Nebula yet?

Learn more about our Nebula cloud solution for point clouds and register for free today:

Want to keep up with the latest pointCab news?

Then follow us on Social Media or subcribe to our newsletter!

Der Beitrag Nebula 2.0 R2 erschien zuerst auf Pointcab.