Import & Export of CityGML in Blender
A Blender plugin for the georeferenced import, editing and export of CityGML building objects. The workflow connects standardised 3D city models with Blender's modelling and visualization capabilities.
Digital City Models · Geoinformatics · Automation
CityGML workflows for Blender, machine learning and 3D geodata
A cluster of projects focused on the automated creation, modeling, and processing of digital city models, with an emphasis on open standards, reproducible geodata workflows, and specialized tools for CityGML..
Selected Work
Projects
Five development areas combine CityGML, Blender, parametric modelling, remote sensing data and machine learning into integrated workflows for digital city models.
Blender Building Detailer – Parametric Building Details
The Blender plugin extends selected roof and façade surfaces without manual modelling using parametric BuildingParts such as dormers, chimneys, balconies, bay windows and roof parapets.
Opening Detection and Generation Using Machine Learning
Machine-learning-based detection of windows and doors in building façades. The detections are geometrically refined, converted into openings and integrated into CityGML building objects.
Automated Texturing of CityGML City Models
An automated workflow projects aerial images onto CityGML surfaces, evaluates suitable camera perspectives and creates textured city models with reproducible image assignment and texture atlas generation.
Automated Generation of CityGML Building Objects
Building footprints, digital terrain models and laser scanning data are combined to automatically derive georeferenced CityGML building objects, including height determination, roof reconstruction and semantic surface generation.
From Source Data to City Model
A Shared Technical Focus
The projects share one objective: to automate complex and recurring steps in 3D geodata processing in a transparent and reproducible way without losing sight of georeferencing, semantic structure or exchange formats.