These jupyter notebooks serve as a tutorial and demonstration of the tools in this repository.
0. Complete solution -- an overview of the full pipeline.
1. AHN preprocessing -- detailed instructions for pre-processing AHN data.
1. Generate reference data -- detailed instructions for scraping and parsing reference data.
2. Ground and Buildings -- labelling ground and buildings using data fusion with AHN and BGT data.
3. Suspended cables and streetlights -- labelling suspended objects such as utility cables, tram cables, and streetlights.
4. Cars -- label objects as cars based on dimensions of a cluster and BGT data.
5. Pole-like objects -- labelling objects such as trees, street lights, and traffic signs using BGT data.
6. Street furniture -- labelling street furniture objects such as rubbish bins and city benches using clustering techniques and BGT data.
Region growing -- two region growing implementations for the refinement of labeled objects.
Visualisations -- examples of different data visualisations.