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Demo Notebooks

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.