This blog post introduces a step-by-step tutorial for working with a global road surface dataset. Using open-source tools, the tutorial demonstrates how to identify infrastructure gaps by combining road surface…
The paper addresses the global shortage of detailed road surface data by leveraging street-view imagery from Mapillary and advanced deep learning techniques. Traditional datasets like OpenStreetMap (OSM) often lack comprehensive…
Researchers at HeiGIT (Heidelberg Institute for Geoinformation Technology) have publicly released a first of its kind planet-scale dataset on road surface type (paved or unpaved) using state-of-the-art GeoAI methods based on…
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Background imagery created with data from OpenStreetMap contributors