No title
Access to detailed network data is often constrained by access-controlled datasets or by extensive manual labour. This study addresses the challenge by proposing a novel approach to extract lane-level road topology graphs at signalised intersections. The aim is to predict intersection topologies directly from aerial imagery and a simplified OpenStreetMap road-level graph using neural networks, bri
