Road Topology

Road topology research focuses on understanding and representing the structure of road networks for applications like autonomous driving and traffic management. Current efforts concentrate on developing accurate and robust methods for extracting road network information from various data sources (e.g., satellite imagery, onboard cameras) using techniques such as graph neural networks, transformer-based architectures, and instance-segmentation models. These advancements are crucial for improving the safety and efficiency of autonomous vehicles, optimizing traffic flow in smart cities, and enabling more accurate map creation and updates.