Urban Mapping

Urban mapping focuses on creating accurate and comprehensive representations of urban environments, primarily for navigation, urban planning, and infrastructure management. Current research emphasizes automated map generation using diverse data sources like satellite imagery, crowdsourced photos, and sensor data from vehicles, often employing deep learning models such as convolutional neural networks and graph neural networks for image segmentation, object detection, and map inference. These advancements improve map accuracy, reduce costs associated with traditional methods, and enable real-time map updates, impacting fields ranging from autonomous driving to disaster response.