Urban Environment

Urban environment research focuses on understanding and improving various aspects of cities, from infrastructure and transportation to social dynamics and environmental impact. Current research employs diverse methods, including large language models (LLMs) for urban planning and autonomous systems, deep learning for image analysis and prediction of traffic flow and air quality, and advanced sensor fusion techniques like LiDAR and radar for navigation and mapping. These advancements are improving urban planning, resource management, and the development of safer, more efficient, and sustainable urban spaces, with implications for transportation, environmental monitoring, and public safety.