Parking Lot

Parking lot research focuses on improving efficiency and safety within these spaces, primarily addressing challenges related to finding available spots and optimizing parking maneuvers. Current research employs various deep learning models, including convolutional neural networks (CNNs), graph convolutional networks (GCNs), and transformers, often combined with techniques like graph coarsening and optimal control, to achieve real-time parking space detection, occupancy prediction, and automated parking assistance. These advancements aim to alleviate traffic congestion, reduce search times, and enhance the overall parking experience, impacting both urban planning and the development of autonomous driving systems.