Parking Problem

The "parking problem" encompasses the challenges of efficiently finding and utilizing parking spaces, impacting urban planning and driver experience. Current research focuses on developing automated parking systems using computer vision, employing deep learning models like object detectors and transformer-based networks for occupancy detection and autonomous parking path planning. These advancements leverage techniques such as imitation learning and game theory to optimize space allocation and improve parking success rates, addressing limitations of traditional rule-based approaches. The ultimate goal is to create more efficient and user-friendly parking solutions through technological innovation.