Parking Slot

Parking slot research focuses on efficiently detecting, classifying (occupied/vacant), and managing parking spaces, primarily to improve autonomous vehicle navigation and optimize parking lot utilization. Current research employs computer vision techniques, often leveraging deep learning models like YOLO and ResNet, along with sensor fusion (e.g., visual-inertial odometry) and graph-based methods for real-time parking recommendations. These advancements aim to enhance autonomous parking systems, improve traffic flow, and create more efficient parking management solutions for both public and private spaces.