Dragon Lake Parking Dataset

The Dragon Lake Parking (DLP) Dataset contains annotated video and data of vehicles, cyclists, and pedestrians inside a parking lot. We collected it by flying a drone above a huge parking lot. Abundant vehicle parking maneuvers and interactions are recorded. To the best of our knowledge, this is the first and largest public dataset designated for the parking scenario (up to April 2022), featuring high data accuracy and a rich variety of realistic human driving behavior. The potential applications of this dataset include but are not limited to trajectory prediction, trajectory analysis, traffic analysis, behavior analysis, behavior cloning, and imitation learning.