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.