openDD: A Large-Scale Roundabout Drone Dataset

TL;DR

The openDD dataset provides an extensive collection of drone-recorded trajectories and HD maps for seven roundabouts, facilitating advanced analysis and prediction of traffic behavior in unregulated intersections.

Contribution

This paper introduces the openDD dataset, the largest publicly available drone-based traffic dataset focusing on roundabouts, with over 84,000 trajectories and detailed HD maps.

Findings

Largest drone-based roundabout dataset to date

Over 84,000 accurately tracked trajectories

Data spans 7 different roundabouts

Abstract

Analyzing and predicting the traffic scene around the ego vehicle has been one of the key challenges in autonomous driving. Datasets including the trajectories of all road users present in a scene, as well as the underlying road topology are invaluable to analyze the behavior of the different traffic participants. The interaction between the various traffic participants is especially high in intersection types that are not regulated by traffic lights, the most common one being the roundabout. We introduce the openDD dataset, including 84,774 accurately tracked trajectories and HD map data of seven different roundabouts. The openDD dataset is annotated using images taken by a drone in 501 separate flights, totalling in over 62 hours of trajectory data. As of today, openDD is by far the largest publicly available trajectory dataset recorded from a drone perspective, while comparable datasets span 17 hours at most. The data is available, for both commercial and noncommercial use, at: http://www.l3pilot.eu/openDD.