research-article

openDD: A Large-Scale Roundabout Drone Dataset

Authors:

Antonia Breuer,

Jan-Aike Termöhlen,

Silviu Homoceanu,

Tim FingscheidtAuthors Info & Claims

2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)

Pages 1 - 6

https://doi.org/10.1109/ITSC45102.2020.9294301

Published: 20 September 2020 Publication History

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 various traffic participants. The interaction between the 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 the 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 non-commercial use, at: http://www.13pilot.eu/openDD.

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Tang SZhang ZZhang YZhou JGuo YLiu SGuo SLi YMa LXue YLiu Y(2023)A Survey on Automated Driving System Testing: Landscapes and TrendsACM Transactions on Software Engineering and Methodology10.1145/357964232:5(1-62)Online publication date: 24-Jul-2023
https://dl.acm.org/doi/10.1145/3579642
Spannaus PZechel PLenz K(2021)AUTOMATUM DATA: Drone-based highway dataset for the development and validation of automated driving software for research and commercial applications2021 IEEE Intelligent Vehicles Symposium (IV)10.1109/IV48863.2021.9575442(1372-1377)Online publication date: 11-Jul-2021
https://dl.acm.org/doi/10.1109/IV48863.2021.9575442

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openDD: A Large-Scale Roundabout Drone Dataset

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Sep 2020

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Published: 20 September 2020

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Tang SZhang ZZhang YZhou JGuo YLiu SGuo SLi YMa LXue YLiu Y(2023)A Survey on Automated Driving System Testing: Landscapes and TrendsACM Transactions on Software Engineering and Methodology10.1145/357964232:5(1-62)Online publication date: 24-Jul-2023
https://dl.acm.org/doi/10.1145/3579642
Spannaus PZechel PLenz K(2021)AUTOMATUM DATA: Drone-based highway dataset for the development and validation of automated driving software for research and commercial applications2021 IEEE Intelligent Vehicles Symposium (IV)10.1109/IV48863.2021.9575442(1372-1377)Online publication date: 11-Jul-2021
https://dl.acm.org/doi/10.1109/IV48863.2021.9575442

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Vehicle Energy Dataset (VED), A Large-Scale Dataset for Vehicle Energy Consumption Research

A large scale dataset for classification of vehicles in urban traffic scenes

The rounD Dataset: A Drone Dataset of Road User Trajectories at Roundabouts in Germany

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