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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    openDD: A Large-Scale Roundabout Drone Dataset


    Contributors:


    Publication date :

    2020-09-20


    Size :

    2144141 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Bracknell roundabout -- Construction of roundabout under railway

    Kendal, J.T. / Palmer, R.W. | Engineering Index Backfile | 1956


    New Type of Roundabout: Roundabout with “Depressed” Lanes for Right Turning – “Flower Roundabout”

    Tomaž Tollazzi / Marko Renčelj / Sašo Turnšek | DOAJ | 2011

    Free access

    ROUNDABOUT ASSIST

    QUIJANO ELENA | European Patent Office | 2020

    Free access


    Roundabout foot board

    FAN XIANGWEI / HE MAOHUA / MEI XUEFEI | European Patent Office | 2023

    Free access