![data acquisition platform and overview of sequences](https://www.dzsf.bund.de/DZSF/DE/DZSF_Intern/Bilder_FID_Move/osdar23.png?__blob=normal)*Source: own illustration based on images by DB Netz AG* ## Project Info ![DZSF](https://www.dzsf.bund.de/DZSF/DE/DZSF_Intern/Bilder_FID_Move/logo_dzsf.png?__blob=normal) ![Digitale Schiene Deutschland](https://www.dzsf.bund.de/DZSF/DE/DZSF_Intern/Bilder_FID_Move/logo_dsd.png?__blob=normal) ![FusionSystems](https://www.dzsf.bund.de/DZSF/DE/DZSF_Intern/Bilder_FID_Move/logo_fusionsystems.png?__blob=normal) The "Open Sensor Data for Rail 2023" (OSDaR23, [10.57806/9mv146r0](https://doi.org/10.57806/9mv146r0)) has been created in a joint research project by the [German Centre for Rail Traffic Research at the Federal Railway Authority (DZSF)](https://www.dzsf.bund.de), [Digitale Schiene Deutschland / DB Netz AG](http://digitale-schiene-deutschland.de), and [FusionSystems GmbH](https://www.fusionsystems.de). Research report and Labeling Guide can be obtained from the [DZSF website](https://www.dzsf.bund.de/SharedDocs/Standardartikel/DZSF/Projekte/Projekt_70_Reale_Datensaetze.html). The data set consists of 45 sequences of annotated multi-sensor data (color camera, infrared camera, lidar, radar, localization, IMU). Data have been collected on different railway tracks in Hamburg, Germany. ## License Info The "Open Sensor Data for Rail 2023" (OSDaR23, [10.57806/9mv146r0](https://doi.org/10.57806/9mv146r0)) is published by the [German Centre for Rail Traffic Research at the Federal Railway Authority (DZSF)](https://www.dzsf.bund.de). Annotation data (file type `.json`) are published under [CC0 1.0](https://creativecommons.org/publicdomain/zero/1.0/legalcode). Sensor data (file types `.png`, `.pcd`, and `.csv`) are published under [CC BY-SA 3.0 de](https://creativecommons.org/licenses/by-sa/3.0/de/legalcode). ## Further Info The data set can be used in Python with the [RailLabel](https://github.com/DSD-DBS/raillabel) package published by DB Netz AG. The data set can be viewed, for example, with the [WebLabel Player](https://github.com/Vicomtech/weblabel) published by [Vicomtech Research Foundation](https://www.vicomtech.org/en/). *(Disclaimer: Vicomtech was not part of the research project and there are currently no further relationships between DZSF and Vicomtech.)* ![Vicomtech](https://www.dzsf.bund.de/DZSF/DE/DZSF_Intern/Bilder_FID_Move/logo_vicomtech.png?__blob=normal) ## Statistics Number of Multisensor-Frames: `1534` Statistic of annotation objects: object class number of annotations ------------------ --------------------- person 73 421 crowd 1 352 train 8 290 wagons 110 bicycle 1 779 group of bicycles 644 motorcycle 14 road vehicle 12 669 animal 3 288 group of animals 0 wheelchair 0 drag shoe 79 track 18 543 transition 636 switch 2 947 catenary pole 27 706 signal pole 14 374 signal 32 790 signal bridge 312 buffer stop 4 539 flame 410 smoke 188 ------------------ --------------------- total 204 091


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    Title :

    Open Sensor Data for Rail 2023



    Publication date :

    2023-01-01


    Type of media :

    Research Data


    Type of material :

    Electronic Resource


    Language :

    German




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