7_approach_underground_station_7.3
URL: https://download.data.fid-move.de/dzsf/osdar23/7_approach_underground_station_7.3.zip
Source: own illustration based on image / data by DB Netz AG
Project Info
The "Open Sensor Data for Rail 2023" (OSDaR23, 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), Digitale Schiene Deutschland / DB Netz AG, and FusionSystems GmbH. The Research report (10.48755/dzsf.230012.01) and the Labeling Guide (10.48755/dzsf.230012.05) can be obtained from the DZSF website.
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) is published by the German Centre for Rail Traffic Research at the Federal Railway Authority (DZSF). Annotation data (file type .json
) are published under CC0 1.0. Sensor data (file types .png
, .pcd
, and .csv
) are published under CC BY-SA 3.0 de.
Further Info
The data set can be used in Python with the RailLabel package published by DB Netz AG.
The data set can be viewed, for example, with the WebLabel Player published by Vicomtech Research Foundation. (Disclaimer: Vicomtech was not part of the research project and there are currently no further relationships between DZSF and Vicomtech.)
Sequence Info for '7_approach_underground_station_7.3'
Description for Sequence Group '7_approach_underground_station'
The ego train is heading for a large station. In 7.3, it has arrived there and stands in front of a multi-lane tunnel system. A time interval between the partial sequences cannot be determined. In the first two subsequences, train, track, catenary pole and signal are among the most frequent object classes. In 7.3, it is track, switch and signal.
Statistics for Sequence '7_approach_underground_station_7.3'
Number of Multisensor-Frames: 10
Total file size: 912 MB
(compressed archive is 10-15% smaller)
Statistic of annotation objects:
object class number of annotations
------------------ ---------------------
person 76
crowd 0
train 50
wagons 0
bicycle 89
group of bicycles 0
motorcycle 14
road vehicle 543
animal 90
group of animals 0
wheelchair 0
drag shoe 0
track 280
transition 270
switch 386
catenary pole 30
signal pole 196
signal 394
signal bridge 0
buffer stop 0
flame 0
smoke 0
------------------ ---------------------
total 2 418
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Zusätzliche Informationen
Feld | Wert |
---|---|
Daten wurden zuletzt aktualisiert | 20. März 2023 |
Metadaten zuletzt aktualisiert | 7. Dezember 2023 |
Erstellt | 20. März 2023 |
Format | ZIP PNG PCD CSV JSON |
Lizenz | Creative Commons Attribution-ShareAlike 3.0 Germany |
Id | 08a5cfb7-0419-40ce-b932-734c540d75f7 |
Mimetype | application/zip |
Package id | 3d7e7406-639f-49f6-bbca-caac511b4032 |
Position | 18 |
State | active |
Version | 1.2.0 |