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  • Technische Universität Dresden
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  • Technische Universität Dresden
  • Bereiche
  • Bereich Bau und Umwelt
  • Fakultät Verkehrswissenschaften Friedrich List
  • Institut für Automobiltechnik Dresden (IAD)
  • Professur für Kraftfahrzeugtechnik
  • ListDB - Leverage information on street traffic
  • ListDB: Representative datasets of video-based traffic observations
  • Datenpaketanzeige
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ListDB RepTwo: 3 months (Jun'22-Aug'22) of drone videos and trajectories at a 4-way intersectionOpen Access Icon

Subtitle: Dresden (Germany): Kohlenstrasse / Dorfhainer Strasse

Thumbnail
ListDB Codebook specifying the metadata (629.2Kb)
Sample video (1 min) with corresponding metadata and mined trajectories (237.8Mb)
Readme of trajectory data (1.995Kb)
All trajectory data (847.8Mb)
Readme of video data (1.271Kb)
All video data (14.3 h) (602.2Gb)
contents.txt (91.66Kb)
Readme of ListDBApp (1.828Kb)
ListDBApp for collecting ListDB metadata (4.194Mb)
data-license.txt (CC-BY-NC-4.0) (13.40Kb)
Datum
2023
Autor
Bäumler, Maximilian
Lehmann, Matthias
Metadaten
Zur Langanzeige
Zusammenfassung
The dataset can be used to investigate road traffic and derive test scenarios for scenario-based testing, for example. The dataset includes three months of drone videos and their corresponding trajectories recorded in Dresden, Germany, at a 4-way intersection. The data collection followed a fixed sampling plan covering four different time slots daily (weekdays: 07.30-09.00 / 10.00-11.30 / 13.00-14.30 / 15.30-17.00) within June and August 2022. Moreover, extensive metadata is provided following the ListDB specification (w3id.org/listdb). Source trajectory data was extracted from video using DataFromSky TrafficSurvey (https://ai.datafromsky.com/aerial) - an AI video analytics-based service for gathering advanced traffic data for researchers and traffic engineers. Main facts: 855 minutes of video (June: 285 minutes / July: 285 minutes / August: 285 minutes). The analysed trajectories are available for each video. We sincerely thank DataFromSky for supporting the analysis. The video-based traffic observation was conducted within the MOTUS project (19FS2015A; motus-project.com) and supported by the mFUND grant by Germany’s Federal Ministry for Digital and Transport.
URI
https://opara.zih.tu-dresden.de/xmlui/handle/123456789/5889
http://dx.doi.org/10.25532/OPARA-230
Sammlungen
  • ListDB: Representative datasets of video-based traffic observations [3]Open Access Icon

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