The OPARA service was recently upgraded to a new technical platform. You are visiting the outdated OPARA website. Please use https://opara.zih.tu-dresden.de/ for new data submissions. Previously stored data will be migrated in near future and then the old version of OPARA will finally be shut down. Existing DOIs for data publications remain valid.

Zur Kurzanzeige

Subtitle: Dresden (Germany): Kohlenstrasse / Dorfhainer Strasse

Metadaten

Ergänzende TitelSubtitle: Dresden (Germany): Kohlenstrasse / Dorfhainer Strasse
Für den Inhalt der Forschungsdaten verantwortliche Person(en)Bäumler, Maximilian - Technische Universität Dresden (ORCID: 0000-0003-4052-0572)
Für den Inhalt der Forschungsdaten verantwortliche Person(en)Lehmann, Matthias - Technische Universität Dresden (ORCID: 0000-0002-6407-3028)
Verwendete ForschungsinstrumenteDJI Mini 2
Zugrundeliegende ForschungsobjekteOther: Traffic observation videos of an intersection
KurzbeschreibungThe 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.
Angewendete Methoden oder VerfahrenThe videos were collected using consumer drones. The metadata was collected using the ListDBApp (see .apk). The 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.
Inhaltsverzeichnis- Sample video data - Sample trajectory data - Video data - Trajectory data - ListDBApp to collect metadata - ListDB codebook to specify the metadata
Länder, auf die sich die Daten beziehenGERMANYde
Koordinaten von Orten, auf die sich die Daten beziehen51.018819, 13.718199
Region(en) auf die sich die Daten beziehenSaxony
Weitere Schlagwörterdrone
Weitere Schlagwörteruav
Weitere Schlagwörtertraffic observation
Weitere Schlagwörtertrajectories
Weitere SchlagwörterData From Sky
Weitere Schlagwörtervideo analysis
Weitere Schlagwörterobject detection
Weitere Schlagwörtertraffic scenario
Weitere Schlagwörterautonomous driving
Spracheeng
Entstehungsjahr oder Entstehungszeitraum2022-2023
Veröffentlichungsjahr2023
HerausgeberTechnische Universität Dresden
Referenzen auf ergänzende MaterialienIsPartOf: 123456789/5882 (Handle)
Referenzen auf ergänzende MaterialienIsPartOf: https://w3id.org/listdb/onto (URL)
Referenzen auf ergänzende MaterialienIsDocumentedBy: https://index.mirasmart.com/27esv/PDFfiles/27ESV-000122.pdf (URL)
Inhalt der ForschungsdatenText, Audiovisual, Dataset, Software: Video: Videos containing traffic observation (.mp4) Dataset: Minded trajectories (.csv; .tlgx) Software: ListDBApp to collect metadata (.apk) Text: Text files containing metadata (.txt; .csv) Text: Codebook specifying the metadata (.pdf)
Inhaber der NutzungsrechteTechnische Universität Dresden
Nutzungsrechte des DatensatzesCC-BY-NC-4.0
Eingesetzte SoftwareResource Production: ListDBApp (Android; self-developed)
Eingesetzte SoftwareResource Processing: Data From Sky Traffic Survey
Angabe der FachgebieteEngineeringde
Titel des DatensatzesListDB RepTwo: 3 months (Jun'22-Aug'22) of drone videos and trajectories at a 4-way intersection


Dateien zu dieser Ressource

Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail

Die Datenpakete erscheinen in:

  • ListDB: Representative datasets of video-based traffic observations [3]Open Access Icon
    Representative datasets of video-based traffic observations according to the ListDB specification (w3id.org/listdb/). We collected the videos mainly at different intersections in Germany following a fixed sampling plan to ensure representativity. We describe the sampling plan and the collection procedure in the following paper: Maximilian Bäumler, Matthias Lehmann, Günther Prokop (2023). "Generating representative test scenarios: The "Fuse for Representativity" (FUSE4Rep) process model to collect and analyse traffic observation data". In: 27th ESV Conference. Yokohama. Paper NO.23-0122-O The paper is available here: https://index.mirasmart.com/27esv/PDFfiles/27ESV-000122.pdf

Zur Kurzanzeige