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ListDB RepOne: 3 months (Jun'22-Aug'22) of drone videos and trajectories at a 3-way intersection
Subtitle: Dresden (Germany): Tharandter Strasse / Frankenbergstrasse
Metadaten
| Ergänzende Titel | Subtitle: Dresden (Germany): Tharandter Strasse / Frankenbergstrasse | |
| 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 Forschungsinstrumente | DJI Mini 2 | |
| Zugrundeliegende Forschungsobjekte | Other: Traffic observation videos of an intersection | |
| Kurzbeschreibung | 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 3-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: 790 minutes of video (June: 281 minutes / July: 259 minutes / August: 250 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 Verfahren | The 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 beziehen | GERMANY | de |
| Koordinaten von Orten, auf die sich die Daten beziehen | 51.036753, 13.705006 | |
| Region(en) auf die sich die Daten beziehen | Saxony | |
| Region(en) auf die sich die Daten beziehen | Dresden | |
| Weitere Schlagwörter | drone | |
| Weitere Schlagwörter | uav | |
| Weitere Schlagwörter | traffic observation | |
| Weitere Schlagwörter | trajectories | |
| Weitere Schlagwörter | Data From Sky | |
| Weitere Schlagwörter | video analysis | |
| Weitere Schlagwörter | object detection | |
| Weitere Schlagwörter | traffic scenario | |
| Weitere Schlagwörter | autonomous driving | |
| Sprache | eng | |
| Entstehungsjahr oder Entstehungszeitraum | 2022-2023 | |
| Veröffentlichungsjahr | 2023 | |
| Herausgeber | Technische Universität Dresden | |
| Referenzen auf ergänzende Materialien | IsPartOf: 123456789/5882 (Handle) | |
| Referenzen auf ergänzende Materialien | IsPartOf: https://w3id.org/listdb/onto (URL) | |
| Referenzen auf ergänzende Materialien | IsDocumentedBy: https://index.mirasmart.com/27esv/PDFfiles/27ESV-000122.pdf (URL) | |
| Inhalt der Forschungsdaten | Text, 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 Nutzungsrechte | Technische Universität Dresden | |
| Nutzungsrechte des Datensatzes | CC-BY-NC-4.0 | |
| Eingesetzte Software | Resource Production: ListDBApp (Android; self-developed) | |
| Eingesetzte Software | Resource Processing: Data From Sky Traffic Survey | |
| Angabe der Fachgebiete | Engineering | de |
| Titel des Datensatzes | ListDB RepOne: 3 months (Jun'22-Aug'22) of drone videos and trajectories at a 3-way intersection |
Dateien zu dieser Ressource
Die Datenpakete erscheinen in:
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ListDB: Representative datasets of video-based traffic observations [3]
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