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Subtitle: Dresden (Germany): Tharandter Strasse / Frankenbergstrasse

Metadata

Additional titleSubtitle: Dresden (Germany): Tharandter Strasse / Frankenbergstrasse
Person(s) who is (are) responsible for the content of the research dataBäumler, Maximilian - Technische Universität Dresden (ORCID: 0000-0003-4052-0572)
Person(s) who is (are) responsible for the content of the research dataLehmann, Matthias - Technische Universität Dresden (ORCID: 0000-0002-6407-3028)
Used research instruments or devicesDJI Mini 2
Research objectsOther: Traffic observation videos of an intersection
AbstractThe 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.
Applied methods and techniquesThe 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.
Table of contents- Sample video data - Sample trajectory data - Video data - Trajectory data - ListDBApp to collect metadata - ListDB codebook to specify the metadata
Counties, the data is referencingGERMANYde
Coordinates of places, the data is referencing51.036753, 13.705006
Regions the data is referencingSaxony
Regions the data is referencingDresden
Additional keywordsdrone
Additional keywordsuav
Additional keywordstraffic observation
Additional keywordstrajectories
Additional keywordsData From Sky
Additional keywordsvideo analysis
Additional keywordsobject detection
Additional keywordstraffic scenario
Additional keywordsautonomous driving
Languageeng
Year or period of data production2022-2023
Publication year2023
PublisherTechnische Universität Dresden
References on related materialsIsPartOf: 123456789/5882 (Handle)
References on related materialsIsPartOf: https://w3id.org/listdb/onto (URL)
References on related materialsIsDocumentedBy: https://index.mirasmart.com/27esv/PDFfiles/27ESV-000122.pdf (URL)
Content of the research dataText, 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)
Holder of usage rightsTechnische Universität Dresden
Usage rights of the dataCC-BY-NC-4.0
SoftwareResource Production: ListDBApp (Android; self-developed)
SoftwareResource Processing: Data From Sky Traffic Survey
Discipline(s)Engineeringde
Title of the datasetListDB RepOne: 3 months (Jun'22-Aug'22) of drone videos and trajectories at a 3-way intersection


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This item appears in the following Collection(s)

  • 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

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