ListDB RepTwo: 3 months (Jun'22-Aug'22) of drone videos and trajectories at a 4-way intersection
Contributing person | Bäumler, Maximilian (orcid: 0000-0003-4052-0572) | |
datacite.description.TableOfContents | - Sample video data - Sample trajectory data - Video data - Trajectory data - ListDBApp to collect metadata - ListDB codebook to specify the metadata | |
Documentation of the data | Videos containing traffic observation (.mp4) Minded trajectories (.csv; .tlgx) ListDBApp to collect metadata (.apk) Text files containing metadata (.txt; .csv) Codebook specifying the metadata (.pdf) 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. | |
Additional geographical or spatial references | 51.018819, 13.718199 | |
Additional geographical or spatial references | Saxony | |
Countries to which the data refer | GERMANY | |
References to related material | https://index.mirasmart.com/27esv/PDFfiles/27ESV-000122.pdf | |
References to related material | https://w3id.org/listdb/onto | |
Description of the data | ListDB: Representative datasets of video-based traffic observations 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 | |
Type of the data | Audiovisual | |
Type of the data | Software | |
Type of the data | Text | |
Type of the data | Dataset | |
Total size of the dataset | 647837080772 | |
Author | Bäumler, Maximilian | |
Author | Lehmann, Matthias | |
Upload date | 2023-06-21T14:33:37Z | |
Publication date | 2023-06-21T14:33:37Z | |
Publication date | 2026-06-11T15:44:38Z | |
Data of data creation | 2022-2023 | |
Publication date | 2023-06-21 | |
Abstract of the dataset | 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. | |
Public reference to this page | https://opara.zih.tu-dresden.de/handle/123456789/2651 | |
Public reference to this page | https://doi.org/10.25532/OPARA-230 | |
dc.language | eng | |
Publisher | Technische Universität Dresden | |
Licence | Attribution-NonCommercial 4.0 International | |
URI of the licence text | http://creativecommons.org/licenses/by-nc/4.0/ | |
Specification of the discipline(s) | 4 | |
Title of the dataset | ListDB RepTwo: 3 months (Jun'22-Aug'22) of drone videos and trajectories at a 4-way intersection | |
dc.title.alternative | Dresden (Germany): Kohlenstrasse / Dorfhainer Strasse | |
Research instruments | DJI Mini 2 | |
Underlying research object | Traffic observation videos of an intersection | |
Software | Data From Sky Traffic Survey | |
Software | ListDBApp (Android; self-developed) | |
Project abstract | The ListDB provides a uniform standard for collecting and describing video-based traffic observations, e.g. using drones. This project provides selected data sets, i.e. recorded videos including metadata. || (German) Publication: https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-833252 || ListDB Gitlab: w3id.org/listdb | |
Project title | ListDB - Leverage information on street traffic |
Files
Original bundle
- Name:
- 20230601_ListDB_Codebook_v2.4_public.pdf
- Size:
- 629.27 KB
- Format:
- Adobe Portable Document Format
- Description:
- ListDB Codebook specifying the metadata
- Name:
- 4W_DorKoh_Samples.zip
- Size:
- 237.88 MB
- Format:
- Description:
- Sample video (1 min) with corresponding metadata and mined trajectories
- Name:
- 4W_DorKoh_Trajectory_README.txt
- Size:
- 2 KB
- Format:
- Plain Text
- Description:
- Readme of trajectory data
- Name:
- 4W_DorKoh_Trajectory.zip
- Size:
- 847.89 MB
- Format:
- Description:
- All trajectory data
- Name:
- 4W_DorKoh_Video_README.txt
- Size:
- 1.27 KB
- Format:
- Plain Text
- Description:
- Readme of video data
- Name:
- ListDBApp_README.txt
- Size:
- 1.83 KB
- Format:
- Plain Text
- Description:
- Readme of ListDBApp
- Name:
- ListDBApp_v0.3.2.5.1_public.apk
- Size:
- 4.19 MB
- Format:
- Unknown data format
- Description:
- ListDBApp for collecting ListDB metadata
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