https://opara.zih.tu-dresden.de/xmlui/handle/123456789/5830 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 2026-04-06T00:20:10Z https://opara.zih.tu-dresden.de/xmlui/handle/123456789/5894 ListDB RepThree: Stationary camera videos and trajectories at a signalized 3-way intersection taken on different Wednesdays over a 3-year period (2019, 2020 with Covid-19 lockdown, 2022) Bäumler, Maximilian The dataset can be used to study road traffic before, during, and after Covid-19. Moreover, the dataset can help to derive test scenarios for scenario-based testing, for example. The dataset includes seven days of drone videos and their corresponding trajectories recorded in Dresden, Germany, at a signalized 3-way intersection. Data collection in 2020 also took place on days with Covid-19 conditional lockdown, including curfew. 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 2019-2022. 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: 1056 minutes of video (2019: 160 minutes / 2020: 560 minutes / 2022: 336 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. 2023-01-01T00:00:00Z https://opara.zih.tu-dresden.de/xmlui/handle/123456789/5889 ListDB RepTwo: 3 months (Jun'22-Aug'22) of drone videos and trajectories at a 4-way intersection Bäumler, Maximilian; Lehmann, Matthias 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. 2023-01-01T00:00:00Z https://opara.zih.tu-dresden.de/xmlui/handle/123456789/5888 ListDB RepOne: 3 months (Jun'22-Aug'22) of drone videos and trajectories at a 3-way intersection Bäumler, Maximilian; Lehmann, Matthias 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. 2023-01-01T00:00:00Z https://opara.zih.tu-dresden.de/xmlui/handle/123456789/5843 ListDB drone videos: Road traffic accident and interaction with VRUs The dataset includes two drone videos (excerpts) recorded in Dresden, Germany, at a 4-way intersection. The first video shows a minor property damage accident, the second video shows an interaction between a car and pedestrians. The car allows the pedestrians to pass. Extensive metadata is available for each of the two videos, which was coded according to the ListDB specification (w3id.org/listdb). The ListDB itself is intended to help researchers collect their traffic data in a uniform and comparable way. A German paper can be found here: https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-833252