mlsanityData to 7 Oct 2026

Ad-datasets: a meta-collection of data sets for autonomous driving

arXiv 2202.01909 ↗First posted 3 Feb 2022cs.LGcited by 11

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Abstract (arXiv)

Autonomous driving is among the largest domains in which deep learning has been fundamental for progress within the last years. The rise of datasets went hand in hand with this development. All the more striking is the fact that researchers do not have a tool available that provides a quick, comprehensive and up-to-date overview of data sets and their features in the domain of autonomous driving. In this paper, we present ad-datasets, an online tool that provides such an overview for more than 150 data sets. The tool enables users to sort and filter the data sets according to currently 16 different categories. ad-datasets is an open-source project with community contributions. It is in constant development, ensuring that the content stays up-to-date.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 31 of its 82 references that are in the map. First posted on arXiv 3 Feb 2022.

Builds on

31 of 82 references.

References · 31

  1. 2019nuScenes: A multimodal dataset for autonomous drivingcited by 4,485
  2. 2016The Cityscapes Dataset for Semantic Urban Scene Understandingcited by 4,427
  3. 2019Scalability in Perception for Autonomous Driving: Waymo Open Datasetcited by 2,436
  4. 2018BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learningcited by 1,282
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  6. 2021Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Datasetcited by 532
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  9. 2019INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Mapscited by 231
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  11. 2018The ApolloScape Open Dataset for Autonomous Driving and its Applicationcited by 188
  12. 2018IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environmentscited by 163
19 more
  1. 2021SegmentMeIfYouCan: A Benchmark for Anomaly Segmentationcited by 150
  2. 2019The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Datasetcited by 133
  3. 2019The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentationcited by 122
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  5. 2018Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsingcited by 105
  6. 2020RADIATE: A Radar Dataset for Automotive Perception in Bad Weathercited by 98
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  8. 2019The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenescited by 80
  9. 2021RadarScenes: A Real-World Radar Point Cloud Data Set for Automotive Applicationscited by 61
  10. 2020DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Predictioncited by 56
  11. 20204Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Drivingcited by 51
  12. 2015Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfercited by 39
  13. 2020Ford Multi-AV Seasonal Datasetcited by 39
  14. 2020Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detectioncited by 39
  15. 2018A Commute in Data: The comma2k19 Datasetcited by 33
  16. 2021An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Drivingcited by 33
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  19. 2019Driving Datasets Literature Reviewcited by 2

Built on by

Cited by year

Citing papers per year: 2022: 3; 2023: 4; 2024: 3; 2025: 1.

11 papers.

  1. 2024A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlookcited by 65
  2. 2023Perception Datasets for Anomaly Detection in Autonomous Driving: A Surveycited by 16
  3. 2024AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Drivingcited by 14
  4. 2023Exploring the Potential of World Models for Anomaly Detection in Autonomous Drivingcited by 7
  5. 2023Unveiling Objects with SOLA: An Annotation-Free Image Search on the Object Level for Automotive Data Setscited by 5
  6. 2022Multimodal Detection of Unknown Objects on Roads for Autonomous Drivingcited by 4
  7. 2025Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selectioncited by 3
  8. 2022Quantification of Actual Road User Behavior on the Basis of Given Traffic Rulescited by 2
  9. 2022Experiments on Anomaly Detection in Autonomous Driving by Forward-Backward Style Transferscited by 1
  10. 2023Conditioning Latent-Space Clusters for Real-World Anomaly Classificationcited by 1
  11. 2024Towards Scenario- and Capability-Driven Dataset Development and Evaluation: An Approach in the Context of Mapless Automated Drivingcited by 0