- Apollo Scape
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Agarwal etc. al (2020): Ford Multi-AV Seasonal Dataset. arXiv:2003.07969, Ford AV Datasets
- Behley et al. (2019): SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences. arXiv:1904.01416
- Bosch Small Traffic Lights Dataset
- Object detection dataset for traffic lights in road recordings
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Braun et al. (2019): The EuroCity Persons Dataset. link
- Caesar et al. (2019): nuScenes: A multimodal dataset for autonomous driving. arXiv:1903.11027; nuScenes includes RADAR data as well
- CARLA Imitation learning
- Change et al. (2019): Argoverse: 3D Tracking and Forecasting with Rich Maps. CVPR 2019.PDF.
- Chen et al. (2016): Anticipating Accidents in Dashcam Videos. ACCV 2016 Oral.
- Chilean Underground Mine Dataset
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Déziel et al. (2021): PixSet : An Opportunity for 3D Computer Vision to Go Beyond Point Clouds With a Full-Waveform LiDAR Dataset. arXiv: 2102.12010, Leddar PixSet
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Geyer et al. (2020): A2D2: Audi Autonomous Driving Dataset. arXiv: 2004.06320; A2D2
- Kesten et al. (2019): Lyft Level 5 AV Dataset 2019
- Maddern et al. (2016): 1 Year, 1000km: The Oxford RobotCar Dataset. The International Journal of Robotics Research (IJRR), 2016. pdf
- Mallios et al. (2017): Underwater caves sonar and vision data set. The International Journal of Robotics Research, 2017 (36), 1247-1251. doi: 10.1177/0278364917732838
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Schafer et al. (2018): A Commute in Data: The comma2k19 Dataset. arXiv:1812.05752; comma2k19
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Udacity Self-Driving Car Dataset; relabeled on roboflow
- Yu et al. (2018): BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling. arXiv:1805.04687; Berkeley DeepDrive