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Aurora Releases Open-Source Autonomous Driving Dataset
PITTSBURGH--(BUSINESS WIRE)-- Aurora Innovation, Inc. (NASDAQ: AUR) today publicly released the Aurora Multi-Sensor Dataset, a large-scale multi-sensor
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[{"type":"text","content":" PITTSBURGH--(BUSINESS WIRE)--\nAurora Innovation, Inc. (NASDAQ: AUR) today publicly released the Aurora Multi-Sensor Dataset, a large-scale multi-sensor dataset with localization ground truth, in collaboration with the University of Toronto.\n\n\nThe dataset contains rich metadata such as semantic segmentation and spans weather patterns during all four seasons, including rain, snow, overcast and sunny days, as well as different times of day, and a variety of traffic conditions. It is between one and two orders of magnitude larger than other publicly available localization datasets and can be used to develop and evaluate large-scale, long-term approaches to autonomous vehicle localization.\n\n\nThis dataset was previously introduced as PIT30M at the International Conference on Intelligent Robots and Systems (IROS) 2020, one of the world’s top robotics publication venues, in a paper that was nominated as a Finalist for Best Application Paper. Martinez, J., Doubov, S., Fan, J., Wang, S., Máttyus, G., & Urtasun, R. (2020, October). Pit30M: A benchmark for global localization in the age of self-driving cars. In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 4477-4484). IEEE.\n\n\nIn making this data broadly available to the academic community, Aurora hopes to contribute to meaningful engineering research and development that will spur continued progress in the autonomous systems field. The Aurora Multi-Sensor Dataset’s size and diversity also make it suitable for a wide range of research areas such as 3D reconstruction, HD map construction, and map compression, among others.\n\n\nThe Aurora Multi-Sensor Dataset was captured between January 2017 and February 2018 in the metropolitan area of Pittsburgh, PA, by Uber Advanced Technologies Group (ATG), which was acquired by Aurora in January 2021. The data was captured using a 64-beam Velodyne HDL-64E LiDAR sensor and seven 1920x1200-pixel resolution cameras including a forward-facing stereo pair and five wide-angle lenses covering a 360º view around the vehicle.\n\n\nThe Aurora Multi-Sensor Dataset is hosted on Amazon Simple Storage Service (S3), made available through the Open Data Sponsorship Program, and is intended for non-commercial academic use. It is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Li...