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RACECAR Dataset |
from the University of Virginia is the first open dataset for full-scale and high-speed autonomous racing. RACECAR is suitable to explore issues regarding localization, object detection and tracking (LiDAR, Radar, and Camera), and mapping that arise at the limits of operation of the autonomous vehicle. You can get started with RACECAR with this |
SageMaker Studio Lab notebook |
. |
Aurora Multi-Sensor Dataset |
from Aurora Operations, Inc. is a large-scale multi-sensor dataset with highly accurate localization ground truth, captured between January 2017 and February 2018 in the metropolitan area of Pittsburgh, PA, USA. The de-identified dataset contains rich metadata, such as weather and semantic segmentation, and spans all four seasons, rain, snow, overcast and sunny days, different times of day, and a variety of traffic conditions. This data can be used to develop and evaluate large-scale long-term approaches to autonomous vehicle localization. Aurora is applicable to many research areas including 3D reconstruction, virtual tourism, HD map construction, and map compression. |
Full list of new or updated datasets |
These three datasets join 33 other new or updated datasets on the Registry of Open Data in the following categories. |
Climate and weather: |
ECMWF real-time forecasts |
from |
European Centre for Medium-Range Weather Forecasts |
NOAA Wang Sheeley Arge (WSA) Enlil |
from the National Oceanic and Atmospheric Administration (NOAA) |
ONS Open Data Portal |
from |
National Electric System Operator |
of Brazil |
Pohang Canal Dataset: A Multimodal Maritime Dataset for Autonomous Navigation in Restricted Waters |
from the Mobile Robotics & Intelligence Laboratory (MORIN Lab) |
Sup3rCC |
from |
National Renewable Energy Laboratory |
EURO-CORDEX – European component of the Coordinated Regional Downscaling Experiment |
from |
Helmholtz Centre Hereon / GERICS |
Geospatial: |
Astrophysics Division Galaxy Segmentation Benchmark Dataset |
from the National Aeronautics and Space Administration (NASA) |
Astrophysics Division Galaxy Morphology Benchmark Dataset |
from NASA |
ESA WorldCover Sentinel-1 and Sentinel-2 10m Annual Composites |
from the European Space Agency |
Korean Meteorological Agency (KMA) GK-2A Satellite Data |
from the Korean Meteorological Agency |
NASA / USGS Controlled Europa DTMs |
from NASA |
NASA / USGS Mars Reconnaissance Orbiter (MRO) Context Camera (CTX) Targeted DTMs |
from NASA |
Nighttime-Fire-Flare |
from |
Universities Space Research Association (USRA) |
and |
NASA Black Marble |
PALSAR-2 ScanSAR Tropical Cyclone Mocha (L2.1) |
from the Japan Aerospace Exploration Agency (JAXA) |
PALSAR-2 ScanSAR Flooding in Rwanda (L2.1) |
from JAXA |
Solar Dynamics Observatory (SDO) Machine Learning Dataset |
from NASA |