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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
1,664 datasets
Aboveground biomass estimates for areas in the Great Slave Lake Region of Canada's Northwest Territories for 2019. The data was derived from L-band synthetic aperture radar (SAR) data from JAXA's ALOS-2 satellite and NASA's UAVSAR instrument, calibrated with in situ measurements from 14 plots. Estimates are provided in 20-Mg ha-1 bins at 100-meter resolution in cloud optimized GeoTIFF format.
HALO instrument data sampled at 0.5-second and 1.25-meter vertical resolutions during airborne campaigns over North America. This dataset from NASA's 2019 ACT-America campaign includes profiles of aerosol optical properties, mixed layer heights, and tropospheric methane columns. Measurements were collected from a C-130 aircraft operating out of three bases in the central and eastern United States.
Fifty photogrammetric samples from 15 unrestrained leopard seals were collected via small Unmanned Aerial System (UAS) flights in January and February of 2013 and 2014. This dataset was created to test the precision and accuracy of UAS photogrammetry for estimating seal mass and body condition. It provides a noninvasive method for pinniped morphometrics that may be widely applicable.
A dataset hosted on Hugging Face by fengyi233, last updated on 2026-04-07. The description suggests it contains synthetic driving scene data from the CARLA simulator, organized into sequences with camera images, LiDAR data, and occupancy grids for foreground and background actors.
Daly City, California experienced landslides in December 2003 and January 2007, sending debris up to 290 meters downhill and 90 meters into the ocean. The U.S. Geological Survey collected high-resolution terrestrial LIDAR data to map these events. The dataset includes downloadable contour data, images, and metadata, along with geometric and volumetric measurements.
2021 terrestrial LiDAR data captures detailed 3D vegetation structure at the Calperum Mallee SuperSite in South Australia. The dataset is part of a standardised national collection by the Terrestrial Ecosystem Research Network aimed at understanding vegetation dynamics and ecosystem function.
A geospatial habitat model for Whitebark Pine in Alberta, created from LiDAR data with 1-square-meter pixel resolution. The model incorporates variables like elevation, aspect, slope, landscape mesotopography, and canopy height. It was produced under contract for Alberta Forestry and Parks in 2015-2016, with accuracy assessed against field observations.
Worldengine is an open-source, production-validated framework for Physical AI post-training in autonomous driving. It is a joint effort by OpenDriveLab at The University of Hong Kong, Huawei Inc., and the Shanghai Innovation Institute. The dataset page was last updated on 2026-04 10.
NASA's Cloud-Aerosol Transport System (CATS) instrument on the International Space Station collected calibrated lidar profile data from February 10, 2015 to March 21, 2015. The instrument orbited between approximately 230 and 270 miles above Earth's surface, providing vertical profiles at three wavelengths. This Level 1B data product enabled the first study of diurnal changes in cloud and aerosol effects from space.
Thermal-UAV is a dataset for cross-modal thermal geo-localization, designed for Unmanned Aerial Vehicles in GNSS-denied environments. It addresses the modality gap between thermal queries and visible-light satellite imagery. The dataset was created by FloralHercules and was last updated in April 2026.
HI_NOAAMauiOahu_3_B20 is a QL1 lidar dataset covering approximately 306 square miles on the eastern side of Hawaii's Big Island. The National Oceanic and Atmospheric Administration (NOAA) and the USGS managed the project, with data collected between February 14 and March 15, 2023. The processed data is delivered as 3,450 individual 500-meter tiles in LAZ 1.4 format, collected at an aggregate nominal pulse spacing of 0.35 meters.
2022-2023 NOAA-USGS lidar collection covers approximately 1,428 square miles across Kahoolawe, Lanai, Maui, Molokai, and Oahu. Data is delivered as processed LAZ 1.4 files formatted to 16,760 individual 500-meter tiles, collected at an aggregate nominal pulse spacing of 0.35 meters and 8 points per square meter. The project was conducted by Woolpert and the USGS, with specifications based on the National Geospatial Program Lidar Base Specification Version 2.1.
23 sets of aerial lidar data collected in Texas between 2014 and 2018 were processed into rasters of tree canopy heights, expressed in meters. The data were created by the Department of the Interior and were used to model habitat for the golden-cheeked warbler. The dataset includes files in XML, JSONLD, and ZIP formats.
Fifteen geotiff files provide 4m to 32m resolution bathymetric data from a 47-day marine survey aboard the RV Falkor. The dataset, published by Geoscience Australia, maps submarine canyons, drowned reefs, and seabed features in the frontier Cape York Peninsula region and the Swain slide underwater landslide.
A 10-year cross-sectional analysis of U.S. military Unmanned Aerial Vehicle (UAV) mishaps. The study reviewed 221 Class A-C mishap reports, finding 133 (60.2%) were human-related. Human factors were coded using the Human Factors Analysis and Classification System (HFACS), with statistical models identifying different predictors of unsafe acts across Air Force, Army, and Navy services.
The Altus II Unmanned Aerial Vehicle (Altus II UAV) system recorded aircraft and mechanical data during the Altus Cumulus Electrification Study (ACES) based at the Naval Air Facility Key West in Florida. ACES aimed to provide observations of cloud electrification and validate satellite lightning measurements. The National Aeronautics and Space Administration (NASA) made the data available from July 10 through August 30, 2002.
Aggregating terrestrial LiDAR point cloud data capturing detailed 3D vegetation structure at the Tumbarumba Wet Eucalypt site in Bago State Forest, New South Wales, Australia. It was collected in 2022 as part of the Terrestrial Ecosystem Research Network's standardized national data collection effort to study vegetation dynamics and ecosystem function.
A pilot bathymetric LiDAR survey mapped nearshore areas of Dundrum Bay and Carlingford Lough in 2021. Natural colour orthophotography was captured simultaneously as part of the NI 3D Coastal Survey. The dataset is provided by OpenDataNI under the OGL-UK-3.0 license.
Featuring terrestrial LiDAR point cloud data capturing detailed 3D vegetation structure from the Warra Tall Eucalypt SuperSite in southern Tasmania, Australia. It was collected in 2023 by the Terrestrial Ecosystem Research Network (TERN) as part of a standardized national monitoring effort.
Aggregating terrestrial LiDAR point cloud data capturing detailed 3D vegetation structure from the Litchfield Savanna SuperSite in Australia's Northern Territory in 2021. It was collected by the Terrestrial Ecosystem Research Network (TERN) as part of a standardized national effort to monitor ecosystem function and vegetation dynamics.