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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
2,016 datasets
U.S. Federal Aviation Administration data on drone sightings reported by pilots from 2019 to 2026. The dataset likely contains records of encounters between manned aircraft and unmanned aerial systems. It is published on Kaggle, but the specific record count and detailed column structure are unknown.
NASA Langley HSRL-2 lidar data from five nighttime flights under the CALIPSO satellite track in August 2022. The deployment collected 17.7 hours of flight data over 2,200 km in the western Atlantic Ocean to verify satellite calibration and aerosol retrievals. The National Aeronautics and Space Administration conducted these flights from Bermuda.
CALIPSO Lidar Level 0 PIVB data contains raw, unprocessed altitude-dependent profiles of backscatter signals at 15-meter resolution. These data were collected intermittently between August 2016 and June 2023 using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument on the CALIPSO satellite. The product includes time and position information for each laser pulse, instrument engineering data, and measurement altitudes.
LejuRobotics collected this dataset using the Kuavo 4 Pro full-size humanoid robot. It covers multi-task data across multiple real-world scenarios and operation types, supporting scalable robot learning. The dataset was last updated on April 15, 2026.
Fifteen geotiff files at 4m to 32m resolution contain bathymetry data from the Northern Depths of the Great Barrier Reef survey. The 47-day survey on RV Falkor in 2020 mapped the Cape York Peninsula region, Swain slide, and eastern Coral Sea reefs using Kongsberg EM302 and EM710 multibeam systems. Geoscience Australia published this dataset, which is not for navigational use.
Arctic oceanographic lidar profiles from the Chukchi and Beaufort Seas were collected in July 2017. NOAA NCEI processed the data to quantify ice coverage and identify subsurface phytoplankton layers, analyzing their scattering strength, depth, and thickness. Power spectral density functions were also calculated for transects over Barrow Canyon to study turbulence.
Yunqi Liao's research dataset on figshare supports a distributed differential game framework for multi-UAV cooperative inspection. The 9.5 KB Excel file contains simulation results for energy-aware trajectory planning in offshore wind farms. Data demonstrates enhanced inspection efficiency and collision-free coordination under round-trip energy constraints.
Approximately 40 million moral choice responses related to self-driving car scenarios were collected globally. The data originates from a Kaggle platform and has been cleaned and sampled. The author, organization, and specific time range are unknown.
VisDrone is a dataset for computer vision tasks, likely containing images and annotations from drone-captured scenes. It is published on Kaggle, but detailed metadata such as the number of images, specific annotation types, and creation details are not provided in the input. The dataset's content and scale require verification after download.
OpenDataNI provides a Digital Surface Model derived from a 2021 airborne LiDAR survey of the Northern Ireland coastline. The survey captured the intertidal area and extended approximately 200 meters landward of the high-water mark. This dataset offers precise and accurate data on current coastal morphology.
A Digital Terrain Model (DTM) derived from a complete airborne LiDAR survey of the Northern Ireland coastline conducted in 2021. The survey captured precise data of coastal morphology, covering the intertidal area and extending approximately 200 meters landward of the high-water mark. The dataset is provided by OpenDataNI under the OGL-UK-3.0 license.
Northern Ireland's coastline was surveyed in 2021 using airborne LiDAR. The data provides a precise Digital Terrain Model covering the intertidal area and extending approximately 200 meters landward of the high-water mark. The dataset is published by OpenDataNI under the OGL-UK-3.0 license.
A multi-season dataset for robot navigation recorded in the boreal forest environment of Forêt Montmorency. It provides synchronized multi-modal sensor data from two lidars, an FMCW radar, stereo and monocular cameras, dual IMUs, wheel odometry, power data, and precise ground-truth trajectories via GNSS-PPK fusion. The dataset was created by Norlab at Université Laval and is hosted on AWS Open Data.
A dataset combining SeaDroneSee and VisDrone collections, likely containing aerial imagery for computer vision tasks. It is hosted on Kaggle, a platform for data science competitions and projects. The specific collection date, author, and dataset size are not provided in the available metadata.
VisDrone-SeaDroneSee is a dataset hosted on Kaggle. The title suggests it contains imagery captured by drones, likely for computer vision tasks such as object detection or tracking. Specific details regarding its size, collection method, and authorship are not provided in the available metadata.
Statistics on adults receiving the Social Solidarity Program in Québec. The dataset is provided by the Government and Municipalities of Québec and was last updated on March 25, 2026. It is available in HTML, PDF, and CSV formats under a CC-BY-4.0 license.
UAV Battery Monitoring Dataset contains records related to the health and charge state of unmanned aerial vehicle batteries. The dataset is hosted on Kaggle, but details on its size, specific features, and collection methodology are not provided. Its content likely includes time-series measurements for battery performance analysis.
Blueflux provides terrestrial laser scanner point clouds capturing three-dimensional mangrove forest structure and volume from 10 sites in Everglades National Park, Florida. The data were collected by NASA CMS campaigns using a RIEGL VZ-400i scanner across three field efforts in March 2022, October 2022, and March 2023. Data are stored in the LAS format.
Ocean LiDAR measurements collected in the Tropical Western Pacific Ocean. The dataset contains observations recorded over a seven-year period from 1994 to 2001. It is hosted by the OB_DAAC organization and is available on multiple government data platforms.
A dataset of drone-captured imagery, likely for computer vision research. It is hosted on the Kaggle platform. The specific scale, collection method, and temporal coverage are not detailed in the available metadata.