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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
1,664 datasets
PhysicalAI-Autonomous-Vehicle-Cosmos-Drive-Dreams is a dataset for autonomous vehicle research, hosted by author fuzirui on Hugging Face. The dataset was last updated on April 12, 2026. The description mentions downloadable components including high-definition maps, lidar data, and synthetic data.
Tokyo, Japan is the geographic scope of this sample subset of a large-scale autonomous driving dataset. The data comprises over 100 hours of driving data, is stored in nuScenes format, and was authored by turing-motors. The dataset page was last updated on 2026-03-27.
Six high-resolution photomosaic TIFF images document benthic communities across six 10m x 10m reef plots at Cheeca Rocks Coral Reef in Islamorada, Florida. The dataset was produced by NOAA's Coral Reef Conservation Program as part of the National Coral Reef Monitoring Program on July 11, 2016. Each mosaic is a composite of 1500-3000 individual underwater images, stitched together using Agisoft Photoscan to create a landscape view of the reef.
Madagascar highlands data from a study analyzing the effect of age and fertilization on Eucalyptus robusta biomass. The collection includes destructive biomass measurements for 64 trees, forest inventory data for 2598 trees across 22 plots, and UAV-derived canopy data from two flights over six plots. Data was collected between 2017 and 2021 as part of the EU-DIABE project for a doctoral thesis.
Airborne LiDAR elevation data collected on September 18, 1999, following Hurricane Floyd's landfall in North Carolina. The data covers the coastline from South Carolina into Virginia, measuring ground elevation from the low water line to the base of sand dunes. The dataset was produced by the NOAA Office for Coastal Management as part of the ALACE project.
PrivateMap-Bench is a benchmark dataset for evaluating privacy leakage and utility loss in indoor Simultaneous Localization and Mapping (SLAM) map sharing. It contains sanitized SLAM artifacts, processed results, and executable code for reproducing the NeurIPS 2026 processed-artifact benchmark. The benchmark evaluates floor-plan, room-graph, trajectory, and routine leakage, as well as map compactness and navigation utility across 15 TurtleBot4 runs from three indoor layout variants.
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.
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.
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.
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.
Two experimental missions from April 2015 to September 2016 collected near-surface environmental data in the Bering Sea using autonomous Saildrone vehicles. The dataset includes over 20 variables such as water temperature, salinity, chlorophyll-a, ocean currents, wind speed, air temperature, and pressure, recorded by instruments like thermosalinographs, ADCPs, and fluorometers. These experimental data were collected by NOAA's Pacific Marine Environmental Laboratory and Saildrone LLC under a CRADA to assess the platform's viability.