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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
1,662 datasets
Germany is the geographic scope for this multi-modal driving dataset. It contains 28 sequences of sensor data, including stereo camera images, LiDAR, and depth annotations. The dataset was created by CARD-Data and was last updated on May 16, 2026.
Diverse Weather DroneVehicle is a UAV-based object detection benchmark derived from the VisDrone/DroneVehicle dataset. It provides COCO-style annotations organized into four weather and illumination domains: day, dark, extreme_dark, and foggy. The dataset was created by author mingbohong and last updated on HuggingFace in May 2026.
UAVLight is a benchmark dataset for evaluating 3D reconstruction and novel-view synthesis under challenging outdoor illumination. The dataset focuses on real-world UAV scenes where appearance changes significantly due to sunlight direction, cast shadows, and exposure variation. It was created by author 'dukang92' and was last updated on Hugging Face in May 2026.
Government and Municipalities of Québec publishes statistics on adults receiving the Social Solidarity Program. The data likely contains breakdowns by beneficiary type and selected demographic or socioeconomic characteristics. It was last updated on April 17, 2026.
Late 2014 airborne LiDAR data covers approximately 100,000 hectares of forested land across 90 sites in Kalimantan, Indonesia, on Borneo. The dataset was collected by ORNL_CLOUD as part of an effort to establish a national forest monitoring system for Indonesia. It supports a combination of remote sensing and ground-based forest carbon inventory approaches.
545 airborne lidar transects from the 2016 Amazon Biomass Estimation Project provide forest structure data aggregated into over 1,300,000 columns and 288 grid cells across the Brazilian Amazon. The dataset includes three file types for the Ecosystem Demography Model (ED2): site files for soil and terrain, patch files for location and biomass, and cohort files for individual stem characteristics. Data were compiled by ORNL_CLOUD and are hosted on multiple government platforms.
SEAC4RS airborne field study data were collected from a NASA DC-8 aircraft based in Houston, Texas, during August and September 2013. The dataset contains Differential Absorption Lidar (DIAL) measurements focused on trace gases, aerosols, and cloud properties in the troposphere. It was designed to study pollutant redistribution from deep convection, aerosol-climate feedbacks, and to serve as a calibration test bed for satellite missions.
A sample dataset from ExylosAi provides synchronized data for bimanual robot manipulation on a tabletop spill cleanup task. It includes dual-arm state trajectories, seven RGB camera streams, depth maps, segmentation masks, object poses, phase annotations, and a cleanup success metric. The dataset was last updated on May 17, 2026.
Dry Season 2000 data from two Micro-Pulse Lidar systems deployed in Mongu, Zambia and Skukuza, South Africa for the SAFARI 2000 experiment. The dataset captures the vertical distribution and optical properties of smoke from biomass burning in the region. It is provided by ORNL_CLOUD and is available across multiple data platforms.
A set of simulation parameters for a two-user UAV-assisted NOMA-based wireless communication system. The parameters are provided in an Excel file by author Sk Thaherbasha and were last updated on May 8, 2026. The dataset is licensed under CC-BY-4.0.
Sk Thaherbasha published a dataset on figshare in May 2026 for the outage analysis of a two-user UAV-assisted Non-Orthogonal Multiple Access (NOMA) system. The dataset, which is 5.5 KB in size, is provided in an XLS file format and is licensed under CC-BY-4.0. It likely contains simulation or analytical results evaluating system performance under various impairments.
Floating LiDAR buoy data measures meteorological and oceanographic conditions to support offshore wind energy development. The multi-year project deployed buoys at multiple locations in the New York Bight, collecting turbine hub-height wind speed and direction, wave, and current measurements. The data collection began in August 2019 and was executed by the New York State Energy Research and Development Authority (NYSERDA).
NYSERDA's Floating LiDAR BUOY Data contains meteorological and oceanographic measurements from buoys deployed in the Atlantic waters off New York. The multi-year project supports the state's Green New Deal by providing data for offshore wind development. Data collection began in August 2019 from locations including Hudson South and Hudson North.
Urban perimeters in Quebec, including Rouyn, Noranda, Granada, Évain, Lac-Dufault, and the airport, have topographic level curves derived from a May 2014 LiDAR survey. The data features an equidistance of 25 cm with absolute planimetric accuracy of approximately 40 cm and altimeter accuracy of approximately 20 cm. It is provided in multiple geospatial formats including GEOJSON, CSV, and KML.
CALIPSO satellite data provides global vertical profiles of cloud and aerosol properties from 2006 to 2023. The lidar-based product reports particulate extinction, backscatter, and depolarization ratios at a nominal resolution of 60 meters vertically and 5 kilometers horizontally, covering altitudes from -0.5 km to 30 km. This dataset supports the study of cloud and aerosol roles in Earth's climate and radiation budget.
Juan Camilo León Pamplona's database supports a discussion on integrating artificial intelligence into drone systems and the principle of meaningful human control. The dataset is a 16.6 KB XLSX file, indicating a small-scale, structured collection. It was last updated on April 6, 2026, under a CC-BY-4.0 license.
A dataset by Feng Li, last updated on May 7, 2026, and shared on figshare under a CC-BY-4.0 license. It contains path planning time decomposition data for three real-world environment maps. The dataset is stored in an XLS file and is 13.5 KB in size.
Feng Li published a dataset of parameters used for path planning with the ant colony algorithm on figshare. The dataset is a 5.5 KB XLS file last updated on May 7, 2026. Row count and column-level details are not provided in the metadata.
Hui Wu published a dataset on figshare titled 'Optimal sensor fusion scheme for different areas and heights' on 2026-05-07. The dataset is a 5.5 KB XLS file available under a CC-BY-4.0 license. Its specific content and row count are not detailed in the provided metadata.
Screening results of sensor fusion solutions for four major areas at different flight heights. The dataset is a 17.5 KB Excel file authored by Hui Wu and last updated on May 7, 2026. It is available under a CC-BY-4.0 license on the figshare platform.