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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
1,664 datasets
LiDAR and RGB orthophotos from 2009 cover the entire Snohomish River estuary. The dataset supports comprehensive abiotic and biotic monitoring of the Qwuloolt estuarine levee breach restoration at a 150-hectare site. It was published by the National Oceanic and Atmospheric Administration, Department of Commerce.
Replication data for a forthcoming article in the journal Comparative Politics. The dataset was authored by Phillip Ayoub and hosted on Harvard Dataverse. It was last updated on April 28, 2026.
A 62.3 KB dataset containing comparative analysis of UAV-enabled IoT and 6G communication frameworks. The data, authored by M. Rudra Kumar, includes tags related to high data rates, Terahertz communications, and UAV positioning and optimization.
41.5 KB dataset from M. Rudra Kumar, last updated in March 2026. It contains data related to optimizing Unmanned Aerial Vehicle (UAV) and Reconfigurable Intelligent Surface (IRS) height for maximizing signal strength in Terahertz communications. The dataset supports research into improving propagation conditions and achieving high data rates in next-generation wireless networks.
System architecture data for a Reconfigurable Intelligent Surface (RIS)-assisted Unmanned Aerial Vehicle (UAV) communication network. The dataset, shared by author M. Rudra Kumar in March 2026, focuses on enhancing Terahertz communications and UAV positioning to improve propagation conditions and achieve high data rates.
Multi-Perspective Dataset of Plains Zebras provides synchronized per-frame telemetry from four DJI Mini 4 Pro drones operating simultaneously. The data was collected by author edouard-rolland at Ol Pejeta and was last updated on March 23, 2026.
Paul Lushenko's dataset, hosted by Harvard Dataverse, investigates how target identities shape public perceptions of drone strike legitimacy. The dataset was last updated on April 27, 2026. Its specific content likely contains survey or experimental data related to public attitudes towards military technology.
NVIDIA released 918 dynamic neural reconstructions of driving scenes in March 2026, each lasting approximately 20 seconds. The data consists of .usdz files and surface meshes generated from a specialized six-camera sensor suite.
Data collected for NOAA's Deepwater Horizon Lessons Learned Studies on detecting oil thickness and emulsion mixtures. The research involved synoptic collection of satellite and airborne imagery, surface oil characterization, and subsurface data at the MC20 site, which has a chronic oil discharge. This field research was primarily funded by the U.S. Department of the Interior and NOAA through an interagency agreement.
2016-2018 data collected as part of NOAA's Deepwater Horizon lessons learned study on oil slick detection. The dataset contains remote sensing imagery and field data from the Mississippi Canyon lease block #20 (MC20), a site of a chronic oil discharge. Research was funded by the U.S. Department of the Interior, Bureau of Safety and Environmental Enforcement, and NOAA.
LiDAR data collected by the Scottish public sector is available as point clouds and derived terrain models. The dataset comprises multiple subsets commissioned for different organizational requirements, with details accessible via a provided remote sensing portal. Data is offered under the Open Government Licence v3, with a non-commercial exception for one specific phase.
A dataset from the Hugging Face platform by author moonjongsul, last updated on 2026-05-07. The title suggests it relates to kitting operations in manufacturing, likely involving objects that are flipped. The specific content, scale, and collection method are not detailed in the provided metadata.
Airborne imaging data from the G-LiHT mission provides information on aircraft attitude, altitude, and view angles. The data is processed as GeoTIFF rasters at 1-meter spatial resolution for local areas across North America. It is produced by NASA's Goddard Space Flight Center.
SAR UAV Results is a dataset published on HuggingFace by author duy95. The title suggests it contains results from Synthetic Aperture Radar (SAR) sensors mounted on Unmanned Aerial Vehicles (UAVs). The dataset was last updated on 2026-05-07.
Co-aligned hyperspectral and LiDAR data covers four sites of European beech forest in Germany's Rhӧn Biosphere Reserve. Data was collected via UAV in September 2020 to assess canopy damage from a 2018/2019 extreme drought event. Hyperspectral images have approximately 5cm pixel resolution.
DAAD-X is a video-based explanations dataset derived from the DAAD dataset for driver intention prediction. It contains explanations for each maneuver instance, intended to advance research into explainable autonomous driving and ADAS systems. The dataset was created by Skyrmion and was last updated on March 19, 2026.
BlueTopo is a definitive nationwide model of seafloor and lakebed depths for navigationally significant U.S. waters, compiled by NOAA's Office of Coast Survey. It integrates bathymetric data from NOAA and U.S. Army Corps of Engineers surveys, lidar, and external submissions, with gaps filled using the Global Multi-Resolution Topography model. The dataset includes metadata with quality metrics to guide appropriate use.
2017-18 data collected by a fleet of manually driven Ford Fusion vehicles on a 66 km route in Michigan. The dataset captures seasonal variations in weather, lighting, construction, and traffic across urban, freeway, airport, and suburban scenarios. It was created by Ford Motor Company and includes raw sensor data, calibration, pose trajectories, and 3D maps in ROS bag format.
Featuring segmentation results from multiple models applied to the UAVid dataset. The data is stored in an XLS file sized 9.5 KB. It was authored by Xin Wang and last updated in March 2026.
Comprising ablation study results measuring mIoU (%) for the Potsdam, Vaihingen, UAVid, and MSIDBG remote sensing image datasets. The data is provided in an XLS file with a size of 5.5 KB. It was authored by Xin Wang and last updated in March 2026.