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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
1,664 datasets
figshare hosts parameters for a neural network-based deep reinforcement learning method used in multi-UAV cooperative inspection. The dataset, authored by Yunqi Liao, supports a distributed differential game framework for energy-aware trajectory planning. It is a small tabular dataset stored in an XLS file of 5.5 KB.
Zhaopeng Yuan's dataset examines the effect of a noise coefficient on path planning indicators, with results recorded at a confidence level of 0.7. The dataset is stored in an XLS file and was last updated on April 20, 2026. It is a small dataset with a file size of 5.5 KB.
Zhaopeng Yuan's 5.5 KB Excel file, uploaded to figshare on April 20, 2026, examines the effect of a noise coefficient on path planning metrics. The dataset likely contains tabular results from simulations or experiments where noise parameters were varied. Its small size suggests a focused study on a specific confidence threshold of 0.6.
Simulation data exploring the effect of a noise coefficient on path planning indicators at a fixed confidence level of 0.8. The dataset is a 5.5 KB XLS file authored by Zhaopeng Yuan and last updated on April 20, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
Zhaopeng Yuan authored this dataset, which was last updated on April 20, 2026. The 5.5 KB XLS file likely contains simulation results analyzing the effect of a noise coefficient on path planning performance indicators at a confidence level of 0.9.
figshare hosts ablation experiment results from the DPCNet model tested on the HIT-UAV dataset. The data, in an XLS file of 5.5 KB, compares model performance against a YOLO11n baseline, showing a 5.1% [email protected] improvement.
A kinematic dataset focusing on steady-state to transitional locomotion for lower-limb motion rehabilitation, created by Baoqian Wang. The dataset is 1.4 GB in size and was last updated on April 11, 2026. It is available under a CC-BY-4.0 license on the figshare platform.
A sensitivity study for a proposed novel D-STR protocol for UAV communication. The dataset is 5.7 MB in size and was authored by Amelia Samandari. It was last updated on April 24, 2026.
Four intensive field observation periods between 1986 and 1992 collected this dual-channel polarization sensitive lidar data. The Langley Research Center instrument was designed to monitor cloud properties between 3 km and 18 km altitude to improve general circulation models. NASA produced this data to investigate the life cycles and radiative properties of cirrus and marine stratocumulus cloud systems.
Lidar backscatter data from the First ISCCP Regional Experiment (FIRE) Cirrus Phase I field campaign. The dataset was collected by NASA's Langley Research Center using a dual-channel polarization sensitive lidar system during the intensive field observation period from October 13 to November 2, 1986. It is designed to improve understanding of cirrus cloud life cycles and their radiative properties for climate modeling.
Global satellite data from the CALIPSO mission's Imaging Infrared Radiometer (IIR). This Level 1B product provides half-orbit geolocated, calibrated radiances registered to a 1 km grid centered on the satellite's lidar track. The data is used to study the impact of clouds and aerosols on Earth's radiation budget and climate.
MIPS 915 MHz Doppler Wind Profiler data provides 15-minute averaged 3-D wind profiles, radial velocity, and backscatter intensity measurements. The dataset was collected by the University of Alabama in Huntsville's mobile atmospheric profiling system during the CAMEX-4 campaign. It is hosted by NASA's GHRC DAAC.
LASE_AFWEX data are Lidar Atmospheric Sensing Experiment water vapor and aerosol data measurements taken during ARM-FIRE Water Vapor Experiment. The LASE ARM-FIRE Water Vapor Experiment (AFWEX) field experiment was conducted from November 27 - December 15, 2000 at the ARM Southern Great Plains Cloud and Radiation Testbed (CART) Site site in Lamont, Oklahoma. LASE airborne lidar produces measurements of aerosols and water vapor vertical profiles from the aircraft altitude (6-8 km) down to the surface.
CALIPSO Lidar Level 3 Cloud Occurrence Data, Standard V1-00 reports global distributions of clouds on a uniform spatial grid derived from CALIOP instrument data. The product was generated with a temporal average of one month, but its generation and distribution ended in December 2016 due to laser degradation. CALIPSO is a joint NASA and CNES satellite mission launched in 2006, part of the A-Train constellation for studying clouds and aerosols.
1-meter resolution raster layers represent the canopy height model and digital terrain model for the Sabah Biodiversity Experiment in Malaysia. The Environmental Information Data Centre created these models from airborne LiDAR point cloud data collected in 2020. Data were collected to assess the effectiveness of restoration interventions for logged tropical forests.
Washington Island, Wisconsin, and the shores of Green Bay are covered by approximately 219 square miles of topobathy lidar data. The National Oceanic and Atmospheric Administration collected this data using a CZMIL Super Nova system between July 19 and August 16, 2022. It consists of 2,630 LAS tiles and includes classified points for ground, water surface, and bathymetric bottom.
A physically-grounded humanoid locomotion dataset created by Luckyt1, leveraging large-scale human motion data. The dataset was curated to overcome physical artifacts through physics-constrained retargeting, resulting in a high-quality resource for robotics research.
Code authored by Shunsuke Koseki generates 3D bipedal walking gaits and performs perturbation experiments. The simulation software is available under a CC-BY-4.0 license. The repository was last updated on May 18, 2026.
Projects proposed, in progress, or completed as part of the annual Iran Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The data is provided by OCHA Humanitarian Programme Cycle Tools (HPC Tools) and was last updated on March 16, 2026. The original data is available on the HPC Tools platform.
Level curves with a 1-meter equidistance derived from a LiDAR survey conducted in 2024. The dataset includes attributes for a unique ID, curve subtype, and elevation value in meters. It is provided by the Government and Municipalities of Québec and was last updated in March 2026.