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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
2,016 datasets
A collection of results from ablation experiments on the UAVid dataset for a semantic segmentation network called CRDFNet. The experiments validated the network's performance on remote sensing imagery, which is characterized by complex boundary shapes and dense small targets. The data is stored in an XLS file with a size of 5.5 KB.
Performance comparison between CORE-Net and baseline methods on the DroneVehicle dataset under edge deployment constraints. The 5.5 KB Excel file was authored by Daoze Tang and last updated on April 21, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
A component ablation study for the CORE-Net model, conducted on the DroneVehicle dataset. The study was authored by Daoze Tang and published on figshare under a CC-BY-4.0 license. It was last updated on April 21, 2026.
A performance comparison between the CORE-Net method and baseline models on the DroneVehicle dataset. The dataset is a 5.5 KB Excel file authored by Daoze Tang and last updated on April 21, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
A paper compares sampling-based algorithms for mobile robot navigation, including A*, Bidirectional RRT, Artificial Potential Field, PRM, and RRT. Performance metrics like shortest path and processing time were determined in a MATLAB environment. The author is Sivaranjani Arthanari.
A human-in-the-loop, multi-view bimanual robot manipulation dataset for tabletop spill cleanup tasks. The dataset includes synchronized video, state and action trajectories, phase annotations, and success or failure labels, structured for compatibility with the LeRobot framework. It was created by ExylosAi and last updated on May 5, 2026.
Puerto Rico's landslide source areas were identified using the Multiscale Model-to-Model Cloud Comparison (M3C2) method on pre- and post-Hurricane María LiDAR data. The dataset contains over 96,100 filtered landslide events across four watersheds, resulting from a master's thesis at the University of Puerto Rico at Mayagüez. Initial detection identified over 180,000 areas, which were filtered to remove those with an average depth less than 0.5 m or area smaller than 25 m².
Drone survey data collected from November 2017 to October 2018 around Oahu, Hawaii for validating aerial estimates of akule school size. The dataset includes timestamps, school size estimates, fish life stage, environmental data, and catch information from fished schools. It was published by the National Oceanic and Atmospheric Administration.
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 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.
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'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.
Full HD frames from the CARLA autonomous driving simulator with manually annotated driving directions. The dataset appears to be sourced from the CARLA simulation platform and aggregated on Kaggle. Temporal coverage, specific row count, and original author details are not provided in the input.
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.
Three source-bounded UAV evidence briefs with explicit evidence boundaries. The briefs likely contain structured text summaries on drone industry topics. The dataset's author, organization, and update history are unknown.
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.
A balanced and storage-optimized derivative of the Noisy Drone RF Signal Classification dataset. The dataset likely contains processed radio frequency signals for drone detection tasks. It was sourced from Kaggle, but details on its creation date, author, and exact size are unknown.
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.