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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
1,670 datasets
5,065 LAS tiles of combined topographic and bathymetric lidar data covering 285,529 acres of the Florida Keys. The data were collected by Quantum Spatial, Inc. for NOAA across 23 missions between November 2018 and March 2019, following Hurricane Irma. It includes detailed classifications for ground, water surface, bathymetric bottom, water column, and submerged features.
964.624 square kilometers of coastal and submerged topography for the Chesapeake Bay area, collected by NV5 Geospatial, Inc. for NOAA in 15 missions between February and April 2019. The final product includes 53 digital elevation models (DEMs) with 1-meter pixel resolution, derived from classified lidar point clouds. Data points are classified according to ASPRS standards, including ground, water column, and bathymetric bottom categories.
Florida Keys coastal and seafloor elevation data collected by Quantum Spatial, Inc. for NOAA after Hurricane Irma. The dataset includes 70 digital elevation model tiles at 1-meter resolution, covering 285,529 acres from Miami south to the Marquesas Keys, with acquisition dates from November 2018 to March 2019. Data points are classified into categories including ground, bathymetric bottom, water surface, and submerged objects.
NOAA Chesapeake Bay MD1804 Option 1 West 4 topobathymetric lidar data were collected by NV5 Geospatial, Inc. using a Riegl VQ-880-GH system. The dataset covers approximately 492.7 square kilometers of the Chesapeake Bay area near Solomons, California, and other Maryland census designated places. It comprises 2,593 LAS tiles, each 500 m x 500 m, collected over nine missions from March to April 2019.
NOAA NGS topobathy lidar data covering approximately 942 square miles of the Texas Gulf coast from Galveston to Corpus Christi. The data were collected by Leading Edge Geomatics using a Leica Chiroptera II sensor between October 22, 2018 and May 31, 2019. The delivery consists of 3,813 classified LAS tiles in five blocks.
Topobathymetric lidar data covering approximately 311 square miles of the Tampa Bay inlet, including Old Tampa Bay and Hillsborough Bay. The data were collected by Leading Edge Geomatics using a RIEGL VQ880-G system between November 22 and December 20, 2019. The National Oceanic and Atmospheric Administration (NOAA) National Geodetic Survey (NGS) is the authoritative source.
A multimodal autonomous driving dataset includes data from a 128-beam Velodyne Alpha-Prime lidar, a 5MP Blackfly camera, a 360-degree Navtech radar, and post-processed Applanix POS LV GNSS data. It was collected by ASRL over the course of a year in various weather conditions including sun, rain, and snow. The intended purpose is to enable benchmarking of long-term all-weather odometry and metric localization.
Kitware provides a large-scale multi-sensor dataset for autonomous, off-road navigation. It features simultaneously collected imagery from multispectral, hyperspectral, polarimetric, and broadband sensors, spanning wavelengths from visible to long-wave infrared, with aligned LIDAR data for ground-truth shape. Camera calibrations, LiDAR registrations, and traversability annotations are available for a subset.
New Jersey elevation data consists of 18 discrete LiDAR collection projects covering overlapping subsections of the state. Projects were conducted over several years with differing technical specifications and include deliverables such as classified point clouds, digital elevation models, and contour lines. The data adheres to Federal Geographic Data Committee metadata standards.
5.5 KB XLS file compares object detection model performance on the HIT-UAV test set. The data, authored by Linfeng Jia, was last updated in March 2026 and is licensed for open use under CC BY 4.0.
VisDrone2019 test set results compare detection models for drone-captured imagery. The dataset contains performance metrics in a 5.5 KB XLS file, authored by Linfeng Jia and updated in March 2026.
Targeted ablation results of cross-branch interaction in the DPD head on the HIT-UAV dataset. The 5.5 KB XLS file contains experimental metrics from model ablation studies. It was authored by Linfeng Jia and last updated in March 2026.
A multimodal dataset fusing hyperspectral and LiDAR data for urban land cover classification. The dataset was collected over Houston, Texas, in 2013. The specific author, organization, and data volume are not provided in the available metadata.
Multi-modal sensor data was collected from fully autonomous Indy race cars operating at speeds up to 170 mph (273 kph). Six teams contributed data from the 2021-22 Indy Autonomous Challenge, covering 11 racing scenarios across two tracks. The data is organized and released in both ROS2 and nuScenes formats.
Northern Ireland's entire coastline, including intertidal areas and approximately 200 meters landward of the high water mark, is covered by this orthophotography. The geometrically corrected aerial imagery was captured as part of the 2021 NI 3D Coastal Survey with a 10cm resolution. The dataset is provided by OpenDataNI under the OGL-UK-3.0 license.
OpenDataNI provides orthophotography and topographic LiDAR data from the 2021 NI 3D Coastal Survey. The dataset covers the entire Northern Ireland coastline, including intertidal areas and approximately 200 meters landward of the high water mark. Colour infrared orthophotography imagery was captured with a 10cm resolution.
Orthophotography with 10cm resolution covers the entire Northern Ireland coastline, extending approximately 200 meters landward from the high water mark. This geometrically corrected aerial imagery was captured as part of the 2021 NI 3D Coastal Survey by OpenDataNI. The dataset includes topographic LiDAR and natural colour orthophotos, last updated in March 2026.
Tennis Grand Slam Pinnacle PREMIUM is a dataset of tennis match data spanning from 2016 to 2026. It likely contains detailed performance metrics across 113 columns. The dataset's author and licensing information are unknown.
745 square statute miles of topobathymetric lidar data covering river sections in Missouri, Arkansas, and Oklahoma, collected from August 2023 to July 2024 by NV5 under contract for NOAA. The dataset includes point cloud data in LAS format with classifications for ground, water surface, bathymetric bottom, submerged aquatic vegetation, and other features according to ASPRS standards. Horizontal datum is NAD83 (2011) UTM 15, and vertical datum is GRS80 ellipsoid heights.
March 2026 publication from the Communications Security Establishment Canada details cyber threats to drone operations. The guide explores risks like data breaches, unauthorized access, and operational disruptions. It is provided as an HTML document under an open government license.