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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
1,990 datasets
2004 airborne LIDAR surveys provide Digital Terrain and Surface Models (DTMs and DSMs) for river basins. The data, provided by OpenDataNI, consists of 1km x 1km tiles with elevations on a 1m x 1m grid. Some data from 2009 and 2010 also includes the original Point Cloud files with a 0.2m irregular grid.
Terrain and surface elevation models for river basins derived from airborne LIDAR survey systems. The data consists of 1km x 1km tiles with elevations in a 1m x 1m grid, provided by OpenDataNI. Data acquired in 2009 and 2010 also includes Point Cloud files with a 0.2m irregular grid of elevations.
LiDAR point cloud data collected at the Calperum Mallee SuperSite in 2022 using a DJI Matrice 300 RTK drone equipped with a Zenmuse L1 sensor. The Terrestrial Ecosystem Research Network (TERN) conducted the survey as part of a field trial to evaluate drone-based LiDAR for ecosystem monitoring. Standardized TERN protocols were used for data collection and processing in DJI Terra software.
Spring 2024 data from three Mistbelt forests in the Amathole region, South Africa. The dataset comprises high-resolution RGB orthomosaics, 3D point clouds, derived vegetation indices, and ground-based leaf spectral data from 270 Podocarpus latifolius samples, collected to evaluate active forest restoration. It was created by researchers from the University of Fort Hare and submitted to GIScience & Remote Sensing.
DJI Matrice 300 RTK drone imagery collected during a 2026 field trial for the TERN Drone project. An RGB orthomosaic was generated from 80m altitude flights using a Zenmuse P1 camera, achieving 1 cm resolution and georeferenced with onboard GNSS and post-processed AUSPOS positions. The final cloud-optimized GeoTIFF is provided in the GDA2020 MGA Zone 55 coordinate system.
New Jersey, USA, coastline data includes lidar-derived topographic change measurements following Hurricane Sandy (2012) and a compilation of 35 washover measurements from six published studies. The dataset provides quantitative metrics like deposit width, intrusion length, area, and volume for coastal overwash deposits. It is intended for analyzing the geomorphic impact of storms and validating models of coastal sediment transport.
Four scanning Doppler wind lidars collected measurements during the PIANO field campaign in the Inn Valley at Innsbruck, Austria. The data set covers seven Intensive Observation Periods of foehn events during fall and early winter 2017. Alexander Gohm from the Universität Innsbruck authored this data set, which is hosted on paperswithcode.
Two Doppler wind lidars collected data from 14 June to 10 October 2019 during the CROSSINN field campaign in the Inn Valley, Austria. The data includes 1 Hz radial velocity and backscatter profiles from PPI scans and vertical stares, as well as derived vertical wind profiles. Alexander Gohm from Universität Innsbruck authored this dataset, which was published under an Open Access (green) license.
A C++ library for multi-physics simulation developed as part of the SAFER-SIM project. The Chrono::Sensor module augments the Project Chrono engine to generate synthetic sensor data for cameras, lidar, GPS, and IMU using ray-tracing algorithms. The project report includes results from sensor implementations and demonstrations of autonomous vehicle simulation.
Brisbane City Council offers over 2,000 parks across the city. This dataset likely contains designated sites for launching and landing recreational drones and other remotely piloted aircraft within these parks. The data is provided by Brisbane City Council and was last updated on 2026-06-28.
Jan Škaloud from École Polytechnique Fédérale de Lausanne released sensor measurements from a series of flights with a fixed-wing micro UAV. The data includes raw readings from GPS, IMU, and a high-quality small camera, and has been used in several peer-reviewed publications. It is part of a larger series intended for gradual release and was used for an ISPRS workshop on dynamic networks during the 2021 ISPRS Congress.
Landgate's LiDAR Index Landgate (LGATE-351) is a geospatial index detailing the availability and extent of LiDAR data held by the Western Australian Land Information Authority. The repository includes acquisitions funded through the Capture WA program since 2017, covering specific areas of Western Australia at various point densities. This dataset is an index only; the actual LiDAR data requires a separate application process via a Location Information Transactional Form.
OpenITI is a multi-institutional effort to construct the first machine-actionable scholarly corpus of premodern Islamicate texts. It currently contains almost exclusively Arabic texts, with a more limited number of Persian texts, and is supported by the European Research Council and Qatar National Library. The corpus is built from texts first assembled within the OpenArabic project and the Persian Digital Library pilot.
A lidar-based method retrieves planetary boundary layer height (PBLH) to track diurnal variations, with an adapted algorithm for cloudy conditions. The dataset includes a quality-control flag and eliminates rainy cases. It was developed by Tianning Su at the University of Maryland, College Park, based on research published in 2020 and 2022.
Composite surfaces from multibeam, laser, and LIDAR surveys managed by the Coastal Information Branch of Western Australia's Department of Transport. This polygon feature class provides extents and direct URLs for downloading 32-bit TIFF files stored on Amazon S3, covering 29 coastal locations including Albany, Broome, and Perth. The dataset, last updated in June 2026, was formerly known as the Composite Surfaces Index.
The Cloud Physics Lidar (CPL) dataset provides airborne remote sensing measurements from the NASA ER-2 High Altitude Aircraft. It offers cloud and aerosol profiling with 30-meter vertical and 200-meter horizontal resolution at 1064 nm, 532 nm, and 355 nm wavelengths. Data products include aerosol and smoke plume profiling, optical depth estimates, and extinction profiles for analyzing radiative and optical properties of thin clouds.
July–December 2018 remotely sensed topographic and bathymetric data acquired for the New South Wales and southern Queensland coast using Airborne LiDAR Bathymetry. The dataset covers an area of 6862 km², providing combined terrestrial elevation and marine depth data at a 5 x 5 m horizontal resolution, processed to Australian Height Datum. Data were acquired by Fugro Pty Ltd on behalf of the NSW Office of Environment and Heritage and are provided via the Geosciences Australia ELVIS website.
Kevin Wolz from the Karlsruhe Institute of Technology collected Doppler Lidar data between June 1 and September 14, 2020 in Falkenberg (Tauche), Germany. The data was part of the FESST@MOL campaign and includes horizontal wind speed, wind direction, TKE, and gust data derived from three Lidars configured as a virtual tower. The dataset is documented with R code for processing the raw Lidar measurements.
GLIDE numbers are GLobal unique IDEntifiers for Disasters, enabling interoperability across multiple disaster information sources. The Asian Disaster Reduction Center (ADRC) proposed this common ID system to address challenges in accessing scattered and confusing disaster data. The dataset covers Iran and is actively used by institutions including UN-OCHA, UNDRR, and IFRC.
Fifteen geotiff files contain processed multibeam sonar bathymetry data from a 47-day marine survey aboard the RV Falkor. The survey, conducted from September 30 to November 17, 2020, mapped the seafloor of the northern Great Barrier Reef, Cape York Peninsula, and the eastern Coral Sea Marine Park. This dataset is published with permission from Geoscience Australia.