Loading...
Loading...
Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
1,697 datasets
John Andrews from the Texas Data Repository Harvested Dataverse collected topographic and bathymetric lidar, orthophotos, sonar, and ground-penetrating radar data for the Devils River in Texas. The data covers the river from Juno to Lake Amistad, with a detailed study area from Finnegan Springs to Dolan Falls. The dataset was last updated on March 18, 2024.
Data collected in and along the Devils River from Juno to Lake Amistad, Texas includes topographic and bathymetric lidar in 1m raster and point formats, orthophotos, and an index map. For a detailed two-kilometer study area from Finnegan Springs to Dolan Falls, sonar and ground-penetrating radar point data and a composite raster are also provided. The dataset was authored by John Andrews and last updated on March 18, 2024.
Multiple remote sensing data types collected in and along the Devils River in Texas include topographic and bathymetric lidar, orthophotos, sonar, and ground-penetrating radar. The dataset, harvested by the Texas Data Repository, was last updated on March 18, 2024. It provides a detailed composite raster for a two-kilometer study pool from Finnegan Springs to Dolan Falls.
Data collected in and along the Devils River from Juno to Lake Amistad, Texas includes topographic and bathymetric lidar, orthophotos, sonar, and ground-penetrating radar (GPR) data. The collection, authored by John Andrews and harvested by the Texas Data Repository, was last updated on March 18, 2024. For a detailed study area from Finnegan Springs to Dolan Falls, it provides composite raster datasets combining lidar and GPR data.
Data collected in and along the Devils River from Juno to Lake Amistad, Texas includes topographic and bathymetric lidar, orthophotos, sonar, and ground-penetrating radar (GPR) data. The dataset, authored by John Andrews and hosted by the Texas Data Repository, was last updated on March 18, 2024. It includes a detailed study area of a two-kilometer pool from Finnegan Springs to Dolan Falls.
Geospatial data collected in and along the Devils River from Juno to Lake Amistad, Texas includes topographic and bathymetric lidar, orthophotos, sonar, and ground-penetrating radar (GPR) data. The dataset was authored by John Andrews and harvested by the Texas Data Repository. The record was last updated on March 18, 2024.
Devils River in Texas, from Juno to Lake Amistad, is covered by this dataset. It includes topographic and bathymetric lidar data in raster and point formats, orthophotos, and an index map, with additional sonar and GPR data for a detailed two-kilometer study area. The data was authored by John Andrews and last updated on March 18,我们发现了一个错误。
ETOPO 2022 is a global relief model integrating topographic and bathymetric data at a 15 arc-second resolution. It is produced by the National Oceanic and Atmospheric Administration using validated data sources like NASA's ICESat-2 and is available in 'Ice Surface' and 'Bedrock' versions.
A question-answering dataset designed for training multimodal large language models (MLLMs) for grounding tasks in autonomous driving scenarios. It is built upon the NuScenes dataset, a known collection for self-driving research. The dataset was authored by Senqiao and last updated on the Hugging Face platform in November 2024.
Ma Lio provides sensor data for asynchronous multiple LiDAR-inertial odometry, developed by minwoo0611 and updated in December 2025. The repository facilitates SLAM research through point-wise inter-LiDAR uncertainty propagation across multiple sensor streams.
An image classification dataset containing three classes of airplanes: drone, UAV, and fighter. The dataset was created by johnnydevriese and was last updated on September 16, 2022. The specific number of images, file formats, and other metadata are not provided in the input.
GEER conducted a post-Hurricane Florence reconnaissance of geotechnical infrastructure like slopes, levees, dams, roadways, and bridges. The GEER team collected UAV data on a slope failure in Elizabethtown and earth dam overtopping at Boiling Springs. This data, authored by Navid Jafari and last updated in February 2025, consists of UAV imagery and terrestrial LiDAR for forensic analyses.
A multi-spectral satellite image of Hurricane Hugo making landfall on the South Carolina coast. The data was captured by the NOAA-11 satellite on September 21, 1989, and produced into a 36-inch by 36-inch poster by NOAA NCEI.
A 1-meter resolution Digital Surface Model (DSM) for the District of Columbia, created from 2022 LiDAR data. The dataset has undergone redaction by the United States Secret Service, removing all data returns within a specified boundary except for ground and water points. Some areas have limited data coverage.
Drone flights captured RGB imagery over the Grüenbödeli site near Davos, Switzerland, across three consecutive years. ENVIDAT processed this data to generate 3cm orthomosaics, 10cm digital surface models, and snow cover rasters. The collection represents a multi-year photogrammetric survey of an alpine environment.
42 UAV flights were conducted over Livingston and Deception Islands in Antarctica, capturing aerial imagery for orthomosaic generation. The dataset contains orthomosaics created from images obtained by various sensors onboard unmanned aerial vehicles. It was reported by the organization SCIOPS and last updated in March 2022.
Two co-aligned pushbroom hyperspectral datasets were captured by a drone over Council, Alaska. The collection includes raw and post-processed hyperspectral data, GNSS/IMU data, and digital surface models, all radiometrically and geometrically evaluated. AMD_KOPRI released this data in 2019 to support the improvement of UAV-based hyperspectral processing algorithms.
Nine drone flights during the 2020/21 winter season at Latschüelfurgga, Davos, captured data to map and assess snow depth. The dataset includes high-resolution digital surface models (DSMs), orthomosaics, snow height rasters, and original RGB images from each flight. Data was processed by ENVIDAT using Agisoft Metashape software and published via NASA EarthData.
NASA's Micro-Pulse Lidar at Syowa Station collected atmospheric backscatter profiles on a 24-hour operational basis. The instrument operated at a 523.5 nm wavelength, reaching a maximum height of 60 km with 30-meter range and 1-minute time resolution. Data collection began with a 45-degree slant pointing direction until January 2007, switching to vertical pointing from February 2007 onward.
From August 1991 to March 1994, the Raman Lidar Database contains data from approximately 150 measurement nights, with about 5 nights per month, recorded in Geesthacht. For each event, it provides aerosol absorption and extinction coefficients between 3 km and 30 km altitude, with a maximum height resolution of about 60 meters. The dataset is hosted on NASA EarthData and was last updated in March 1994.