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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
1,688 datasets
NOAA_NCEI collected near-surface oceanographic and atmospheric data using three Saildrone autonomous surface vehicles in the eastern Bering Sea and northern Pacific Ocean from June to August 2020. The dataset includes measurements of water temperature, salinity, chlorophyll-a, dissolved oxygen, wind, air temperature, humidity, and air pressure. This experimental survey was conducted as an alternative to a canceled ship-based walleye pollock acoustic survey.
3-meter resolution Lidar Digital Elevation Models are the primary elevation data product distributed by the National Park Service. The dataset covers specific locations within the Great Smoky Mountains National Park, including Clingmans Dome, Cades Cove, and Bryson City.
Synchronized multimodal driving data was collected in the CARLA simulator using the autopilot feature. The dataset includes RGB images, semantic segmentation, LiDAR point clouds, 2D bounding boxes, and ego-vehicle state data across varied weather and traffic conditions. It was created by immanuelpeter and last updated on 2025-11-29.
Davos, Switzerland hosts hourly 3D lidar scans of snow surfaces from two stations (Braema1 and Braema2) covering approximately 15000 m². The data spans the winter season from November 23, 2023 to April 14, 2024. The dataset is associated with a research publication from 2024.
ARCSIX P-3B Aircraft Multi-function Airborne Raman Lidar (MARLi) Data contains lidar measurements collected onboard a NASA P-3B aircraft during the Arctic Radiation-Cloud-Aerosol-Surface Interaction EXperiment. The LARC_CLOUD organization produced this dataset from two campaign deployments in May-June and July-August 2024. Data collection for this product is complete.
Lidar measurements of cloud backscatter from the First ISCCP Regional Experiment (FIRE) Cirrus Phase I field campaign. The dataset was collected by the Langley Research Center (LARC) using a dual-channel polarization sensitive lidar system. Observations were made during an intensive field period from October 13 to November 2, 1986.
May to June 2012 data collected by the Differential Absorption Lidar (DIAL) onboard a NASA DC-8 aircraft during the Deep Convective Clouds and Chemistry field campaign. The dataset provides remotely sensed atmospheric measurements to study storm dynamics, lightning, and upper tropospheric chemistry. It was produced by the LARC_ASDC organization.
Lidar data from the First ISCCP Regional Experiments (FIRE) Cirrus Phase II campaign, collected by the Langley Research Center's eight-inch, dual-channel polarization-sensitive lidar. The dataset was created to improve cloud and radiation parameterizations for general circulation models. Observations were made during an intensive field period in southeastern Kansas from November 13 to December 7, 1991.
AFWEX campaign data contains vertical profiles of water vapor and aerosols measured by an airborne differential absorption lidar system. The LASE instrument, developed by NASA, collected these measurements over the Southern Great Plains site in Oklahoma from late November to mid-December 2000. The experiment successfully characterized water vapor measurement accuracy to within 5% using a core set of instruments.
AI4MARS provides ~326,000 semantic segmentation labels for 35,000 images from NASA's Curiosity, Opportunity, and Spirit rovers. The dataset was created for training terrain classification models to support autonomous driving on Mars, with labels collected via crowdsourcing and validated by NASA mission scientists. Each crowdsourced image label was produced by 10 annotators to ensure quality.
CALIPSO Lidar Level 2 Blowing Snow - Antarctica, V2-00 is a satellite data product reporting the distribution of blowing snow properties over Antarctica. The product was generated using the CALIOP instrument aboard the joint NASA-CNES CALIPSO satellite, launched in 2006. Data collection for this specific product occurred from June 2006 to at least September 2018, during the satellite's A-Train and C-Train constellation phases.
CALIPSO Lidar Level 2 Blowing Snow - Greenland data product reports the distribution of blowing snow properties over Greenland based on back-scatter retrievals from the CALIOP instrument. The dataset is produced by the NASA and CNES joint CALIPSO mission, with data collection starting from the satellite's launch in April 2006. Specific operational periods include its time in the A-Train constellation from June 2006 to September 2018.
Encompassing images for training object detection models to identify drones, primarily rotary-wing UAVs, in various environments. It was curated from 23 open-source datasets and processed through a custom cleaning pipeline. The author is lgrzybowski, and it was last updated in December 2025.
Geoelectric resistivity transects and drone imagery monitor a Scots Pine forest's response to irrigation treatments in 2022. Data includes two resistivity transects measured in May and July, repeated over 3-7 days, alongside raw and processed drone images. The dataset is provided by ENVIDAT to support a 2024 publication in New Phytologist.
October 2005 satellite imagery documents the aftermath of the magnitude 7.6 earthquake in Kashmir and Pakistan. The dataset, provided by NOAA NCEI, captures the extensive damage, including building collapses, landslides, and liquefaction across the affected region.
Over 5000 random UAV (Unmanned Aerial Vehicle) trajectories collected over 20 hours of flight time. The dataset was created by riotu-lab and last updated on December 26, 2024. It is generated through an automated pipeline for creating and preprocessing synthetic trajectories.
Airborne scanning LiDAR data was collected during the Sea Ice Physics and Ecosystems eXperiment (SIPEX) in early Spring 2007. Surveys were flown over sea ice between 110-130 degrees E longitude as part of Australian Antarctic science project 2901. The data was contributed by the AU_AADC organization.
Reconnaissance data of damage from the Marshall Fire in Boulder County, Colorado. The data includes LiDAR and UAS imagery collected in three periods in late January, mid-February, and late April of 2022. The data was collected by Brad Wham and is hosted by the DesignSafe Data Depot Repository Harvested Subcollection.
Between 2015 and 2016, Unmanned Aerial Vehicle (UAV) surveys were conducted on the Sankt Annafirn, Findelen-, and Griesgletscher in the Swiss Alps. The dataset contains high-resolution orthoimages and Digital Surface Models (DSMs) at 0.1-meter resolution, produced by the ENVIDAT organization and documented in a 2017 publication.
Lidar Atmospheric Sensing Experiment (LASE) validation data compares water vapor profile measurements from an airborne lidar system with in-situ and remote sensors. The dataset covers ten high-altitude aircraft missions totaling 60 flight hours during September 1995. It was produced by the NASA Langley Research Center Atmospheric Science Data Center.