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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
2,023 datasets
Drone_dataset is a collection of data published on Kaggle. The title suggests it contains information related to unmanned aerial vehicles. Its content and structure require verification after download.
A dataset from the 100-Car Naturalistic Driving Study funded by the AAA Foundation for Traffic Safety. The data were collected by the Virginia Tech Transportation Institute under sponsorship from NHTSA, VDOT, and Virginia Tech. The primary aim was to understand the relationship between potentially unsafe driving behaviors and crashes, near-crashes, and incidents.
A collection of publicly available large-scale LiDAR datasets archived uniformly for easy access. Initial efforts focus on Europe, with plans to expand to the USA and other regions for global coverage. Every dataset includes files in the original data format and translated to the COPC format, with an overview file for faster browsing.
A 1997 USAF study compared the speed and accuracy with which seven groups of military and civilian pilots learned to fly the RQ-1A Predator UAV. Participants completed multimedia tutorials and then flew a high-fidelity simulator, performing basic maneuvers, landings, and 30 reconnaissance scenarios while detailed performance measures were automatically recorded. The dataset was authored by Brian T. Schreiber and originates from the Air Force Research Laboratory.
A dataset titled 'drone_blackwater yollo model' published on Kaggle. The title suggests it may contain imagery or data related to drone operations, possibly for training a computer vision model. The dataset's author, organization, size, and specific contents are unknown.
Data recorded in and around Karlsruhe, Germany, using a vehicle equipped with multiple cameras, a Velodyne HDL 64 laser scanner, and a GPS/IMU unit. It provides benchmarks for computer vision and machine learning research, including stereo, optical flow, and object detection. The dataset was created by the Max Planck Campus Tübingen.
100 sites in Puget Sound were sampled over a one-month period in 1998 for a multi-year toxin study. The dataset contains biological, chemical, and geological measurements, including infauna surveys, amphipod bioassays, and sediment grain fractions. Data were collected by the R/V Kittiwake and submitted by the Washington State Department of Ecology.
Topobathy lidar data covering approximately 225 square miles along Tampa Bay shores. The data were collected by Dewberry using a CZMIL Nova system between January 26 and February 27, 2021. It includes 52 tiles of 5000 m x 5000 m DEMs with points classified as ground, water surface, bathymetric bottom, and submerged objects.
Lidar point cloud data collected by NOAA's National Geodetic Survey using a Riegl VQ880G system. The data includes classifications for ground, water surface, submerged objects, and aquatic vegetation according to ASPRS standards. It may also contain lidar intensity values and encoded RGB image values.
Florida Keys Outer Reef Block 01 topobathy lidar data collected by the NOAA National Geodetic Survey between July and November 2016. The data are in LAS 1.2 format with points classified as unclassified, noise, bathymetric, and submerged object. The dataset likely includes lidar intensity values and encoded RGB image values.
2018 lidar data collected by NOAA's National Geodetic Survey using a Riegl VQ880G system. The data likely contains point clouds classified according to ASPRS standards, including ground, water surface, and submerged objects. Data may also include lidar intensity values and encoded RGB image values.
2008 NOAA/NGS Integrated Ocean and Coastal Mapping LIDAR data covers portions of the Outer and Inner Kachemak Bay coastline from Point Anchor to Homer. The data was collected by the National Oceanic and Atmospheric Administration's National Geodetic Survey using an OPTECH ALTM system on July 31 and August 1, 2008. It includes the Kachemak Bay National Estuarine Research Reserve and the Fox River Flats Critical Habitat Areas.
2016 NOAA NGS Topobathy Lidar data for Florida Keys Outer Reef Block 03, collected by the National Oceanic and Atmospheric Administration National Geodetic Survey Remote Sensing Division using a Riegl VQ820G system. The data were acquired from 20160721 to 20161121 and include point cloud data in LAS 1.2 format classified as unclassified, noise, and bathymetric point, potentially with intensity and RGB values.
2016 NOAA NGS Topobathy Lidar: St. Joe (FL) is a lidar point cloud dataset collected by the NOAA National Geodetic Survey Remote Sensing Division using a Riegl VQ820G system. The data were acquired between July 21 and November 21, 2016, and include classified topobathy points in LAS 1.2 format. The dataset may also contain lidar intensity values and encoded RGB image values.
Puerto Rico coastal data covering 309.3 square miles, collected by the NOAA National Geodetic Survey from February to March 2016. The dataset consists of 3,463 tiles, each 500 meters by 500 meters, containing classified lidar points for topography and bathymetry. Data is provided in LAS 1.2 format with classifications including ground, water surface, and bathymetric bottom.
North Carolina's Dare and Carteret counties were surveyed by NOAA's National Geodetic Survey on August 28-29, 2011, following Hurricane Irene's landfall. The data consists of classified LIDAR point clouds in LAS 1.2 format, including topographic data, intensity values, and encoded RGB image values. It was collected using a Riegl Q680i-D system and classified according to ASPRS standards.
2018 NOAA NGS Topobathy Lidar data collected for West Biscayne Bay, Florida. The data were collected by the National Oceanic and Atmospheric Administration National Geodetic Survey Remote Sensing Division using a Riegl VQ880G system. The data are in LAS 1.2 format and include classifications such as ground, bathymetric point, and submerged object.
615 square miles of topobathy lidar data covering the shores of Indian River Lagoon, Florida, collected by Dewberry for NOAA between February and June 2022. The dataset includes 136 tiles of 5km x 5km Digital Elevation Models with points classified as ground, water surface, submerged vegetation, and bathymetric bottom. Data are provided in LAS 1.4 format with classifications for terrain, water, and submerged features.
A 1-meter resolution Digital Elevation Model (DEM) derived from topobathy lidar data collected along the Chesapeake Bay coastline from Bethany Beach to Chincoteague, Maryland. Woolpert collected the data using a Leica Hawkeye4X system between November 3, 2022 and February 5, 2023. The dataset covers approximately 3251 square kilometers and is provided as 5000m x 5000m tiles.
From February 24 to June 1, 2022, Dewberry collected topobathy lidar data for approximately 615 square miles along the shores of the Indian River Lagoon in Florida. The dataset, provided by the National Oceanic and Atmospheric Administration, consists of 8,786 tiles in LAS 1.4 format with points classified as ground, water surface, bathymetric bottom, submerged vegetation, and other features.