Datasets

subject: drone type: dataset

Total is 7 Results
Aerial Fluvial Image Dataset (AFID) for Semantic Segmentation

10.4231/B129-XD47

Li-Fan Wu , Nina Mahmoudian ORCID logo , Zihan Wang

07/20/2022

816 2K/2.7K per-pixel annotated images with 8 classes: River, Boat, Bridge, Sky, Forest vegetation, Dry sediment, Drone self and Obstacle in river. Fluvial scenes are from Wabash River and Wildcat Creek in Indiana, USA.

Artificial Neural Network (ANN) autonomos vehicles Collision Avoidance deep learning drone Image Dataset Mechanical Engineering navigation RGB image dataset River Robotics semantic segmentation Unmanned Aerial Vehicle Wabash River

Unmanned Aircraft Systems (UAS) Sighting Data 2016 to 2019

10.4231/H31Y-7197

Cheng Wang , Sarah M Hubbard ORCID logo

10/25/2022

This dataset is based on the UAS Sightings Report published by FAA. The dataset contains 6,551 reports from Sep. 2016 to Aug. 2019. The dataset also includes information about airports from the National Plan for Integrated Airport Systems (NPIAS)...

airport Aviation Technology drone NPIAS sUAS UAS UAS sighting Unmanned Aerial Systems

Three-Phase Operations at a Diverging Diamond Interchange Using an Unmanned Aerial Vehicle (UAV) Camera

10.4231/R7C24TC4

Alexander M. Hainen , Amanda Stevens , Darcy M. Bullock ORCID logo , Howell Li

07/24/2014

This video shows three-phase operations featuring a hold-back phase with data characterizing the southbound internal through movement (OL-C) on May 15, 2014, at the SR-201 / Bangerter DDI in Salt Lake City, Utah.

Civil Engineering diverging diamond interchange drone operation signal traffic UAV Unmanned Aerial Vehicle

Ortho-Rectified UAS Air Photo of Staged Crash Scene at INDOT District Office

10.4231/R77942VG

Ayman Habib , Darcy M. Bullock ORCID logo , Donald E. Hartman , Fangning He , John L. Bullock , Michelle M. Mekker , Ryan J. Edwards

07/26/2017

UAS images collected on July 14, 2017, at the Indiana Department of Transportation Crawfordsville District Office. Additional details are provided in the description below.

Civil Engineering drone evidence photogrammetry UAS vehicle crash

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