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Drones, Volume 5, Issue 4

December 2021 - 50 articles

Cover Story: NC State University researchers launched a drone from an observation platform on Roan Mountain in North Carolina (1800 meters elevation) to collect imagery of the cliff face. Approximately 1000 meters of elevation change was visible in the photograph, which highlighted the difficulty of monitoring the rare plant, Geum radiatum, at this location. The researchers used a machine learning predictive model to plan a targeted flight area, allowing for efficient data collection without impacting the rare plant or endangering personnel. Visual analysis of UAS imagery verified the locations of thirty-three known plants and discovered four previously undocumented occurrences. View this paper.
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Articles (50)

  • Feature Paper
  • Article
  • Open Access
22 Citations
6,665 Views
12 Pages

Drone Magnetometry in Mining Research. An Application in the Study of Triassic Cu–Co–Ni Mineralizations in the Estancias Mountain Range, Almería (Spain)

  • Daniel Porras,
  • Javier Carrasco,
  • Pedro Carrasco,
  • Santiago Alfageme,
  • Diego Gonzalez-Aguilera and
  • Rafael Lopez Guijarro

18 December 2021

The use of drones in mining and geological exploration is under rapid development, especially in the field of magnetic field prospection. In part, this is related to the advantages presented for over ground surveys, allowing for high-density data acq...

  • Article
  • Open Access
29 Citations
6,852 Views
17 Pages

Convolutional Neural Networks for Classification of Drones Using Radars

  • Divy Raval,
  • Emily Hunter,
  • Sinclair Hudson,
  • Anthony Damini and
  • Bhashyam Balaji

15 December 2021

The ability to classify drones using radar signals is a problem of great interest. In this paper, we apply convolutional neural networks (CNNs) to the Short-Time Fourier Transform (STFT) spectrograms of the simulated radar signals reflected from the...

  • Article
  • Open Access
11 Citations
4,300 Views
16 Pages

Pathways to Unsegregated Sharing of Airspace: Views of the Uncrewed Aerial Vehicle (UAV) Industry

  • Matt Grote,
  • Aliaksei Pilko,
  • James Scanlan,
  • Tom Cherrett,
  • Janet Dickinson,
  • Angela Smith,
  • Andy Oakey and
  • Greg Marsden

15 December 2021

The uncrewed aerial vehicle (UAV or drone) industry is expanding, offering services such as video/photography, inspection, monitoring, surveying, and logistics. This is leading to competing demands for airspace with existing crewed aircraft activitie...

  • Review
  • Open Access
119 Citations
21,110 Views
30 Pages

UAV-Enabled Mobile Edge-Computing for IoT Based on AI: A Comprehensive Review

  • Yassine Yazid,
  • Imad Ez-Zazi,
  • Antonio Guerrero-González,
  • Ahmed El Oualkadi and
  • Mounir Arioua

13 December 2021

Unmanned aerial vehicles (UAVs) are becoming integrated into a wide range of modern IoT applications. The growing number of networked IoT devices generates a large amount of data. However, processing and memorizing this massive volume of data at loca...

  • Article
  • Open Access
19 Citations
5,541 Views
16 Pages

12 December 2021

Since the Fourth Industrial Revolution, existing manpower-centric manufacture has been shifting towards technology and data-centric production in all areas of society. The construction sector is also facing a new paradigm called smart construction wi...

  • Article
  • Open Access
23 Citations
4,707 Views
20 Pages

11 December 2021

A proper classification of 3D point clouds allows fully exploiting data potentiality in assessing and preserving cultural heritage. Point cloud classification workflow is commonly based on the selection and extraction of respective geometric features...

  • Technical Note
  • Open Access
13 Citations
6,318 Views
14 Pages

Design and Implementation of Intelligent EOD System Based on Six-Rotor UAV

  • Jiwei Fan,
  • Ruitao Lu,
  • Xiaogang Yang,
  • Fan Gao,
  • Qingge Li and
  • Jun Zeng

11 December 2021

Explosive ordnance disposal (EOD) robots can replace humans that work in hazardous environments to ensure worker safety. Thus, they have been widely developed and deployed. However, existing EOD robots have some limitations in environmental adaptatio...

  • Article
  • Open Access
25 Citations
5,007 Views
26 Pages

UAV Path Planning Based on Multi-Stage Constraint Optimization

  • Yong Shen,
  • Yunlou Zhu,
  • Hongwei Kang,
  • Xingping Sun,
  • Qingyi Chen and
  • Da Wang

6 December 2021

Evolutionary Algorithms (EAs) based Unmanned Aerial Vehicle (UAV) path planners have been extensively studied for their effectiveness and high concurrency. However, when there are many obstacles, the path can easily violate constraints during the evo...

  • Article
  • Open Access
5 Citations
5,170 Views
18 Pages

Acceleration-Aware Path Planning with Waypoints

  • Rudolf Ortner,
  • Indrajit Kurmi and
  • Oliver Bimber

27 November 2021

In this article we demonstrate that acceleration and deceleration of direction-turning drones at waypoints have a significant influence to path planning which is important to be considered for time-critical applications, such as drone-supported searc...

  • Article
  • Open Access
8 Citations
5,277 Views
14 Pages

26 November 2021

Temperature is often used to infer how climate influences wildlife distributions; yet, other parameters also contribute, separately and combined, with effects varying across geographical scales. Here, we used an unoccupied aircraft system to explore...

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Drones - ISSN 2504-446X