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Drones, Volume 6, Issue 12

December 2022 - 61 articles

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Cover Story: Drones for planetary exploration missions require increased onboard mission-planning abilities to access their full operational potential in remote environments (e.g., Antarctica, Mars, or Titan). Limitations in available sensors and environmental uncertainty present challenges for planning such missions. We used partially observable Markov decision processes (POMDPs) to formulate mission planning with uncertainty. Our UAV4PE framework for autonomous mission planning uses Python, C++, ROS, PX4, and JuliaPOMDP to plan and execute planetary missions in simulation, emulation, and real-world experiments. The source code and the experiment data are included in the UAV4PE framework. View this paper

Articles (61)

  • Article
  • Open Access
8 Citations
4,387 Views
16 Pages

19 December 2022

Among the key technologies of Multi-Unmanned Aerial Vehicle (UAV) leader–follower formation control, formation reconfiguration technology is an important element to ensure that multiple UAVs can successfully complete their missions in a complex...

  • Article
  • Open Access
2 Citations
3,308 Views
29 Pages

19 December 2022

Pedestrian detection and tracking are critical functions in the application of computer vision for autonomous driving in terms of accident avoidance and safety. Extending the application to drones expands the monitoring space from 2D to 3D but compli...

  • Article
  • Open Access
2 Citations
2,913 Views
21 Pages

19 December 2022

Accurate terrain models are critical for studying the formation and development of slot canyons. However, for slot canyon landforms, it is challenging to generate comprehensive and high-resolution morphological data by individual observation due to t...

  • Article
  • Open Access
34 Citations
3,321 Views
22 Pages

19 December 2022

The control of an aerial flexible joint robot (FJR) manipulator system with underactuation is a difficult task due to unavoidable factors, including, coupling, underactuation, nonlinearities, unmodeled uncertainties, and unpredictable external distur...

  • Article
  • Open Access
1 Citations
2,233 Views
21 Pages

Experimentally Determining Optimal Conditions for Mapping Forage Fish with RPAS

  • Nicola R. Houtman,
  • Jennifer Yakimishyn,
  • Mike Collyer,
  • Jennifer Sutherst,
  • Cliff L. K. Robinson and
  • Maycira Costa

17 December 2022

RPAS (Remotely piloted aircraft systems, i.e., drones) present an efficient method for mapping schooling coastal forage fish species that have limited distribution and abundance data. However, RPAS imagery acquisition in marine environments is highly...

  • Communication
  • Open Access
6 Citations
2,194 Views
6 Pages

17 December 2022

Field surveys in wetlands are limited by the difficulty in accessing the site, hazards during surveys, and the risk of disturbing the ecosystem. Thus, the use of unoccupied aerial vehicles (UAVs) can overcome these limiting factors and can assist in...

  • Feature Paper
  • Article
  • Open Access
4 Citations
3,497 Views
21 Pages

A Group Handover Scheme for Supporting Drone Services in IoT-Based 5G Network Architectures

  • Emmanouil Skondras,
  • Ioannis Kosmopoulos,
  • Emmanouel T. Michailidis,
  • Angelos Michalas and
  • Dimitrios D. Vergados

17 December 2022

Next generation mobile networks are expected to integrate multiple drones organized in Flying Ad Hoc Networks (FANETs) to support demanding and diverse services. The highly mobile drones should always be connected to the network in order to satisfy t...

  • Review
  • Open Access
28 Citations
11,613 Views
26 Pages

Application and Development of Autonomous Robots in Concrete Construction: Challenges and Opportunities

  • Shun Zhao,
  • Qiang Wang,
  • Xinjun Fang,
  • Wei Liang,
  • Yu Cao,
  • Changyi Zhao,
  • Lu Li,
  • Chunbao Liu and
  • Kunyang Wang

16 December 2022

Updated concrete construction robots are designed to optimize equipment operation, improve safety, enhance workspace awareness, and further ensure a proper working environment for construction workers. The importance of concrete construction robots h...

  • Feature Paper
  • Article
  • Open Access
15 Citations
3,763 Views
19 Pages

Transferability of Models for Predicting Rice Grain Yield from Unmanned Aerial Vehicle (UAV) Multispectral Imagery across Years, Cultivars and Sensors

  • Hengbiao Zheng,
  • Wenhan Ji,
  • Wenhui Wang,
  • Jingshan Lu,
  • Dong Li,
  • Caili Guo,
  • Xia Yao,
  • Yongchao Tian,
  • Weixing Cao and
  • Yan Zhu
  • + 1 author

16 December 2022

Timely and accurate prediction of crop yield prior to harvest is vital for precise agricultural management. Unmanned aerial vehicles (UAVs) provide a fast and convenient approach to crop yield prediction, but most existing crop yield models have rare...

  • Feature Paper
  • Article
  • Open Access
8 Citations
3,595 Views
17 Pages

Mapping the Leaf Area Index of Castanea sativa Miller Using UAV-Based Multispectral and Geometrical Data

  • Luís Pádua,
  • Pamela M. Chiroque-Solano,
  • Pedro Marques,
  • Joaquim J. Sousa and
  • Emanuel Peres

16 December 2022

Remote-sensing processes based on unmanned aerial vehicles (UAV) have opened up new possibilities to both map and extract individual plant parameters. This is mainly due to the high spatial data resolution and acquisition flexibility of UAVs. Among t...

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