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Drones, Volume 2, Issue 4

December 2018 - 14 articles

Cover Story: After years of research in the Heron Island Reef Lagoon with colleagues from Macquarie University, we recognized the difficulty of observing the behaviour and movement of animals in this shallow exposed environment. The lagoon was almost exclusively accessible by boat during high tides, or by foot at low tides. These environments prevent the use of many traditional animal movement tracking approaches. Initially interested in using drones to find the enigmatic Epaulette sharks, for which very little ecological information is available, we realised that drones themselves could become an effective tracking tool for marine vertebrate research. This paper outlines a simple approach to tracking the movement and behaviour of marine vertebrates in shallow environments that any researcher can use with an off-the-shelf drone and open access software. View this paper.

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Articles (14)

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Review

130 Citations

18,985 Views

14 Pages

UAVs in Support of Algal Bloom Research: A Review of Current Applications and Future Opportunities

Chippie Kislik,
Iryna Dronova and
Maggi Kelly

Drones2018, 2(4), 35;https://doi.org/10.3390/drones2040035

17 October 2018

Algal blooms have become major public health and ecosystem vitality concerns globally. The prevalence of blooms has increased due to warming water and additional nutrient inputs into aquatic systems. In response, various remotely-sensed methods of de...

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Article

111 Citations

19,973 Views

15 Pages

Autonomous Landing of a UAV on a Moving Platform Using Model Predictive Control

Yi Feng,
Cong Zhang,
Stanley Baek,
Samir Rawashdeh and
Alireza Mohammadi

Drones2018, 2(4), 34;https://doi.org/10.3390/drones2040034

12 October 2018

Developing methods for autonomous landing of an unmanned aerial vehicle (UAV) on a mobile platform has been an active area of research over the past decade, as it offers an attractive solution for cases where rapid deployment and recovery of a fleet...

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Article

6 Citations

4,503 Views

18 Pages

Biologically-Inspired Intelligent Flocking Control for Networked Multi-UAS with Uncertain Network Imperfections

Mohammad Jafari and
Hao Xu

Drones2018, 2(4), 33;https://doi.org/10.3390/drones2040033

29 September 2018

In this paper, a biologically-inspired distributed intelligent control methodology is proposed to overcome the challenges, i.e., networked imperfections and uncertainty from the environment and system, in networked multi-Unmanned Aircraft Systems (UA...

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Review

9 Citations

8,420 Views

11 Pages

Person Identification from Drones by Humans: Insights from Cognitive Psychology

Matthew C. Fysh and
Markus Bindemann

Drones2018, 2(4), 32;https://doi.org/10.3390/drones2040032

28 September 2018

The deployment of unmanned aerial vehicles (i.e., drones) in military and police operations implies that drones can provide footage that is of sufficient quality to enable the recognition of strategic targets, criminal suspects, and missing persons....

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