AIMC Topic: Aircraft
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Automated detection of koalas using low-level aerial surveillance and machine learning.
Scientific reports
Mar 1, 2019
Effective wildlife management relies on the accurate and precise detection of individual animals. These can be challenging data to collect for many cryptic species, particularly those that live in complex structural environments. This study introduce...
Evaluating sociotechnical dynamics in a simulated remotely-piloted aircraft system: a layered dynamics approach.
Ergonomics
Feb 4, 2019
As coordination mechanisms change and technology failures occur, a sociotechnical system must reorganise itself across human and technological layers to maintain effectiveness. We present a study examining reorganisation across communication, control...
Avian-inspired energy-harvesting from atmospheric phenomena for small UAVs.
Bioinspiration & biomimetics
Nov 20, 2018
Fixed-wing small, unmanned aerial vehicles usually fly in atmospheric boundary layers that are often under the influence of turbulent environments. Inspired by nature's flyers, an application of an energy-harvesting flight strategy for increasing the...
Predicting the Health Status of an Unmanned Aerial Vehicles Data-Link System Based on a Bayesian Network.
Sensors (Basel, Switzerland)
Nov 13, 2018
Unmanned aerial vehicles (UAVs) require data-link system to link ground data terminals to the real-time controls of each UAV. Consequently, the ability to predict the health status of a UAV data-link system is vital for safe and efficient operations....
Continuous patrolling in uncertain environment with the UAV swarm.
PloS one
Aug 24, 2018
The research about unmanned aerial vehicle (UAV) swarm has developed rapidly in recent years, especially the UAV swarm with sensors which is becoming common means of achieving situational awareness. Due to inadequate researches of the UAV swarm with ...
A Novel Teaching-Learning-Based Optimization with Error Correction and Cauchy Distribution for Path Planning of Unmanned Air Vehicle.
Computational intelligence and neuroscience
Aug 1, 2018
Teaching-learning-based optimization (TLBO) algorithm is a novel heuristic method which simulates the teaching-learning phenomenon of a classroom. However, in the later period of evolution of the TLBO algorithm, the lower exploitation ability and the...
Robotic bees for crop pollination: Why drones cannot replace biodiversity.
The Science of the total environment
Jun 14, 2018
The notion that robotic crop pollination will solve the decline in pollinators has gained wide popularity recently (Fig. 1), and in March 2018 Walmart filed a patent for autonomous robot bees. However, w present six arguments showing that this is a t...
A Machine Learning Approach to the Detection of Pilot's Reaction to Unexpected Events Based on EEG Signals.
Computational intelligence and neuroscience
Apr 10, 2018
This work considers the problem of utilizing electroencephalographic signals for use in systems designed for monitoring and enhancing the performance of aircraft pilots. Systems with such capabilities are generally referred to as cognitive cockpits. ...
Integrated optimization of unmanned aerial vehicle task allocation and path planning under steady wind.
PloS one
Mar 21, 2018
Wind has a significant effect on the control of fixed-wing unmanned aerial vehicles (UAVs), resulting in changes in their ground speed and direction, which has an important influence on the results of integrated optimization of UAV task allocation an...
Modelling multi-rotor UAVs swarm deployment using virtual pheromones.
PloS one
Jan 25, 2018
In this work, a swarm behaviour for multi-rotor Unmanned Aerial Vehicles (UAVs) deployment will be presented. The main contribution of this behaviour is the use of a virtual device for quantitative sematectonic stigmergy providing more adaptable beha...
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