AIMC Topic: Unmanned Aerial Devices

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Facilitating the Work of Unmanned Aerial Vehicle Operators Using Artificial Intelligence: An Intelligent Filter for Command-and-Control Maps to Reduce Cognitive Workload.

Human factors Apr 7, 2022
OBJECTIVE: Evaluating the ability of a Gibsonian-inspired artificial intelligence (AI) algorithm to reduce the cognitive workloads of military Unmanned Aerial Vehicle (UAV) operators.
Unmanned Aerial Devices Workload Awareness Artificial Intelligence Humans Aircraft
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Visual attention prediction improves performance of autonomous drone racing agents.

PloS one Mar 1, 2022
Humans race drones faster than neural networks trained for end-to-end autonomous flight. This may be related to the ability of human pilots to select task-relevant visual information effectively. This work investigates whether neural networks capable...
Humans Neural Networks, Computer Unmanned Aerial Devices Vision, Ocular Fixation, Ocular
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Coverage Path Planning Methods Focusing on Energy Efficient and Cooperative Strategies for Unmanned Aerial Vehicles.

Sensors (Basel, Switzerland) Feb 6, 2022
The coverage path planning (CPP) algorithms aim to cover the total area of interest with minimum overlapping. The goal of the CPP algorithms is to minimize the total covering path and execution time. Significant research has been done in robotics, pa...
Algorithms Unmanned Aerial Devices Conservation of Energy Resources Robotics Physical Phenomena
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A Hybrid Visual-Based SLAM Architecture: Local Filter-Based SLAM with KeyFrame-Based Global Mapping.

Sensors (Basel, Switzerland) Dec 29, 2021
This work presents a hybrid visual-based SLAM architecture that aims to take advantage of the strengths of each of the two main methodologies currently available for implementing visual-based SLAM systems, while at the same time minimizing some of th...
Robotics Unmanned Aerial Devices Algorithms
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Water tank and swimming pool detection based on remote sensing and deep learning: Relationship with socioeconomic level and applications in dengue control.

PloS one Dec 9, 2021
Studies have shown that areas with lower socioeconomic standings are often more vulnerable to dengue and similar deadly diseases that can be spread through mosquitoes. This study aims to detect water tanks installed on rooftops and swimming pools in ...
Mosquito Vectors Dengue Aedes Mosquito Control Swimming Pools Deep Learning Animals Unmanned Aerial Devices Humans Socioeconomic Factors Remote Sensing Technology Disease Outbreaks Seasons
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DAR-Net: Dense Attentional Residual Network for Vehicle Detection in Aerial Images.

Computational intelligence and neuroscience Nov 26, 2021
With the rapid development of deep learning and the wide usage of Unmanned Aerial Vehicles (UAVs), CNN-based algorithms of vehicle detection in aerial images have been widely studied in the past several years. As a downstream task of the general obje...
Attention Unmanned Aerial Devices Image Processing, Computer-Assisted Neural Networks, Computer Algorithms
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Fuzzy adaptive fault diagnosis and compensation for variable structure hypersonic vehicle with multiple faults.

PloS one Aug 13, 2021
Based on the type-II fuzzy logic, this paper proposes a robust adaptive fault diagnosis and fault-tolerant control (FTC) scheme for multisensor faults in the variable structure hypersonic vehicles with parameter uncertainties. Type-II fuzzy method ap...
Humans Computer Simulation Fuzzy Logic Models, Statistical Unmanned Aerial Devices Nonlinear Dynamics Uncertainty
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A feature fusion deep-projection convolution neural network for vehicle detection in aerial images.

PloS one May 7, 2021
With the rapid development of Unmanned Aerial Vehicles, vehicle detection in aerial images plays an important role in different applications. Comparing with general object detection problems, vehicle detection in aerial images is still a challenging ...
Algorithms Image Processing, Computer-Assisted Unmanned Aerial Devices Neural Networks, Computer
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Learning Transferable Driven and Drone Assisted Sustainable and Robust Regional Disease Surveillance for Smart Healthcare.

IEEE/ACM transactions on computational biology and bioinformatics Feb 3, 2021
Smart healthcare has been applied in many fields such as disease surveillance and telemedicine, etc. However, there are some challenges for device deployment, data collection and guarantee of stainability in regional disease surveillance. First, it i...
Public Health Surveillance Telemedicine Unmanned Aerial Devices Algorithms Models, Statistical Machine Learning Humans
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Estimating canopy leaf angle from leaf to ecosystem scale: a novel deep learning approach using unmanned aerial vehicle imagery.

The New phytologist Jul 1, 2025
Leaf angle distribution (LAD) impacts plant photosynthesis, water use efficiency, and ecosystem primary productivity, which are crucial for understanding surface energy balance and climate change responses. Traditional LAD measurement methods are tim...
Ecosystem Plant Leaves Unmanned Aerial Devices Deep Learning Image Processing, Computer-Assisted
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