AIMC Topic: Unmanned Aerial Devices

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Drone-assisted collection of environmental DNA from tree branches for biodiversity monitoring.

Science robotics Jan 18, 2023
The protection and restoration of the biosphere is crucial for human resilience and well-being, but the scarcity of data on the status and distribution of biodiversity puts these efforts at risk. DNA released into the environment by organisms, i.e., ...
Animals Robotics Humans DNA, Environmental Unmanned Aerial Devices Trees Biodiversity
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Artificial intelligence for automated detection of large mammals creates path to upscale drone surveys.

Scientific reports Jan 18, 2023
Imagery from drones is becoming common in wildlife research and management, but processing data efficiently remains a challenge. We developed a methodology for training a convolutional neural network model on large-scale mosaic imagery to detect and ...
Cattle Artificial Intelligence Neural Networks, Computer Animals Unmanned Aerial Devices Software Reindeer
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Testing the delivery of human organ transportation with drones in the real world.

Science robotics Dec 21, 2022
Last-mile transportation of human donor lungs in a densely populated urban environment has been made possible with drones.
Transportation Unmanned Aerial Devices Robotics Humans
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Countering a Drone in a 3D Space: Analyzing Deep Reinforcement Learning Methods.

Sensors (Basel, Switzerland) Nov 16, 2022
Unmanned aerial vehicles (UAV), also known as drones have been used for a variety of reasons and the commercial drone market growth is expected to reach remarkable levels in the near future. However, some drone users can mistakenly or intentionally f...
Algorithms Unmanned Aerial Devices Aircraft Humans Artificial Intelligence
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Control Strategy of an Underactuated Underwater Drone-Shape Robot for Grasping Tasks.

Sensors (Basel, Switzerland) Nov 15, 2022
In underwater environments, ensuring people's safety is complicated, with potentially life-threatening outcomes, especially when divers have to work in deeper conditions. To improve the available solutions for working with robots in this kind of envi...
Hydrodynamics Acceleration Feedback Humans Unmanned Aerial Devices Robotics
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PACNav: a collective navigation approach for UAV swarms deprived of communication and external localization.

Bioinspiration & biomimetics Nov 3, 2022
This article proposes Persistence Administered Collective Navigation (PACNav) as an approach for achieving the decentralized collective navigation of unmanned aerial vehicle (UAV) swarms. The technique is based on the flocking and collective navigati...
Aircraft Unmanned Aerial Devices Communication Robotics Cattle Animals Humans
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Efficient Informative Path Planning via Normalized Utility in Unknown Environments Exploration.

Sensors (Basel, Switzerland) Nov 2, 2022
Exploration is an important aspect of autonomous robotics, whether it is for target searching, rescue missions, or reconnaissance in an unknown environment. In this paper, we propose a solution to efficiently explore the unknown environment by unmann...
Unmanned Aerial Devices Robotics Computer Simulation
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Species level mapping of a seagrass bed using an unmanned aerial vehicle and deep learning technique.

PeerJ Oct 17, 2022
BACKGROUND: Seagrass beds are essential habitats in coastal ecosystems, providing valuable ecosystem services, but are threatened by various climate change and human activities. Seagrass monitoring by remote sensing have been conducted over past deca...
Seaweed Ecosystem Zosteraceae Unmanned Aerial Devices Humans Deep Learning
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Detecting Human Actions in Drone Images Using YoloV5 and Stochastic Gradient Boosting.

Sensors (Basel, Switzerland) Sep 16, 2022
Human action recognition and detection from unmanned aerial vehicles (UAVs), or drones, has emerged as a popular technical challenge in recent years, since it is related to many use case scenarios from environmental monitoring to search and rescue. I...
Unmanned Aerial Devices Machine Learning Human Activities Humans
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Protecting endangered megafauna through AI analysis of drone images in a low-connectivity setting: a case study from Namibia.

PeerJ Aug 3, 2022
Assessing the numbers and distribution of at-risk megafauna such as the black rhino () is key to effective conservation, yet such data are difficult to obtain. Many current monitoring technologies are invasive to the target animals and expensive. Sat...
Artificial Intelligence Unmanned Aerial Devices Namibia Humans
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