AIMC Topic: Unmanned Aerial Devices

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UAV Multisensory Data Fusion and Multi-Task Deep Learning for High-Throughput Maize Phenotyping.

Sensors (Basel, Switzerland)
Recent advances in unmanned aerial vehicles (UAV), mini and mobile sensors, and GeoAI (a blend of geospatial and artificial intelligence (AI) research) are the main highlights among agricultural innovations to improve crop productivity and thus secur...

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

Science robotics
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., ...

Artificial intelligence for automated detection of large mammals creates path to upscale drone surveys.

Scientific reports
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 ...

Testing the delivery of human organ transportation with drones in the real world.

Science robotics
Last-mile transportation of human donor lungs in a densely populated urban environment has been made possible with drones.

Countering a Drone in a 3D Space: Analyzing Deep Reinforcement Learning Methods.

Sensors (Basel, Switzerland)
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...

Control Strategy of an Underactuated Underwater Drone-Shape Robot for Grasping Tasks.

Sensors (Basel, Switzerland)
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...

PACNav: a collective navigation approach for UAV swarms deprived of communication and external localization.

Bioinspiration & biomimetics
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...

Efficient Informative Path Planning via Normalized Utility in Unknown Environments Exploration.

Sensors (Basel, Switzerland)
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...

Species level mapping of a seagrass bed using an unmanned aerial vehicle and deep learning technique.

PeerJ
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...

Detecting Human Actions in Drone Images Using YoloV5 and Stochastic Gradient Boosting.

Sensors (Basel, Switzerland)
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...