Results 101 to 110 of about 31,296 (216)

Drone impact assessment on aircraft structure: flat plate testing and analysis

, 2020
Over the last decade, aerial drones have been increasingly used by both professional and inexperienced users resulting in few impact incidents throughout the world. Transport Canada (TC) has already implemented regulations dealing with the operation of drones, especially in sensitive areas such as airports where a safe distance must be observed ...
Dadouche, Azzedine, Galeote, Brian, Breithaupt, Timothy, Greer, Allan, Backman, David, Li, Gary (Linxi), Vidal, Charles, Gould, Ron   +7 more
openaire   +3 more sources

Monitoring active osprey nests with drones is more time efficient and less disturbing than conventional methods

Wildlife Biology, EarlyView.
Drones are used to monitor bird nesting sites at less accessible locations, such as on cliffs, human infrastructure, or within the tree canopy. While there are a growing number of studies documenting avian behavioral responses to various drones, there is a continued need to monitor taxa‐specific responses to different drone models. We explored both the
Natasha K. Murphy, Jared A. Elmore, Melanie R. Boudreau, Brian S. Dorr, Scott A. Rush   +4 more
wiley   +1 more source

A comparison of thermal drones and camera trap population estimates for Sitka black‐tailed deer in Alaska

Wildlife Biology, EarlyView.
One of the most difficult challenges for wildlife managers is reliably estimating wildlife populations. Camera traps combined with spatial capture–recapture (SCR) models are a popular tool for population estimation. They have limitations, however, including long data processing times.
Shannon P. Finnegan, Amael Hinojo, Sarah Monod, William A. Wall, Peter Olsen, Maximilian L. Allen   +5 more
wiley   +1 more source

Defect Detection Image Processing for Drone Inspection on Wide-Body Aircraft Surface [PDF]

E3S Web of Conferences
The dependence on Unmanned Aerial Vehicles (UAVs) has greatly increased in many sectors around the globe. UAVs are in high demand and their technology is developing quickly, due to their ability to handle a variety of issues in a sophisticated manner ...
Mokhtar Muhammad Izham Mohd, Basri Adi Azriff, Basri Ernnie Illyani, Sultan Mohammed Thariq Hameed   +3 more
doaj   +1 more source

Monitoring wildlife using long‐endurance solar‐electric UAVs

Wildlife Biology, EarlyView.
This report discusses the effectiveness of using small solar‐electric UAV (uncrewed aerial vehicles) for aerial wildlife monitoring. We review four years of aerial wildlife monitoring missions using a 5.5‐m wingspan, solar‐electric UAV that was equipped with a gimballed IR/RGB camera.
Götz Bramesfeld, William Bissonnette, Maya Rahaman‐Noronha, Kanwar Johal   +3 more
wiley   +1 more source

Evaluating machine learning models for multi‐species wildlife detection and identification on remote sensed nadir imagery in South African savanna

Wildlife Biology, EarlyView.
This research paper investigates the efficacy of leading machine learning (ML) models for detecting and identifying ungulate species in African savanna using nadir imagery from unmanned aerial vehicles (UAVs). Traditional aerial counting methods, while widely used, suffer from significant limitations in accuracy and precision, in part due to human ...
Paul Allin, Fadel Seydou, Radloff Frans, Andrew Davies, Alison Leslie   +4 more
wiley   +1 more source

Micro-Credentialing and Digital Badges in Developing RPAS Knowledge, Skills, and Other Attributes

Multimodal Technologies and Interaction
This study explores the potential of micro-credentialing and digital badges in developing and validating the knowledge, skills, and other attributes (KSaOs) required for diverse Remotely Piloted Aircraft Systems (RPAS) operations. The rapid proliferation
John Murray, Keith Joiner, Graham Wild
doaj   +1 more source

Using drones and artificial intelligence to assess damage in aircraft assembly joints

Technologia i Automatyzacja Montażu
Rapid development of Artificial Intelligence (AI) technologies in recent years has created new opportunities to address the growing challenges in the aviation industry. Machine learning and Deep Learning, particularly through Convolutional Neural Networks (CNNs), have advanced image recognition capabilities, enhancing inspection processes possibilities.
Filip Kubik, Marcin Krysiak
openaire   +2 more sources

Estimating red deer Cervus elaphus population density using drones in a steep and rugged terrain

Wildlife Biology, EarlyView.
Precise and accurate information about population density, crucial for wildlife management, is difficult to obtain for elusive species living in dense forests or steep and inaccessible terrain. Using unmanned aerial vehicles (UAVs), we developed a method for obtaining absolute population estimates of ungulates living in steep, rugged, and partly ...
Julie Bommerlund, Torbjørn Ergon, Simon Filhol, Atle Mysterud   +3 more
wiley   +1 more source

Experimental assessment of large mammal population estimates from airborne thermal videography

Wildlife Biology, EarlyView.
Wildlife resource management requires reliable, fast, and affordable methods of surveying wildlife populations to develop and adaptively adjust policies. Thermal video from drones can yield high rates of detection over large areas with relative speed and safety.
Julia S. McElhinny, Gregory D. Larsen, Maxwell Messinger, Chad H. Newbolt, Andrew Whitworth, Stephen S. Ditchkoff, Miles R. Silman, Jared T. Beaver   +7 more
wiley   +1 more source