Drones - Science topic

Après un master en Fonctionnement des écosystèmes à l’université de Montpellier (2008-2010), j’ai fait ma thèse à l’université de Lorraine ( soutenue en 2014) entre le laboratoire agronomie et environnement et l’Agroscope ( Zurich, Suisse). Par la suite j’ai travaillé au sein de l’institut Norvégien de Bioéconomie( NIBIO) avant d’être recruté au CI...

There is an increasing recognition of the value of forests for carbon storage, and hence interest in estimating Above Ground Biomass (AGB) for individual trees and across forests. Field-based inventories of AGB for hundreds of trees based on variables such as height and Diameter at Breast Height (DBH) can be costly and labor intensive, and hence th...

Avionics systems of an Unmanned Aerial Vehicle (UAV) or drone are the critical electronic components found onboard that regulate, navigate, and control UAV travel while ensuring public safety. Contemporary UAV avionics work together to facilitate success of UAV missions by enabling stable communication, secure identification protocols, novel energy...

This paper investigates the orientation, position, and linear velocity estimation problem of a rigid-body moving in three-dimensional (3D) space with six degrees-of-freedom (6 DoF). The highly nonlinear navigation kinematics are formulated to ensure global representation of the navigation problem. A computationally efficient Quaternion-based Naviga...

An accurate measurement of anthropogenic methane emissions is essential for improving the representation of greenhouse gas inventories and for mitigating the effects of climate change. Often, theoretical models overestimate actual emission values, while field measurements tend to be costly and/or labour-intensive. Landfills represent an important e...

Drone-mounted LiDAR systems have revolutionized forest mapping, but data quality is often compromised by occlusions caused by vegetation and terrain features. This study presents a novel framework for analyzing and predicting LiDAR occlusion patterns in forested environments, combining the geometric reconstruction of flight paths with the statistic...

The subject of the paper is a multimodal dataset (DPJAIT) containing drone flights prepared in two variants – simulation-based and with real measurements captured by the gold standard Vicon system. It contains video sequences registered by the synchronized and calibrated multicamera set as well as reference 3D drone positions in successive time ins...

This systematic review examines the integration of directed acyclic graph (DAG)-based blockchain technology in smart mobility ecosystems, focusing on electric vehicles (EVs), robotic systems, and drone swarms. Adhering to PRISMA guidelines, we conducted a comprehensive literature search across Web of Science, Scopus, IEEE Xplore, and ACM Digital Li...

The vertical take-off and landing (VTOL) drone is an innovative technology that offers enhanced operational flexibility by combining vertical take-off and landing capabilities with efficient forward flight, eliminating the need for runways. This review provides a comprehensive analysis of hybrid VTOL systems, focusing on their application-specific...

Agricultural startups are revolutionizing the industry with innovative approaches. Precision agriculture utilizes technology like GPS and drones to optimize resource use and increase yields. Vertical farming and controlled environment agriculture address land scarcity and climate challenges by growing crops indoor. Agri-tech marketplaces connect fa...

Drones or unmanned aerial vehicles are traditionally used for military missions, warfare, and espionage. However, the usage of drones has significantly increased due to multiple industrial applications involving security and inspection, transportation , research purposes, and recreational drone flying. Such an increased volume of drone activity in...

This study demonstrates the feasibility of measuring temperature variance and sensible heat flux with self-calibrated fine-wire platinum resistance thermometers (FWPRT) on multicopter drones. The sensors are especially designed for light-weight, fast response-times and to be carried on miniature drones for turbulence measurements. A significant imp...

For many years, hierarchical governance of aviation has, via incremental refinement of (trans)national rules and regulations, contributed to extraordinary safety and security performance. With the emergence of drone systems, embodying very different technologies, applications and accessibility, these governance arrangements have faced specific adap...

Climate change seriously affects forests worldwide, reducing their adaptive capacity and increasing their vulnerability. The Kawí Tamiruyé plot, located in the Sierra Tarahumara (Mexico), is a strategic site to study these variations. The main objective of this research is to document the investigations carried out between 2021 and 2024. Novel find...

Effective thermal management is critical for lithium-ion battery packs' safe and efficient operations, particularly in applications such as drones, where compact designs and varying airflow conditions present unique challenges. This study investigates the thermal performance of a 16-cell lithium-ion battery pack by optimizing cooling airflow config...

Autonomous drone navigation in dynamic environments remains a critical challenge, especially when dealing with unpredictable scenarios including fast-moving objects with rapidly changing goal positions. While traditional planners and classical optimisation methods have been extensively used to address this dynamic problem, they often face real-time...

Resumen En este estudio se utilizaron dos tipos de drones, uno aéreo y uno submarino, para documentar el evento más reciente de blanqueamiento coralino en el Parque Nacional Sistema Arrecifal Veracruzano. A partir de las fotografías aéreas obtenidas con el dron aéreo se realizaron mosaicos fotográficos para cubrir las zonas someras de dos arrecifes...

We present SIREN for registration of multi-robot Gaussian Splatting (GSplat) maps, with zero access to camera poses, images, and inter-map transforms for initialization or fusion of local submaps. To realize these capabilities, SIREN harnesses the versatility and robustness of semantics in three critical ways to derive a rigorous registration pipel...

Drone-based synthetic aperture radar (SAR) systems have increasingly gained attention due to their potential for rapid surveillance in localized areas. This paper presents a novel approach to SAR processing for subsurface target detection from a lightweight drone platform. The limited processing capacity and memory resources of small SAR platforms...

Disaster Victim Identification (DVI) following mass fatality events is critical in bringing closure to the victims’ family members and their loved ones. However, post-disaster environments are typically unfavourable and pose difficulties for the execution of DVI procedures. Delays in collecting, transporting, and processing the samples may cause DN...

The article addresses the issue of selecting the initial shape for a drone’s suspended transport container and its impact on the final aerodynamic properties during the flight, specifically aerodynamic drag, based on the simulated pressure differences generated by the suspended container. The motivation arose from the project ITMS2014+:313011 ATR9...

The smart metering infrastructure may become one of the key elements in efficiently managing energy in smart cities. At the same time, traditional measurement record collection is performed by manual methods, which raises cost, safety, and accuracy issues. This paper proposes an innovative SMI architecture based on an unmanned aerial vehicle swarm...

In the last decade, unmanned aerial vehicles (UAVs), commonly known as drones, have been used for different purposes, including applications such as search and rescue, highway patrol, and infrastructure inspections for power lines, bridges, and factories. These applications require UAVs that can operate under specific conditions or complex environm...

Este e-book apresenta, em uma linguagem acessível, conceitos, tecnologias e ferramentas para o desenvolvimento de gêmeos digitais aplicados aos canteiros de obra, com foco na gestão da produção e na segurança, objetivando disseminar essa nova tecnologia, que está alinhada à transformação digital da indústria da construção. O material tem origem na...

Poate că au propriile lor relații (Trump și Putin-n.n.), dar să vorbești despre Ucraina fără noi-este periculos pentru toată lumea" (V. Zelensky) Au trecut 1080! de zile de la invazia Ucrainei de către hoardele lui Putin pe 24.02.2022. Peste apr. două săptămâni se vor împlini trei ani de la declanșarea celui mai ilogic, celui mai criminal, celui ma...

Drones are useful tools for performing tasks that are difficult for humans. Thus, they are being increasingly utilized in various fields. In smart construction, a range of methods, including robots and drones, has been proposed to inspect facilities and other similar structures. Global navigation satellite system (GNSS) shadowing can occur when lar...

This paper investigates the application of Deep Reinforcement (DRL) Learning to address motion control challenges in drones for additive manufacturing (AM). Drone-based additive manufacturing promises flexible and autonomous material deposition in large-scale or hazardous environments. However, achieving robust real-time control of a multi-rotor ae...

As the events of the Russian war in Ukraine show, the resilience of the local communities in the regions of the conflict zone and frontline regions as the ability of de-occupied communities to recover is not equal. Given the hybrid nature of modern war, its informational and manipulative component, as well as the genuine threats posed by missile an...

The ability of drones to provide detailed information on animals and their surroundings makes them ideal for studying animal behaviour at fine scales. While drones can provide high-resolution images of what animals are doing, they should also, in theory, be able to provide data on where they are. However, reconstructing geo-referenced tracks from d...

Numerical methods that preserves geometric invariants of the system such as energy, momentum and symplectic form, are called geometric integrators. These include variational integrators as an important subclass of geometric integrators. The general idea for those variational integrators is to discretize Hamilton's principle rather than the equation...

Composite materials are gaining attention owing to their exemplary characteristics and, if the materials are eco-friendly, they attract much more. One such composite of poly lactic acid (PLA) combined with bamboo fiber in the ratio of 80:20 is selected for this study. The composites are manufactured using additive manufacturing, or the 3D-printing...

Algunas de las patologías producidas en los edificios históricos pueden ser detectadas mediante inspección visual, sin la necesidad de utilizar equipos o herramientas especializadas. Otras suelen requerir la aplicación de métodos mecánicos para determinar condiciones o lesiones no evidentes. Este ha sido el caso de los estudios parietales sobre mur...

The fuel consumption of a harvester–operator system was modeled to select logging methods by comparing the forward felling technique (C) and the sideways techniques at the logging edge (A and D) or inside of the stand (B and E). To that end, trees’ logging cycle process data were collected using a drone for time consumption analysis. The fuel consu...

Accurate and efficient segmentation of key categories of transmission line corridor point clouds is one of the prerequisite technologies for the application of transmission line drone inspection. However, current semantic segmentation methods are limited to a few categories, involve cumbersome processes, and exhibit low accuracy. To address these i...

Le document présente le projet TRIDA, qui vise à étudier les méthodes de prospection des oiseaux marins nicheurs en France métropolitaine. Il identifie divers sites d'étude et habitats, et décrit les espèces cibles. Le document détaille les protocoles d'inventaire, incluant les comptages directs, les méthodes photographiques, et l'échantillonnage....

This study examines the strategic selection and comparison of manufacturing processes for two distinct applications: (1) a drone chassis requiring lightweight yet durable construction, and (2) a prosthetic hand socket demanding customization and scalability. For the drone chassis, Carbon Fiber Reinforced Polymer (CFRP) Injection Molding is proposed...

This article presents a method for automated apple counting using high-resolution images obtained from unmanned aerial vehicles (UAVs). The YOLO11 architecture, specifically models from YOLO11n to YOLO11x, was employed for fruit detection. Key steps included creating orthophotos, segmenting data into tiles, training a convolutional neural network (...

In the field of unmanned aerial vehicle (UAV) path planning, the conventional deep Q-network (DQN) algorithm encounters the issue of action space discretization, which results in the generation of unsmooth and inefficient planned paths. To address this issue, we introduce the particle swarm optimization (PSO) algorithm into DQN to convert the discr...

Esta pesquisa avaliou os efeitos da combinação de bioestimulantes com herbicidas na pulverização localizada para o controle de plantas daninhas em cultivos de soja, utilizando drones. Justifica-se pela crescente resistência de plantas daninhas ao glifosato e pela necessidade de soluções agrícolas sustentáveis. Desta forma, teve como objetivo invest...

Triggered by continuous heavy rainfall, a catastrophic large-scale high-locality landslide occurred in Hengshanbei mountain slope of Shangxi Village, Longchuan County, Guangdong Province, China, on June 14, 2022, at 12:10 (UTC + 8). The landslide had an estimated volume of about 1.45 × 10⁵ m³ and resulted in severe damage to the region. To investig...

The endangered Gaoligong hoolock gibbon (Hoolock tianxing) faces significant threats from habitat degradation and loss, making accurate habitat assessment crucial for effective conservation. This study explored the effectiveness of high-resolution small unoccupied aerial system (sUAS) imagery for evaluating habitat quality, comparing its performanc...

One of the important tools used by Natural Disaster Mitigation and Management (NDMM) in recent times is drone surveillance, particularly effective in disaster-affected areas. Drones equipped with modern imaging capabilities offer enhanced coverage and accessibility in disaster-affected areas, making them particularly effective in locating individua...

The use of drones in agriculture is increasingly important due to challenges like population growth, climate change, and water scarcity. Advances in communication, remote sensing, IoT, wireless sensor networks, artificial intelligence and image processing have expanded research in this field. This study uses the systematic literature review method...

In the wake of devastating cyclones, rapid and accurate assessment of crop damage is crucial for timely intervention and resource allocation. The acquiring of high-quality and up-to-date satellite or aerial imagery immediately following a cyclone is often difficult due to adverse weather conditions and limited access to affected areas. The objectiv...

El libro "Inteligencia Artificial, Esclavismo Virtual y Transformación Digital en América Latina y el Caribe" es más que un compendio de análisis; es una radiografía de los cambios irreversibles que la tecnología ha comenzado a imprimir en nuestra realidad. En los próximos diez años, el mundo experimentará una transformación sin precedentes, impuls...

Extreme temperatures associated with climate change are expected to impact the physiology and fertility of a variety of insects, including honey bees. Most previous work on this topic has focused on female honey bees (workers and queens), and comparatively little research has investigated how heat exposure affects males (drones). To address this ga...

ABSTRAK Perkembangan teknologi drone telah membuka berbagai peluang aplikasi di berbagai sektor, termasuk pengiriman barang, pemantauan lingkungan, dan operasional keamanan. Artikel ini membahas rancang bangun drone double blade versi Bambang Best yang dirancang untuk membawa payload sebesar 16 kg dengan jarak kendali mencapai 10 km. Desain drone i...

This paper investigates the issue of pre-site selection for drone stations with the aim of enhancing the rapid assessment capability of urban road traffic accidents. Firstly, the influence of traffic accidents on urban traffic is analyzed, and the potential application of drones in rapid response at the accident scene is explored. A minimization mo...

Accurate people localisation using drones is crucial for effective crowd management, not only during massive events and public gatherings but also for monitoring daily urban crowd flow. Traditional methods for tiny object localisation using high-resolution drone imagery often face limitations in precision and efficiency, primarily due to constraint...

The Internet of Drones (IoD) is an emerging industry that offers convenient services for humans due to the high mobility and flexibility of drones. The IoD substantially enhances human life by enabling diverse drone applications across various domains. However, a malicious adversary can attempt security attacks because communication within an IoD e...

Erosion is a critical geological process that degrades soil and poses significant risks to human settlements and natural habitats. As climate change intensifies, effective coastal erosion management and prevention have become essential for our society and the health of our planet. Given the vast extent of coastal areas, erosion management efforts m...

Advancements in embedded systems and Artificial Intelligence (AI) have enhanced the capabilities of Unmanned Aircraft Vehicles (UAVs) in computer vision. However, the integration of AI techniques o-nboard drones is constrained by their processing capabilities. In this sense, this study evaluates the deployment of object detection models (YOLOv8n an...

Abstrak Penelitian ini bertujuan untuk merancang dan membangun drone double blade versi Tony Fajar Setiawan yang mampu menempuh jarak kendali hingga 19 km dan membawa beban Payload maksimal 25 kg sehingga sangat dibutuhkan untuk suplay makanan maupun munisi guna menunjang pergerakan pasukan yang berada di dalam hutan belantara. Proses rancang bangu...

Abstrak Teknologi drone yang di desain ini membuka peluang besar dalam berbagai bidang, seperti logistik, pemantauan lingkungan, dan pertanian. Penelitian ini bertujuan untuk merancang dan membangun drone double blade versi La Heri dengan kemampuan membawa payload hingga 27 kg dan jarak kendali maksimal 21 km. Uji coba dilakukan pada jarak kendali...

Investigating ecological questions at the scale of individual organisms is necessary to understand and predict the biological consequences of changing environmental conditions. For small organisms, this can be challenging because ecologists need tools with the appropriate accuracy, precision, and resolution to record and quantify their ecological i...

Artykuł stanowi omówienie (na przykładach filmowych oraz na gruncie forensycznych praktyk kolektywu Forensic Architecture) zagadnienia operacji wojskowych z wykorzystaniem dronów bojowych jako elementuwspółczesnej kultury wizualnej. Analiza formalnych właściwości obrazów, transmitujących za pośrednictwem drona rzeczywistość wojny, pozwala autorowi...

Drone object detection is a critical area within computer vision, facing challenges such as low accuracy in detecting large occluded objects and high rates of missed detection for small objects. These issues arise from inadequate emphasis on the distinctive features of the target area during detection and the regression enhancement of low-quality t...

Bio-hybrid drones, which combine biological odor sensors with small drones, introduce an innovative navigation method that compensates for traditional image-based navigation, enhancing the capabilities of aerial robots. Inspired by the odor-source search behavior observed in biological organisms, we identified two key elements for improving odor so...

Objective: The objective of this study is to apply the Mask R-CNN model to detect and classify foliar diseases in soybean (Glycine max L.), assisting in the early diagnosis of powdery mildew, Asian soybean rust, and target spot. Theoretical Framework: It was based on concepts of deep learning, machine learning, and instance segmentation, using ResN...

Ground nesting birds are sensitive to habitat structure, so understanding this relationship is fundamental to managing habitat to maintain or enhance bird populations. We used an existing long‐term, large‐scale experiment with routine monitoring of meadow pipit territories to assess the capability of drone‐based remote sensing as a means of capturi...

Every structure undergoes a maintenance lifecycle, with increasing emphasis on structural health monitoring, defect diagnosis, and repair. As the demand for timely, effective, practical, and cost-efficient solutions grows, new techniques and processes are continually being developed. The traditionally paper-based methods of bridge inspection, defec...

Drone-based beam measurements are a promising avenue to tackle the critical challenge of calibration for 21 cm cosmology telescopes. In this paper, we introduce a new drone-based calibration system for 400-800 MHz radio observatories, describing its instrumentation and first deployment. We discuss measurements of the TONE array, a CHIME/FRB outrigg...

A significant challenge in the domain of anti‐drone warfare is the identification of enemies or own aircraft through the analysis of data broadcast by drones (e.g. ADS‐B). This issue can be conceptualized as an open set recognition (OSR) problem. This paper proposes a DV‐OSR‐QSED framework for the purpose of data visualization‐based OSR (DV‐OSR). P...

In recent years, the landscape of terrorism has been significantly transformed by the proliferation of advanced technologies. The rapid evolution of tools and techniques available to terrorist organizations poses new challenges for national and international security. This article explores how technology has been integrated into terrorist operation...

This study explores the application of deep learning-based artificial intelligence (AI) techniques for the acoustic health monitoring of quadrocopter propellers. Quadcopters are increasingly used in various industries, and the condition of their propellers is critical to ensuring safety and performance. Traditional methods of propeller health monit...

Objective: This study aims to investigate the impacts, challenges, and strategies related to the implementation of 5G technology in rural areas, with the goal of promoting sustainable development and digital inclusion. The research also seeks to identify specific benefits of 5G for the agricultural sector and evaluate how its adoption can transform...

To address the problem of single-mode vulnerability to complex environments, a multimode fusion network with mutual attention is proposed. This network combines the use of laser, infrared and millimeter wave modalities to leverage the advantages of each mode in different environments, increasing the network’s resilience to interference. The study b...

Access to below-canopy volumetric vegetation data is crucial for understanding ecosystem dynamics. We address the long-standing limitation of remote sensing to penetrate deep into dense canopy layers. LiDAR and radar are currently considered the primary options for measuring 3D vegetation structures, while cameras can only extract the reflectance a...