Data Normalization Technique for Energy Efficient Drones: An Ensemble Learning Approach DOI
Kanika Sood, Peter Tran, Rakeshkumar Mahto

et al.

2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), Journal Year: 2022, Volume and Issue: unknown, P. 0411 - 0416

Published: Oct. 12, 2022

Frequent wildfires in the western part of United States are affecting local economy, flora and fauna, air quality, health community. Over years, various techniques have been utilized for early detection wildfires, that include satellites, lookout towers, drones. Among techniques, drones gaining popularity due to recent advancements drone technology, multi-role adaptability, lower cost operation. However, be effective during disaster management monitoring, endurance longevity drone's flight time essential. A transistor-embedded photovoltaics (PV) panel-powered can enable such essential qualities required drone. Such a power source requires an efficient algorithm switching configuration PV panel them different lighting operating conditions. Machine learning classification as Random Forest activating shown effectiveness detecting presence shade. with larger number properties training, supervised ML result increased memory usage and, some cases, accuracy. In this paper, we propose novel normalization technique reduce train machine model. After applying technique, We observed performance model 90.1 % shade module, along 7.535 reduction usage.

Language: Английский

Advancements and Applications of Drone-Integrated Geographic Information System Technology—A Review DOI Creative Commons
Md Muzakkir Quamar, Baqer Al-Ramadan, K. A. Khan

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(20), P. 5039 - 5039

Published: Oct. 20, 2023

Drones, also known as unmanned aerial vehicles (UAVs), have gained numerous applications due to their low cost, ease of use, vertical takeover and landing, ability operate in high-risk or hard-to-reach areas. The contribution this review is that building the bridge between drone technology its application advancements field Geographic Information System (GIS). integration drones GIS valuable it reduces costs improves accessibility for geospatial data collection. Traditional methods involving aircraft photography are expensive, requiring hiring aircraft, pilots, photographers. Drones equipped with advanced cameras artificial intelligence software can replace conventional technique at same time, be economical time-efficient. expected bring revolutionary benefits fields precision agriculture, urban planning, emergency health response, disaster management, development smart cities, food delivery, etc. In paper, a state-of-the-art deployment drone-integrated different presented. Numerous techniques associated challenges related development, formulation, implementation, regulation highlighted. It has been concluded drone-integration solutions improve efficiency accuracy, enhance decision-making process, facilitate better real-time monitoring. findings paper intended help benefit researchers, business developers, service providers, industrialists, policymakers.

Language: Английский

Citations

62
Drones for Flood Monitoring, Mapping and Detection: A Bibliometric Review DOI Creative Commons
Umair Iqbal, Muhammad Zain Bin Riaz, Jiahong Zhao

et al.

Drones, Journal Year: 2023, Volume and Issue: 7(1), P. 32 - 32

Published: Jan. 1, 2023

Floods are one of the most often occurring and damaging natural hazards. They impact society on a massive scale result in significant damages. To reduce floods, needs to keep benefiting from latest technological innovations. Drones equipped with sensors algorithms (e.g., computer vision deep learning) have emerged as potential platform which may be useful for flood monitoring, mapping detection activities more efficient way than current practice. better understand scope recent trends domain drones management, we performed detailed bibliometric analysis. The intent performing analysis waws highlight important research trends, co-occurrence relationships patterns inform new researchers this domain. was terms performance (i.e., publication statistics, citations top publishing countries, journals, institutions, publishers Web Science (WoS) categories) science by country, keyword co-occurrences, co-authorship, co-citations bibliographic coupling) total 569 records extracted WoS duration 2000–2022. VOSviewer open source tool has been used generating network maps. Subjective discussions results explain obtained In end, review 28 publications subjected process-driven context management. active areas were also identified future regard use activities.

Language: Английский

Citations

40
AI-Powered Drone to Address Smart City Security Issues DOI
Ramiz Salama, Fadi Al‐Turjman, Rosario Culmone

et al.

Lecture notes in networks and systems, Journal Year: 2023, Volume and Issue: unknown, P. 292 - 300

Published: Jan. 1, 2023

Language: Английский

Citations

23
Monitoring and Cordoning Wildfires with an Autonomous Swarm of Unmanned Aerial Vehicles DOI Creative Commons
Fabrice Saffre, Hanno Hildmann, Hannu Karvonen

et al.

Drones, Journal Year: 2022, Volume and Issue: 6(10), P. 301 - 301

Published: Oct. 14, 2022

Unmanned aerial vehicles, or drones, are already an integral part of the equipment used by firefighters to monitor wildfires. They are, however, still typically only as remotely operated, mobile sensing platforms under direct real-time control a human pilot. Meanwhile, substantial body literature exists that emphasises potential autonomous drone swarms in various situational awareness missions, including context environmental protection. In this paper, we present results systematic investigation means numerical methods i.e., Monte Carlo simulation. We report our insights into influence key parameters such fire propagation dynamics, surface area observation and swarm size over performance force operating without supervision. limit use drones perform passive operations with goal provide fighters on ground. Therefore, objective is defined being able locate, then establish continuous perimeter (cordon) around, simulated event live data feeds e.g., video infra-red. Special emphasis was put exclusively using simple, robust realistically implementable distributed decision functions capable supporting self-organisation pursuit collective goal. Our confirm presence strong nonlinear effects interaction between aforementioned parameters, which can be closely approximated empirical law. These findings could inform mobilisation adequate resources case-by-case basis, depending known mission characteristics acceptable odds (chances success).

Language: Английский

Citations

36
Harnessing Geospatial Tools to Map the Forest Fire: Risk Zonation in Pauri Garhwal, Uttarakhand DOI Creative Commons

Oishi Bhattacharya,

Suman Sinha, Varun Narayan Mishra

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103694 - 103694

Published: Dec. 1, 2024

Language: Английский

Citations

6
UAV Platforms for Data Acquisition and Intervention Practices in Forestry: Towards More Intelligent Applications DOI Creative Commons
Huihui Sun, Hao Yan, Mostafa Hassanalian

et al.

Aerospace, Journal Year: 2023, Volume and Issue: 10(3), P. 317 - 317

Published: March 22, 2023

Unmanned air vehicle (UAV) systems for performing forestry applications have expanded in recent decades and great economic benefits. They are validated to be more appealing than traditional platforms various aspects, such as repeat rate, spatial resolution, accuracy. This paper consolidates the state-of-the-art unmanned field with a major focus on UAV heterogeneous platforms, which applied variety of applications, wood production, tree quantification, disease control, wildfire management, wildlife conservation, species classification, etc. review also studies practical under multiple environments, including wild managed forests, grassland, urban green parks, stockyards. Special forest environments terrains present customized demands systems. The challenges deployment analyzed from environmental characterization, maneuverability mobility improvement, global regulatory interpretation. To better apply into forestry, future directions terms enhancement sensory adaption, need further developed synchronizing all possible agents automatic functioning exploration.

Language: Английский

Citations

12
CE-RetinaNet: A Channel Enhancement Method for Infrared Wildlife Detection in UAV Images DOI
yongle Zhang, Zhanchuan Cai

IEEE Transactions on Geoscience and Remote Sensing, Journal Year: 2023, Volume and Issue: 61, P. 1 - 12

Published: Jan. 1, 2023

Thermal infrared (TIR) technology is crucial for wildlife detection in unmanned aerial vehicles (UAVs), allowing executives to explore and detect at night. However, the images captured by TIR cameras are unavoidably affected various unexpected challenges such as image jitter, overlap, fog, which may drastically decrease ability. To overcome these challenges, we propose a high-accuracy object method called channel enhancement RetinaNet (CE-RetinaNet). Firstly, new (CE) module proposed strengthen feature extraction of images. Then, batch-norm stochastic attention (BSCA) filter occlusion-caused anomalous activations focus on pixel same position across channels. Next, path augmentation (PA) operation added after pyramid network (FPN) improve localization capability entire level. Finally, modified output strategy classification regression subnets. Additionally, built dataset Infrared Salient Object Detection (ISOD) comprising 2534 images, accessible website: https://doi.org/10.5281/zenodo.7445307. We conduct extensive experiments both public ISOD datasets, experimental results reveal that CE-RetinaNet obtains higher average precision (AP) (e.g., 11.3% more) Recall 11.6% compared other state-of-the-art detectors.

Language: Английский

Citations

12
Material Extrusion Additive Manufacturing of the Composite UAV Used for Search-and-Rescue Missions DOI Creative Commons
Sebastian Marian Zaharia,

Ionut Stelian Pascariu,

Lucia-Antoneta Chicoş

et al.

Drones, Journal Year: 2023, Volume and Issue: 7(10), P. 602 - 602

Published: Sept. 25, 2023

The additive processes used in the manufacture of components for unmanned aerial vehicles (UAVs), from composite filaments, have an important advantage compared to classical technologies. This study focused on three-dimensional design, preliminary aerodynamic analysis, fabrication and assembly thermoplastic extruded components, flight testing search-rescue performance UAV. UAV model was designed highest possible structural strength (the fuselage has a structure with stiffening frames wing is tri-spar), but also taking into account limitations extrusion process. From analysis model, it found that maximum lift coefficient 1.2 drag 0.06 were obtained at angle attack 12°. After conducting tests, can be stated manufactured by process, presented high stability maneuverability, wide range speeds good characteristics. lack this type aircraft, equipped electric motors, traffic management system, thermal module search-and-rescue missions, within manufacturing market, validates uniqueness innovation current paper.

Language: Английский

Citations

12
A Novel Drone Design Based on a Reconfigurable Unmanned Aerial Vehicle for Wildfire Management DOI Creative Commons

Dimitris Perikleous,

George Koustas,

Spyros Velanas

et al.

Drones, Journal Year: 2024, Volume and Issue: 8(5), P. 203 - 203

Published: May 16, 2024

Our study introduces a new approach, leveraging robotics technology and remote sensing for multifaceted applications in forest wildfire management. Presented this paper is PULSAR, an innovative UAV with reconfigurable capabilities, able of operating as quadcopter, co-axial standalone octocopter. Tailored to diverse operational requirements, PULSAR accommodates multiple payloads, showcasing its adaptability versatility. This meticulously details material selection design methods, encompassing both initial detailed design, while the electronics section seamlessly integrates essential avionic components. The 3D drone layout accomplished using SOLIDWORKS, enhances understanding by all three different configurations PULSAR’s structure. Serving dual purpose, highlights management, particularly mapping, edge computing, cartographic product generation, well detection tracking elements, illustrating how can be valuable tool. Following analysis applications, presents integration payloads onto UAV. Simultaneously, each distinct matched specific application, ensuring optimal performance efficiency. Lastly, computational validation UAV’s main components’ structural integrity achieved through finite element (FEA), affirming absence issues regarding stress displacement. In conclusion, research underscores efficacy marking significant leap forward applying science.

Language: Английский

Citations

4
Evaluating the Use of a Thermal Sensor to Detect Small Ground-Nesting Birds in Semi-Arid Environments during Winter DOI Creative Commons

J. Silverio Avila-Sanchez,

Humberto L. Perotto‐Baldivieso,

Lori D. Massey

et al.

Drones, Journal Year: 2024, Volume and Issue: 8(2), P. 64 - 64

Published: Feb. 15, 2024

Aerial wildlife surveys with fixed-wing airplanes and helicopters are used more often than on-the-ground field to cover areas that both extensive inaccessible. Drones high-resolution thermal sensors being widely accepted as research tools aid in monitoring species their habitats. Therefore, our goal was assess the feasibility of detecting northern bobwhite quail (Colinus virginianus, hereafter ‘bobwhite’) using drones a sensor. Our objectives were (1) identify altitudes at which bobwhites can be detected (2) compare two most color palettes detect (black-hot isotherm). We achieved this by performing drone flights different over caged tame capturing still images video recordings from 18 42 m. did not observe or any obvious signs distress, movement, fluttering inside cages caused noise presence during data acquisition. observed highest counts individual black-hot palette m (92%; x¯ = 47 bobwhites; SE 0.41) 24 (81%; 41 0.89). The isotherm had lower count proportions. use feasible due low resolution size. Flying provided reliable imagery roosting individuals South Texas winter.

Language: Английский

Citations

2