This paper deals with the problems and solutions of fast coverage path planning (CPP) for multiple UAVs. Through this research, problem is solved analyzed both a software framework algorithm. The implemented algorithm generates back-and-forth based on onboard sensor footprint. In addition, three methods are proposed individual assignment: simple bin packing trajectory planner (SIMPLE-BINPAT); (BINPAT); Powell optimized (POWELL-BINPAT). use heuristic algorithms, linear sum assignment,...

This paper explores the integration of UAV-based hyperspectral imaging and advanced AI algorithms for soil texture mapping stress detection in agricultural settings. The primary focus lies on leveraging multi-modal sensor data, including imaging, thermal gamma-ray spectroscopy, to enable precise monitoring abiotic biotic stressors crops. An innovative algorithm combining vegetation indices, path planning, machine learning methods is introduced enhance efficiency data collection analysis....

Forest fires are among the most dangerous accidents, as they lead to repercussions of climate change by reducing oxygen levels and increasing carbon dioxide levels. These risks led attention many institutions worldwide, notably European Union Parliament, which emergence directives regulations aimed at controlling phenomenon forest in Europe, such (E.U.) 2019/570. Among proposed solutions, usage unmanned aerial vehicles (UAVs) is considered operate alongside existing aircraft helicopters...

Unmanned Aerial Vehicles (UAVs) have garnered significant attention among researchers due to their versatility in diverse missions and resilience challenging conditions. However, electric UAVs often suffer from limited flight autonomy, necessitating the exploration of alternative power sources such as thermal engines. On other hand, managing engines introduces complexities internal uncertainties into system. In this paper, an Adaptive Robust attitude controller (ARAC) is proposed address...

Unmanned aerial vehicles (UAVs) have drawn significant attention from researchers over the last decade due to their wide range of possible uses. Carrying massive payloads concurrent with light UAVs has broadened aeronautics context, which is feasible using powerful engines; however, it faces several practical control dilemmas. This paper introduces a medium-scale hexacopter, called Fan Hopper, alimenting Electric Ducted (EDF) engines investigate optimum possibilities for fully autonomous...

Unmanned aerial vehicles (UAVs) have drawin increasing attention in recent years, and they are widely applied. Nevertheless, generally limited by poor flight endurance because of the energy density their batteries. A robust power supply is indispensable for advanced UAVs; thus hybrid might be a promising solution. State charge (SOC) estimation essential systems UAVs. The limitations accurate SOC can partly ascribed to inaccuracy open circuit voltage (OCV), which obtained through specific...

Unmanned aerial vehicles (UAVs) nowadays are getting soaring importance in many aspects like agricultural and military fields. A hybrid power system is a promising solution toward high energy density demands for UAVs as it integrates sources internal combustion engine (ICE), fuel cell (FC) lowcapacity lithium-polymer (LIPO) batteries. For robust management, accurate state-of-charge (SOC) estimation indispensable, which necessitates open circuit voltage (OCV) determination parameter...

This paper proposes the design of communications, control systems, and navigation algorithms a multi-UAV system focused on remote sensing operations. A new controller based compensator nominal is designed to dynamically regulate UAVs' attitude. The addresses multi-region coverage trajectory planning task using approach solve TSP-CPP problem. were tested theoretically, combination proposed techniques strategy was simulated through Matlab SimScape platform optimize controller's parameters over...

In recent years, technical advancement and robotic technologies highlight the way for Unmanned Aerial Vehicles (UAVs) researchers to enlarge increase their capabilities so that many can act as autonomous systems on own. For this reason, UAV swarming has caught attention of several researchers. This paper proposes a hybrid swarm control architecture focused centralized node deal with an optimal allocation task problem within firefighting application scenarios. Furthermore, we will apply...

Systematic hybrid-electric unmanned aerial vehicles (UAVs) and, especially, quadcopters are so promising due to their long flight endurance and usage in patrol rescue missions which gain a high interest be under examination test scope by researchers; however, complete mathematical design is required fulfill theoretical complexities such as aerodynamic analysis dynamics models related. This paper investigates salient sections from hypothesis implementation. Researchers at Drone Hopper company...

In Europe, fire represents an important issue for a lot of researchers due to economic losses, environmental disasters, and human death. the last decade, European parliament sheds light upon this problem by dealing with community project” Forest Focus”. Thus, scientific research departments companies begin work on solving creating different techniques deal such problem, these centers found that most attractive accurate way was using Unmanned Aerial Vehicle (UAV). paper, center at Drone...

Unmanned Aerial Vehicles (UAVs) is a special case of the ad-hoc network, as it categorized from Flying network (FANET), which subcategory network. The massive widely used applications for UAVs through variety missions leads researchers to deep enhancing such systems by equipping different technologies and techniques UAVs. Adding swarming facilities was our research interest in Drone Hopper center, gain accurate powerful usage swarm drones be firefighting agriculture. In this paper,...

Unmanned aerial vehicles (UAVs) are drawing more and attentions recent years widely applied. Nevertheless, it is generally challenged by short time of duration because the lack energy density for battery. A robust power supply indispensable advanced UAVs thus hybrid-power might be a promising solution. State charge (SOC) estimation essential system UAVs. While, accurate SOC always partly ascribed to open circuit voltage identification. Considering actual working condition battery under...

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This paper explores the application of sliding mode control (SMC) as a robust security enhancement strategy for unmanned aerial vehicle (UAV) systems. The study proposes integrating advanced SMC techniques with protocols to develop dual-purpose system that improves UAV and fortifies against adversarial actions. includes dynamic reconfiguration capabilities within framework, allowing adaptive responses threats by adjusting laws operational parameters. is complemented anomaly detection...

Systemic integrated Unmanned Aerial System (UAS), is the process of gathering subsystems into one fulfilled system. This integration done in order to improve system performance, reducing operational costs, and improving time response Normally, such systems are using different techniques as communication processes, computer networking. In this paper, a new implemented by linking functionally computing software applications together powerful

Unmanned aerial vehicles (UAV) are autonomous systems with embedded intelligence. Despite the numerous advantages they bring, multiple problems have been arisen in past, like collision detection and avoidance of aircrafts. The recent advances on-board sensors computation devices allowed complete ground-breaking improvements, present forthcoming navigation UAVs. These now fostering implantation next generation aircrafts, a growing potential important sectors precision agriculture. Industries...