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,...

In this paper, we propose an algorithm for pedestrian detection focusing on UAV applications. Our proposal is based a combination of Haar-LBP features with Adaboost the training process, and Meanshift improving performance detector. We mount dataset images captured from surveillance cameras. are evaluated compared other approaches literature.

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...

This paper deals with the problem of coverage path planning for multiple UAVs in disjoint regions. For this purpose, a spiral-coverage algorithm is proposed. Additionally, task assignment methods multi-region inspection swarm are applied. The centralized system architecture described, and an adaptive sliding mode controller designed. Furthermore, we evaluate performance proposed techniques by obtaining numerical results simulations controller. show that spiral pattern optimizes cost mission...

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...

Abstract This paper presents the development and implementation of a multiple unmanned aerial vehicle system focused on coverage path planning separated areas capable re‐planning collective mission in case unexpected events. For this purpose, we present distributed‐centralized architecture that uses heuristic computationally efficient methods to perform planning/re‐planning decision‐making tasks during control execution. We performed computational evaluation algorithms, comparing them with...

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 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...

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...

Recently, various research has been developed addressing communication sensors for Unmanned Aerial Systems (UASs); especially when pondering control difficulties, is a crucial component. To this end, strengthening algorithm with redundant linking ensures the overall system works accurately even if some components fail. This paper proposes novel approach to integrate several and actuators heavy Vehicle (UAV). Additionally, cutting-edge Robust Thrust Vectoring Control (RTVC) technique designed...

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,...

One of the most relevant problems related to Unmanned Aerial Vehicle's (UAV) autonomous navigation for industrial inspection is localization or pose estimation relative significant elements environment. This paper analyzes two different approaches in this regard, focusing on its application unstructured scenarios where objects considerable size are present, such as a truck, wind tower, an airplane, building, etc. The presented methods require previously developed Computer-Aided Design (CAD)...

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<p>En este artículo se presenta el desarrollo de un robot anfibio con una dinámica movimiento bioinspirada en la locomoción salamandra (Cryptobranchidae). El es teleoperado mediante aplicación para dispositivos móviles (Smartphones, tablets, etc.). Se propone estructura que permita al llevar a cabo dos acciones: caminar y nadar. Los movimientos real han estimado basándose cámara cenital ha diseñado algoritmo control replique esos movimientos. desempeño del evaluado utilizando como...

This paper presents the development and implementation of a multi-UAV system focused on coverage path planning multiple separated areas capable re-planning collective mission in case unexpected events. For this purpose, we present distributed-centralized architecture that uses heuristic computationally efficient methods to perform planning/re-planning decision-making tasks during control execution. We performed computational evaluation algorithms, comparing them with other proposals,...

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

This paper proposes a dataset and algorithms for pedestrian detection in UAVs. The method proposed is HAARLBP based cascade classifier combined with saliency maps improving the performance of detector. In addition we introduce images from surveillance cameras at different angles altitudes emulating UAV. We validate our by implementation HOG algorithm compared it other approaches literature. results show that HAAR-LBP has better than HAAR like features; using UAVs use improves classifiers.