Academic literature on the topic 'ArduPilot'

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Journal articles on the topic "ArduPilot"

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Li, Peng, Di Liu, Xin Xia, and Simone Baldi. "ADArduPilot: an ArduPilot compatible adaptive autopilot⋆." IFAC-PapersOnLine 56, no. 2 (2023): 8097–104. http://dx.doi.org/10.1016/j.ifacol.2023.10.964.

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Naman, Garg, Pandey Nikita, Gupta Om, Sharma Uday, Asim Husain Agha, and Kumar Navneet. "Embedded System based Quadcopter using Ardupilot." International Journal of Innovative Science and Research Technology 7, no. 5 (2022): 1570–73. https://doi.org/10.5281/zenodo.6787396.

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The main aim of our project is to build a fully autonomous Drone that is capable of transporting boxes of a particular weight and size from one place to another. Our project focuses on reducing human efforts for controlling an Unmanned Aerial Vehicle(UAV).We have first developed and deployed our application in a simulator and then we made the Hardware which fulfils our Requirements, this is to make the most efficient use of our development time and effort.We have developed certain python algorithms which can control the whole drone and accurately processing location of the box to grab it accur
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Kikutis, Ramūnas, and Darius Rudinskas. "ERROR ANALYSIS OF INS ARRANGED IN ARDUPILOT MEGA / „ARDUPILOT MEGA“ AUTOPILOTO INERCINIO NAVIGACIJOS ĮRENGINIO PAKLAIDŲ ANALIZĖ." Mokslas - Lietuvos ateitis 4, no. 4 (2012): 408–13. http://dx.doi.org/10.3846/mla.2012.66.

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Inertial navigation systems (INS) are widely used for controlling piloted or unmanned aerial vehicles (UAV). Automatic control equipment with INS has error budget making a huge impact on the accuracy of UAV navigation. The paper analyzes INS errors and types of errors. Experiments have been done using small UAV. Santrauka Inerciniai navigacijos įrenginiai (INS) plačiai naudojami pilotuojamuose ir nepilotuojamuose orlaiviuose. Nepilotuojamo orlaivio skrydžio tikslumui didelę įtaką turi orlaivio automatinio valdymo sistemos įrenginių paklaidos. Tyrime nagrinėjamas nepilotuojamas orlaivis, kurio
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Nguyen, Quang Anh, Emmanuel Grolleau, and Hieu Khanh Ngo. "Results and comparision between different control algorithms for a quadrotor using ArduPilot framework." Science and Technology Development Journal 18, no. 4 (2015): 170–78. http://dx.doi.org/10.32508/stdj.v18i4.1003.

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Determining the most suitable control algorithm for a system is not an easy task. In theory, each controller has its own advantages and disadvantages comparing to the others. However, in the real world, the behavior of the controller also depends on many other factors such as the calculating ability of the control board, the accuracy of the sensors, the way the hardware communicate with the others, etc. In order to find the pros and cons of each control algorithm in the real world, each of them has to be tested and then comparing their results. This article presents a simple way to test the be
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Anto, Adhy Febry, and Totok Sukardiyono. "Prototype Autonomous Rover Pembersih Sampah Pantai menggunakan ArduPilot." Elinvo (Electronics, Informatics, and Vocational Education) 4, no. 2 (2019): 202–9. http://dx.doi.org/10.21831/elinvo.v4i2.28793.

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Indonesia has the second longest coastline in the world. On the other hand, Indonesia is the second largest contributor to marine waste in the world. Coastal cleanliness needs to be maintained so that it becomes an attraction for tourism and to protect the marine ecosystem. This article describes the results of testing devices that can be used to clean beaches. Research carried out by the development method. An autonomous beach garbage cleaning rover is a beach trash sweeper robot equipped with GPS, compass, telemetry, ArduPilot as a navigation and communication system when the robot operates.
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Pita, Javier Losada, and Félix Orjales Saavedra. "UAV Trajectory Management: Ardupilot Based Trajectory Management System." Proceedings 21, no. 1 (2019): 8. http://dx.doi.org/10.3390/proceedings2019021008.

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In this paper we explain the structure and development of a trajectory management system on board a UAV capable to achieve complex trajectories and versatile to adapt disturbances during flight. This system is built in Python and runs in a companion computer on board the UAV while maintains communication with a ground station over a radio link.
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Myasishchev, A. A., V. V. Ovcharukк, and E. S. Lenkov. "DESIGN OF AIRCRAFT UAV BASED ON FIRMWARE ARDUPILOT." Collection of scientific works of the Military Institute of Kyiv National Taras Shevchenko University, no. 72 (2021): 32–41. http://dx.doi.org/10.17721/2519-481x/2021/72-05.

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The paper considers the construction of a budget (no more than $ 150) aircraft-type UAV, which is able to perform the following flight modes: holding altitude and position, automatic return to the take-off point on command from the control panel or loss of communication with it, automatic flight along a given trajectory. During flight tests, the high aerodynamic qualities of the C-1 CHASER flying wing model were noted compared to models that were made from foam on their own. So, the flight time increased by ~ 25%, the speed by ~ 30% with the same flight weight and power consumption from the ba
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Humennyi, Andrіi, Pavlo Malashta, Serhii Oliynick, Oleksandr Pidlisnyi та Vitalii Aleinikov. "Розробка на Lua програмного модуля для визначення точки скидання некерованого вантажу з БПЛА літакового типу із системою керування Ardupilot". Aerospace Technic and Technology, № 6 (21 листопада 2024): 4–14. https://doi.org/10.32620/aktt.2024.6.01.

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Cargo delivery is one of the most popular areas of application of aircraft-type UAVs with the Ardupilot control system. Autonomous missions performed by such UAVs are associated with the need to determine the point of discharge of unguided cargo, which significantly affects the accuracy of its delivery. However, Ardupilot is not equipped with a software module for determining the point of discharge of unguided cargo, and such additional software is recommended to be developed in Lua. Known software modules for determining the point of discharge of UAVs, as a rule, perform a cyclic solution of
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Rachmawati, Putri, and Muhammad Haydar Asyam. "Sistem Kontrol Pesawat Tanpa Awak Untuk Menentukan Waypoint Berbasis Ardupilot." Quantum Teknika : Jurnal Teknik Mesin Terapan 2, no. 2 (2021): 80–86. http://dx.doi.org/10.18196/jqt.v2i2.11490.

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An unmanned Aerial Vehicle (UAV) is a type of unmanned aerial vehicle which is controlled by a remote system. This type of aircraft is usually controlled by remote control from outside the plane and can also move automatically based on a program that has been programmed on the computer system. In this study, a control system with autopilot and remote control is used. This study aims to apply the ardupilot system to the super heavy model aircraft with a long-range flight mode control system using the Futaba T8J (8 channel) radio control. The results of this study took a flight time of 15.02 min
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Bin, He. "The design of an unmanned aerial vehicle based on the ArduPilot." Indian Journal of Science and Technology 2, no. 4 (2009): 1–4. http://dx.doi.org/10.17485/ijst/2009/v2i4.4.

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Dissertations / Theses on the topic "ArduPilot"

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Barros, José de Sousa. "Uma ferramenta para avaliar estratégias de voos de VANTs usando cossimulação." Universidade Federal da Paraíba, 2017. http://tede.biblioteca.ufpb.br:8080/handle/tede/9038.

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Submitted by Maike Costa (maiksebas@gmail.com) on 2017-07-03T12:25:38Z No. of bitstreams: 1 arquivototal.pdf: 3177649 bytes, checksum: b09cbb264ec1b770f1aa0bb04cc0fb8f (MD5)<br>Made available in DSpace on 2017-07-03T12:25:39Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 3177649 bytes, checksum: b09cbb264ec1b770f1aa0bb04cc0fb8f (MD5) Previous issue date: 2017-04-04<br>Systems using Unmanned Aerial Vehicles (UAV) are typical examples of cyber-physical systems. Designing such systems is not a trivial task because it brings the challenge of dealing with the uncertainty that is inherent to
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Zenesini, Luca. "ArduNeT++: Sviluppo di un simulatore multi-drone e validazione mediante studio di un caso d'uso critico." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.

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Il tentativo di combinare campi di ricerca nell’ambito networking e dei sistemi di controllo ha da sempre portato interessanti innovazioni. Diverse soluzioni in ambito simulativo sono state proposte al riguardo, alcune di esse si focalizzano esclusivamente sul controllo di veicoli, altre invece si concentrano solamente sulle comunicazioni di rete, altre ancora fondono i due aspetti. In questa tesi viene proposto un applicativo software capace di simulare le dinamiche di volo di uno sciame di veicoli aerei senza pilota/Unmanned Aerial Vehicles (UAVs) e, nel contempo, di gestirne il coordinament
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Nahum, Jonathan. "Simulador de aeronaves no tripuladas: estudio de integración y ensayo en vuelo con el sistema de piloto automático "Ardupilot "." Bachelor's thesis, Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales, 2016. http://hdl.handle.net/11086/4958.

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Trabajo Final (IA)--FCEFN-UNC, 2016<br>Presenta la implementación de una plataforma de simulación de vuelo y operación de aeronaves no tripuladas, tanto como para realizar la planificación de una misión específica y ejecutarla, como así también para entrenar a los operadores en el pilotaje manual de la aeronave.
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Hamáček, Vojtěch. "Vývoj bezpilotního prostředku pro autonomní mise." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442528.

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The aim of this thesis is to modify commercially produced drone DJI Matrice 100 and replace its original control unit by open source Pixhawk and its accessories. Subsequently, it deals with the selection of suitable open source firmware for Pixhawk and its configuration on the device. Another part is dedicated to the possibilities of using the Robotic Operating System (ROS) and its Mavros libraries on the onboard computer Raspberry Pi. By using Mavros, it examines the possibilities of drone flight control, both in the simulation environment and in the real environment.
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Kini, Akshatha Jagannath. "Implementation of a Trusted I/O Processor on a Nascent SoC-FPGA Based Flight Controller for Unmanned Aerial Systems." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/82666.

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Unmanned Aerial Systems (UAS) are aircraft without a human pilot on board. They are comprised of a ground-based autonomous or human operated control system, an unmanned aerial vehicle (UAV) and a communication, command and control (C3) link between the two systems. UAS are widely used in military warfare, wildfire mapping, aerial photography, etc primarily to collect and process large amounts of data. While they are highly efficient in data collection and processing, they are susceptible to software espionage and data manipulation. This research aims to provide a novel solution to enhance the
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Rossetti, Gianluca. "Studio e implementazione di un autopilota su un UAV ad ala fissa." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/6952/.

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Si riporta inizialmente un’analisi tecnica dell’autopilota Ardupilot, utilizzato con il firmware Arduplane, che predispone la scheda all’utilizzo specifico su velivoli senza pilota ad ala fissa. La parte sostanziale della tesi riguarda invece lo studio delle leggi di controllo implementate su Arduplane e la loro modellazione, assieme ad altre parti del codice, in ambiente Matlab Simulink. Il sistema di controllo creato, chiamato Attitude Flight System, viene verificato con la tecnica del Software In the Loop in un simulatore di volo virtuale modellato anch’esso in Simulink, si utilizza la dina
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Marchini, Brian Decimo. "Adaptive Control Techniques for Transition-to-Hover Flight of Fixed-Wing UAVs." DigitalCommons@CalPoly, 2013. https://digitalcommons.calpoly.edu/theses/1108.

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Fixed-wing unmanned aerial vehicles (UAVs) with the ability to hover combine the speed and endurance of traditional fixed-wing fight with the stable hovering and vertical takeoff and landing (VTOL) capabilities of helicopters and quadrotors. This combination of abilities can provide strategic advantages for UAV operators, especially when operating in urban environments where the airspace may be crowded with obstacles. Traditionally, fixed-wing UAVs with hovering capabilities had to be custom designed for specific payloads and missions, often requiring custom autopilots and unconventional airfr
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Offermann, Alexis. "Conception et validation d’un robot apte à effectuer des mesures sur ouvrage d’art." Thesis, Compiègne, 2021. http://www.theses.fr/2021COMP2603.

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Cette thèse s’inscrit dans le domaine de la robotique pour l’analyse de la pathologie des structures pour le bâtiment et travaux publics. La réalisation de relevés photographiques est d’ores et déjà une technique largement utilisée pour faciliter le diagnostic des ouvrages. On cherche dans cette thèse à développer davantage la technique de relevé en permettant de faire un diagnostic au contact de la structure des ouvrages (allant d’un pont à une église en passant par les hôpitaux et écoles). La présentation de différentes solutions technologiques sera faite et permettra de faire un choix d’inn
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Bistricky, Peter. "Návrh a konstrukce quadrokoptéry." Master's thesis, 2013. http://www.nusl.cz/ntk/nusl-168852.

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Lee, Yu-Tsz, and 李育慈. "The Development of Inertial Navigation System on ArduPilot based Autopilot System." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/5qzx22.

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碩士<br>國立虎尾科技大學<br>自動化工程研究所<br>103<br>The Global Positioning System(GPS) is now commonly used for vehicle’s navigation, but GPS signal would possibly be affected by environment such as mountains, trees, high buildings or even tunnel. When GPS signal lost, there is a need that autonomous vehicle have to has a backup system for navigation. This research is aiming to create a Inertial Navigation System(INS) combine with Kalman Filter for navigation on unmanned vehicle’s autopilot system. Sensors of INS include accelerometer and e-compass. Regarding basic Newton’s law of motion, vehicle’s speed and
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Books on the topic "ArduPilot"

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Advanced Robotic Vehicles Programming: An Ardupilot and Pixhawk Approach. Apress, 2020.

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Book chapters on the topic "ArduPilot"

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Mendoza-Mendoza, Julio Alberto, Victor Gonzalez-Villela, Gabriel Sepulveda-Cervantes, Mauricio Mendez-Martinez, and Humberto Sossa-Azuela. "ArduPilot Working Environment." In Advanced Robotic Vehicles Programming. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5531-5_2.

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Luo, Zongtong, Xianbo Xiang, and Qin Zhang. "Autopilot System of Remotely Operated Vehicle Based on Ardupilot." In Intelligent Robotics and Applications. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27535-8_19.

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Свид, І., та І. Ігнатюк. "ОСОБЛИВОСТІ РОЗРОБКИ ПРИСТРОЇВ НА БАЗІ КОНТРОЛЕРІВ ARDUPILOT СІМЕЙСТВА APM". У Радіоелектроніка та молодь у XXI столітті. Т. 3 : Конференція "Інформаційні радіотехнології та технічний захист інформації". Press of the Kharkiv National University of Radioelectronics, 2024. http://dx.doi.org/10.30837/iyf.irttpi.2024.592.

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Vyhovskyi, Serhii. "MODELS AND METHODS OF MODERN TECHNICAL AND SOFTWARE SOLUTIONS FOR UAV CONTROL." In Science, technology and innovation in the context of global transformation. Publishing House “Baltija Publishing”, 2024. https://doi.org/10.30525/978-9934-26-499-3-6.

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The rapid development of unmanned aerial vehicles (UAVs) poses new challenges to engineers and developers of control systems. UAVs have found wide application in various fields, including agriculture, logistics, environmental monitoring, search and rescue operations, and military needs. The effectiveness of these systems largely depends on the combination of hardware and software solutions that ensure accurate positioning, autonomy, flight stability and safe performance of tasks. The article focuses on the key technical components, such as flight controllers, sensors and communication systems,
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Dyriavko, Oleh. "MODELS AND SOFTWARE TOOLS FOR FORECASTING AND MANAGING FINANCIAL RISKS." In Science, technology and innovation in the context of global transformation. Publishing House “Baltija Publishing”, 2024. https://doi.org/10.30525/978-9934-26-499-3-8.

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The section presents modern models and software tools for analysis, forecasting and management of financial risks. Mathematical approaches such as regression analysis, time series models (ARIMA, GARCH), scenario analysis, stress testing and portfolio optimization using the Markowitz model are considered. Special attention is paid to machine learning methods, including Random Forest, Gradient Boosting and neural networks, which provide high accuracy of forecasts and detection of hidden dependencies in data. The use of modular and microservice architectures is proposed for the development of sys
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Conference papers on the topic "ArduPilot"

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Li, David, and Houbing Herbert Song. "GPS Spoofing on UAV Simulation using Ardupilot." In 2025 International Wireless Communications and Mobile Computing (IWCMC). IEEE, 2025. https://doi.org/10.1109/iwcmc65282.2025.11059556.

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Al Khawaldah, Mohammad, Omar Daoud, Saqer S. Alja'afreh, and Aser M. Matarneh. "GPT Voice-Driven Natural Language Control for ArduPilot-Guided UAVs." In 2025 IEEE 22nd International Multi-Conference on Systems, Signals & Devices (SSD). IEEE, 2025. https://doi.org/10.1109/ssd64182.2025.10990012.

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Fornasier, Alessandro, Yixiao Ge, Pieter van Goor, et al. "An Equivariant Approach to Robust State Estimation for the ArduPilot Autopilot System." In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10611108.

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Rieger, Christian, Paula Zimmermann, and Mirko Hornung. "Automated Calculation of Aerodynamic Coefficients for sUAV Using Ardupilot Logging Data and Inexpensive Sensors." In Vertical Flight Society 80th Annual Forum & Technology Display. The Vertical Flight Society, 2024. http://dx.doi.org/10.4050/f-0080-2024-1046.

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Manual analysis of the aerodynamic behavior of small unmanned aircraft is a lengthy and repetitive task. This paper shows the current state of an automated flight analysis tool that calculates the aerodynamic coefficients of small unmanned aerial vehicles. It covers the tool's workflow, shows the current quality of the data processing, and lessons learned. It compares the results of different aircraft types, including standard electric motor and glider aircraft, and shows specifically designed and tested flight patterns. The results of the tool are compared to manually computed data from the g
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Sun, Danping, Peng Li, Xin Xia, Di Liu, and Simone Baldi. "MRS ArduPilot: An Adaptive ArduPilot Architecture Based on Model Reference Stabilization." In 2024 IEEE Intelligent Vehicle Symposium (IV). IEEE, 2024. http://dx.doi.org/10.1109/iv55156.2024.10588730.

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Gupta, Shobhit, Satya Kiran Patnala, Warish W, et al. "GPS Spoof and Detect in Ardupilot Simulating UAVs." In 2023 OITS International Conference on Information Technology (OCIT). IEEE, 2023. http://dx.doi.org/10.1109/ocit59427.2023.10430778.

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Allouch, Azza, Omar Cheikhrouhou, Anis Koubaa, Mohamed Khalgui, and Tarek Abbes. "MAVSec: Securing the MAVLink Protocol for Ardupilot/PX4 Unmanned Aerial Systems." In 2019 15th International Wireless Communications and Mobile Computing Conference (IWCMC). IEEE, 2019. http://dx.doi.org/10.1109/iwcmc.2019.8766667.

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Li, Peng, Di Liu, Xin Xia, and Simone Baldi. "Embedding Adaptive Features in the ArduPilot Control Architecture for Unmanned Aerial Vehicles." In 2022 IEEE 61st Conference on Decision and Control (CDC). IEEE, 2022. http://dx.doi.org/10.1109/cdc51059.2022.9993292.

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Staroletov, Sergey. "Work-in-Progress Abstract: Revealing and Analyzing Architectural Models in Open-source ArduPilot." In 2021 IEEE 27th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA). IEEE, 2021. http://dx.doi.org/10.1109/rtcsa52859.2021.00034.

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BUICAN, George Răzvan, Sebastian-Marian ZAHARIA, onut Stelian PASCARIU, et al. "MISSION MANAGEMENT FOR AN AUTOMATED PILOT SYSTEM MOUNTED ON A FIXED-WING TWIN-ENGINE AIRPLANE UAV." In SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE. Publishing House of "Henri Coanda" Air Force Academy, 2022. http://dx.doi.org/10.19062/2247-3173.2022.23.24.

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UAV systems used automated pilots which can be configured based on the mission. The entry level market for this type of systems is not focus mainly on fixed-wing configurations. On this paper we asses, develop and simulate missions for an automated piloting system, built on a Cube Orange architecture. The flight controller is mounted on a fixed-wing twin-engine airplane built using additive manufacturing technologies. For the management and simulation of UAV mission we use Mission Planner, and open-source software from ArduPilot. The missions is simulated to obtain an improvement of the automa
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