Gotowa bibliografia na temat „PX4 autopilote de drone”
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Artykuły w czasopismach na temat "PX4 autopilote de drone"
Lee, Don Goo. "PX4-ROS2 based Autonomous Drone System Development". Taegu Science University Defense Security Institute 5, nr 5 (30.10.2021): 1–8. http://dx.doi.org/10.37181/jscs.2021.5.5.001.
Pełny tekst źródłaYun, Heesun, i Daehee Jang. "Effective Memory Diversification in Legacy Systems". International journal of electrical and computer engineering systems 14, nr 3 (28.03.2023): 321–31. http://dx.doi.org/10.32985/ijeces.14.3.10.
Pełny tekst źródłaMugnai, Michael, Massimo Teppati Losé, Edwin Paúl Herrera-Alarcón, Gabriele Baris, Massimo Satler i Carlo Alberto Avizzano. "An Efficient Framework for Autonomous UAV Missions in Partially-Unknown GNSS-Denied Environments". Drones 7, nr 7 (18.07.2023): 471. http://dx.doi.org/10.3390/drones7070471.
Pełny tekst źródłada Silva, Yago M. R., Fabio A. A. Andrade, Lucas Sousa, Gabriel G. R. de Castro, João T. Dias, Guido Berger, José Lima i Milena F. Pinto. "Computer Vision Based Path Following for Autonomous Unammed Aerial Systems in Unburied Pipeline Onshore Inspection". Drones 6, nr 12 (14.12.2022): 410. http://dx.doi.org/10.3390/drones6120410.
Pełny tekst źródłaPrimatesta, Stefano, Abdalla Osman i Alessandro Rizzo. "MP-RRT#: a Model Predictive Sampling-based Motion Planning Algorithm for Unmanned Aircraft Systems". Journal of Intelligent & Robotic Systems 103, nr 4 (9.11.2021). http://dx.doi.org/10.1007/s10846-021-01501-3.
Pełny tekst źródłaJahan, Nusrat, Tawab Bin Maleque Niloy, Jannatul Fahima Silvi, Mahdi Hasan, Ishrat Jahan Nashia i Riasat Khan. "Development of an IoT-based firefighting drone for enhanced safety and efficiency in fire suppression". Measurement and Control, 14.04.2024. http://dx.doi.org/10.1177/00202940241238674.
Pełny tekst źródłaRozprawy doktorskie na temat "PX4 autopilote de drone"
Ben, Amor Slim. "Ordonnancement des tâches avec des dépendances et des temps d’exécution probabilistes sur processeur multi-cœurs". Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS188.
Pełny tekst źródłaThe continuous integration of new functionality increases the complexity of embedded systems, while each functionality might impose precedence constraints between the programs fulfilling it. In addition, the prevalence of several processors may create the illusion of higher computation capacity easing the associated scheduling problem. However, this capacity is not exploitable in critical real time systems because of the increased variability of the execution times due to processor features designed to provide excellent average time behavior and not necessarily ensuring small worst case bounds. This difficulty is added to the existence of scheduling anomalies when the systems are built a top of multi-core processors. In this thesis, we consider partitioned scheduling of DAG tasks defining precedence constraints. The variability of execution times is described by probability distributions. We propose a Response Time Analysis (RTA) based on iterative equations and probabilistic operators for independent distributions. For dependent distributions, we model them using Bayesian network. We also use C-space representation combined with SVM classification to estimate the schedulability probability. Moreover, we provide techniques to define priority and sub-task partitioning in a way to increase parallelism. We also decrease analysis complexity by reducing size of graph without altering the precedence structures
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.
Pełny tekst źródłaNtaryamira, Evariste. "Une méthode asynchrone généralisée préservant la qualité des données des systèmes temps réel embarqués : cas de l’autopilote PX4-RT". Electronic Thesis or Diss., Sorbonne université, 2021. https://theses.hal.science/tel-03789654.
Pełny tekst źródłaReal-time embedded systems, despite their limited resources, are evolving very quickly. For such systems, it is not enough to ensure that all jobs do not miss their deadlines, it is also mandatory to ensure the good quality of the data being transmitted from tasks to tasks. Speaking of the data quality constraints, they are expressed by the maintenance of a set of properties that a data sample must exhibit to be considered as relevant. It is mandatory to find trade-offs between the system scheduling constraints and those applied to the data. To ensure such properties, we consider the wait-free mechanism. The size of each communication buffer is based on the lifetime bound method. Access to the shared resources follows the single writer, many readers. To contain all the communication particularities brought by the uORB communication mechanism we modeled the interactions between the tasks by a bipartite graph that we called communication graph which is comprised of sets of so-called domain messages. To enhance the predictability of inter-task communication, we extend Liu and Layland model with the parameter communication state used to control writing/reading points.We considered two types of data constraints: data local constraints and data global constraints. To verify the data local constraints, we rely on the sub-sampling mechanism meant to verify data local constraints. Regarding the data global constraints, we introduced two new mechanism: the last reader tags mechanism and the scroll or overwrite mechanism. These 2 mechanisms are to some extent complementary. The first one works at the beginning of the spindle while the second one works at the end of the spindle
Części książek na temat "PX4 autopilote de drone"
Nguyen, Khoa Dang, Cheolkeun Ha i Jong Tai Jang. "Development of a New Hybrid Drone and Software-in-the-Loop Simulation Using PX4 Code". W Intelligent Computing Theories and Application, 84–93. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95930-6_9.
Pełny tekst źródłaStreszczenia konferencji na temat "PX4 autopilote de drone"
"From Words to Flight: Integrating OpenAI ChatGPT with PX4/Gazebo for Natural Language-Based Drone Control". W 2023 the 13th International Workshop on Computer Science and Engineering. WCSE, 2023. http://dx.doi.org/10.18178/wcse.2023.06.031.
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