![]() Comput Electr Eng 74:184–195ĭ’Urso F, Santoro C, Santoro FF (2019) An integrated framework for the realistic simulation of multi-UAV applications. Springer, Cham, pp 155−183ĭ’Souza JM, Guruprasad KR, Padman A (2019) A realistic simulation platform for multi-quadcopter search using downward facing cameras. Ros-based approach for unmanned vehicles in civil applications. The AFC agent detects and identifies all the assigned objects with a recall score of 1.00, a precision score of 0.9563, an accuracy score of 0.9573, an F1 score of 0.9776, an efficiency score of 0.5239, a detection total time score of 225.5 s, and an identification total time of 275 s and outperforms a human operator.Īl-Kaff A, Moreno FM, Hussein A (2019). ![]() We conduct tests on the AFC agent, and the results show that the agent successfully controls the UAV in three performed test cases and a total of nine implemented missions. It captures the video images acquired from a solitary onboard, front-facing camera which are handled off-board on a computer. The agent implements several image handling algorithms to detect and identify objects from their colors and shapes. The AFC agent performs search and survey missions that entail commanding the UAV while performing object classifications and recognition tasks. We design the AFC agent architecture to consist of data acquisition, perception, localization, mapping, control, and planning modules. The specific problem of this research is the indoor environment because of the perplexing characteristics of the required flight mechanics. Consequently, this research addresses the general problem of designing an agent-based autonomous flight control (AFC) architecture of a UAV to facilitate autonomous routing/navigation in uncharted and unascertained environments of organized foyer surroundings. The objective of RISES (Role-based Information Management System for Emergency Services) is to link emergency response units, display relevant information based on roles and connect unmanned flight systems to a modern command and control system.One of the major challenges in designing an autonomous agent system is to achieve the objective of recreating human-like cognition by exploiting the growing pragmatic architectures that act intelligently and intuitively in vital fields. MAAM (Mission-based Availability Assessment for Multirotor UAVs) is a third party funded project with the aim to increase the safety of autonomous multirotor UAVs through modern PHM algorithms and intelligent monitoring systems. The applicability of this method is demonstrated on an unmanned aerial vehicle’s control surface actuation system. With the SiFliegeR project the FSR investigates how PHM can be leveraged to generate a dynamic and system specific safety analysis, based on the current system health status. The IMPETUS (Information Management Portal to Enable the inTegration of Unmanned Systems) focuses on the analysis of future information management requirements for the safe and efficient integration of unmanned systems into the lower airspace (below 150 meters). In ACoRUs (Active Fault-Tolerant Control for Redundant Unmanned Aerial Vehicles) novel schemes of Fault-tolerant Control (FTC) are developed to increase the operational safety of redundant Unmanned Aerial Vehicles (UAVs). ![]() The DACUS project (Demand And Capacity Optimisation in U-Space) aims at the development of a service-oriented Demand and Capacity Balancing (DCB) process for drone traffic management in urban environments. In the research project “SAMMIE”, a human-machine interface for traffic situation display and collision avoidance for a drone pilot is being researched.
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