This paper presents a new approach to path planning for unmanned aerial manipulator systems (UAMs) using Sampling-Based Methods and Random Geometric Models (RGM) to efficiently search the configuration space for feasi...
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Operating unmanned aerial vehicles (UAVs) in complex environments can be challenging, particularly for inexperienced operators. This paper introduces a method aimed at enhancing the piloting experience by incorporatin...
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ISBN:
(纸本)9798350357899;9798350357882
Operating unmanned aerial vehicles (UAVs) in complex environments can be challenging, particularly for inexperienced operators. This paper introduces a method aimed at enhancing the piloting experience by incorporating an intermediary processing layer between the remote controller and the drone. The presented approach empowers operators to control both the speed and direction of the UAV along a secure path, which is continuously computed and overlaid onto the operator's camera stream. The UAV autonomously plans and executes this path, adapting to the operator's commands and environmental changes. The primary aim of this proposed solution is to enhance the operator's situational awareness, perception, as well as the safety and efficiency of UAV navigation. The paper outlines the system and methodology employed, showing its ability to operate at a high enough frequency to enable seamless user interactions. Furthermore, to validate the effectiveness of this approach, a real-world test and a user-based experimental study conducted in a simulation environment with an audience comprising varying levels of pilot expertise have been carried out.
Inspection automation of industrial infrastructure and surveillance became an integrated part of the new industrial environments in the age of the fourth industrial revolution and digital transformation;thus, the need...
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ISBN:
(纸本)9798350358810;9798350358803
Inspection automation of industrial infrastructure and surveillance became an integrated part of the new industrial environments in the age of the fourth industrial revolution and digital transformation;thus, the need to remove manual labor from such processes to improve efficiency and reduce costs became necessary. Recent advances in sensor technology, edge devices, and unmanned aerial vehicle (UAV) controlsystems have made it possible to develop systems with such capabilities using off-the-shelf components and integrated platforms. This research work aims to identify and develop a navigation stack for localization and navigation in the absence of global positioning system (GPS) signals. Furthermore, industrial environments are frequently complex in terms of navigation space;thus, such systems must have a high precision rate for pose estimation. Tanks and pipes for storage and transport, which require inspections for safety and are usually costly and risky, are also common in an industrial environment. As a result, UAVs can offer a safe and profitable alternative solution in addition to precision and speed. A working prototype is developed for a navigation system that enables autonomous navigation for a UAV in a simulated industrial environment using a local path planning module with estimated pose data from a localization module using visual odometry sensor data. The results show an average error rate of 10-30 cm, which is promising for navigation within complex spaces with a range of 1.5-8.5 m. The developed stack can serve as the foundation for future development to improve pose estimation precision and performance while also increasing the stability of the local path planning algorithm. Furthermore, the developed system represents a one-way communication channel between the localization module and the local path planning module. However, bi-directional communication to provide feedback from the local path planning module to the localization module can improve
Vehicle-in-the-loop simulation is an extension of the well-known hardware-in-the-loop technique, where a vehicle moves in real space while a simulator generates input for on-board sensors real-time. VIL frameworks des...
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ISBN:
(纸本)9798350310375
Vehicle-in-the-loop simulation is an extension of the well-known hardware-in-the-loop technique, where a vehicle moves in real space while a simulator generates input for on-board sensors real-time. VIL frameworks designed for unmanned aerial vehicles have many open challenges. This paper introduces an indoor VIL for micro aerial vehicles in a drone arena equipped with precise positioning system and reliable wireless communication. This indoor setup stands as a prototype and predecessor for other outdoor VIL simulators for large scale applications. The raw optical navigation performance is tested which is the building block for sensor fusion and on-board fast sensor consistency check. A use-case of a companion drone in cooperative navigation is also presented.
In this paper we developed and presented a codebase for the software that is capable to support unmanned aircraft systems flight control and navigation, particularly in dynamically changing weather conditions. The foc...
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Autonomy in the operation of collectives of unmanned Aerial Vehicles for the execution of complex applications and missions including monitoring, surveillance, delivery of essential and critical supplies, communicatio...
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The aerial child and mother UAV systems can effectively improve the operational range and task flexibility of UAV systems, and their recovery method is of great significance for the cooperative operation between the c...
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The aerial child and mother UAV systems can effectively improve the operational range and task flexibility of UAV systems, and their recovery method is of great significance for the cooperative operation between the child and mother UAVs. In this paper, a separated lift and thrust vertical takeoff and landing mother UAV and a multi-rotor child UAV are proposed for the child-mother UAV systems. The solutions are proposed for the navigation and control problem of the recovery mission. The recovery mission is divided into an approaching stage, and a landing stage, using GPS and visual positioning to provide navigation information for the child UAV, respectively. In addition, the proposed multi-level visual marker effectively avoids the loss of navigation information during the landing process. Moreover, the recovery control problem of the child UAV is transformed into a position tracking problem, and the designed controller effectively ensures the accurate recovery of the child UAV. Finally, the proposed child-mother UAV systems are tested in a simulated environment (Gazebo) and verified that the proposed navigation and control method can effectively perform the recovery mission of the child UAV in static and moving states of the mother UAV.
unmanned Aerial Vehicles (UAVs) are gaining more popularity for various applications such as surveillance, monitoring and mapping. However, navigating UAVs in low-features areas or GPS-denied areas poses a significant...
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ISBN:
(数字)9781510674905
ISBN:
(纸本)9781510674905;9781510674899
unmanned Aerial Vehicles (UAVs) are gaining more popularity for various applications such as surveillance, monitoring and mapping. However, navigating UAVs in low-features areas or GPS-denied areas poses a significant challenge, as conventional GPS-based method for estimating velocity become ineffective. Optical flow algorithms have become a promising approach for UAV velocity estimation in such scenarios. This paper proposed a novel method for UAV velocity estimation for a vision-based navigation system in GPS-denied low-features environments. The proposed method is evaluated and compared to various optical flow methods considering computational efficiency, accuracy, and robustness when predicting UAV velocity. Understanding the strengths and limitations of these optical flow methods will certainly enable the development and implementation of UAV navigationsystems in challenging environments.
This research presents a novel deep learning framework designed to enable autonomous navigation of unmanned aerial vehicle (UAV) swarms through confined spaces, specifically focusing on the challenge of hole crossing....
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The widespread deployment of unmanned Surface Vehicles (USVs) in military reconnaissance and oceanic exploration has underscored the need for sophisticated modeling and simulation technologies. Current studies primari...
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