ABSTRACTThe growing reliance on Unmanned Aerial Vehicles in armed conflict raises important questions regarding our conception of both war and the warrior’s place within it. This includes the question of whether the degree to which UAVs mitigate physical risk has imperilled the ethical status of the operator. For those that view this tension as resolvable, reference is frequently made to the eventual acceptance of previous categories of “unfair” weaponry. This article engages with this historical context, identifying the role of physical (...) risk within the historical and contemporary warrior ethos. It first outlines that exposure to personal, physical risk has long been regarded as a crucial element in the ethos-based conception of legitimate violence in war. As will be further shown, however, the warrior ethos is an evolving framework, one that increasingly considers factors such as restraint and professionalism in determining ethical status. The adaptive quality of this ethos is a key explanatory fa... (shrink)

The study considers the problem of ensuring electromagnetic compatibility of EMI-based functional destruction means with other radioelectronic equipment as part of a complex for countering unmanned aerial vehicles. To solve this problem, it is proposed to create a methodology that combines a set of diverse approaches and methods. This study focuses on the use of hollow and thin passive conductors, the use of a magnetodielectric in a reflection symmetric modal filter, the use of reflection symmetric structures for decomposing the train (...) of ultrashort pulses, and the use of a meander line as a protective means against USPs. The main results that are expected to be obtained using the proposed approaches and methods are outlined. (shrink)

This work presents a system to detect small boats to help tackle the problem of this type of perilous immigration. The proposal makes extensive use of emerging technologies like Unmanned Aerial Vehicles combined with a top-performing algorithm from the field of artificial intelligence known as Deep Learning through Convolutional Neural Networks. The use of this algorithm improves current detection systems based on image processing through the application of filters thanks to the fact that the network learns to distinguish the aforementioned (...) objects through patterns without depending on where they are located. The main result of the proposal has been a classifier that works in real time, allowing the detection of pateras and people, kilometres away from the coast. This could be very useful for Search and Rescue teams in order to plan a rescue before an emergency occurs. Given the high sensitivity of the managed information, the proposed system includes cryptographic protocols to protect the security of communications. (shrink)

Rapid and precise air operation mission planning is a key technology in unmanned aerial vehicles autonomous combat in battles. In this paper, an end-to-end UAV intelligent mission planning method based on deep reinforcement learning is proposed to solve the shortcomings of the traditional intelligent optimization algorithm, such as relying on simple, static, low-dimensional scenarios, and poor scalability. Specifically, the suppression of enemy air defense mission planning is described as a sequential decision-making problem and formalized as a Markov decision process. Then, (...) the SEAD intelligent planning model based on the proximal policy optimization algorithm is established and a general intelligent planning architecture is proposed. Furthermore, three policy training tricks, i.e., domain randomization, maximizing policy entropy, and underlying network parameter sharing, are introduced to improve the learning performance and generalizability of PPO. Experiments results show that the model in this work is efficient and stable, and can be adapted to the unknown continuous high-dimensional environment. It can be concluded that the UAV intelligent mission planning model based on DRL has powerful intelligent planning performance, and provides a new idea for researching UAV autonomy. (shrink)

As a NP-hard problem that needs to be solved in real time, the dynamic task allocation problem of unmanned aerial vehicle swarm has gradually become a difficulty and hotspot in the current planning field. Aiming at the problems of poor real-time performance and low quality of the solution in the dynamic task allocation of heterogeneous UAV swarm in uncertain environment, this paper establishes a dynamic task allocation model that can meet the actual needs and uses the binary wolf pack algorithm (...) to solve it, so as to propose a dynamic task allocation method of heterogeneous UAV swarm in uncertain environment. In this method, a dynamic mechanism of attacking while searching and priority attacking of important targets is designed. A dynamic task allocation model of multitarget, multitask, heterogeneous multiaircraft platform and multiconstraint is established based on the target cost-effectiveness ratio and task execution time window. In addition, one-dimensional 0–1 coding method is adopted to encode the task allocation scheme. Furthermore, the wolf pack algorithm is introduced in brief. This paper focuses on the BWPA with the good computational robustness and strong global search ability to solve the dynamic allocation model. According to the simulation results, the designed task allocation method not only has good adaptability to the change of target and UAV number, as well as good stability and scalability, but also can effectively solve the dynamic task allocation problem of heterogeneous UAV swarm in unknown environment. Therefore, the established model and solution method can provide a useful reference for task allocation and other related problems. (shrink)

Wilderness Search and Rescue is the process of finding and assisting persons who are lost in remote wilderness areas. Because such areas are often rugged or relatively inaccessible, searching for missing persons can take huge amounts of time and resources. Camera-equipped mini-Unmanned Aerial Vehicles have the potential for speeding up the search process by enabling searchers to view aerial video of an area of interest while closely coordinating with nearby ground searchers. In this paper, we report on lessons learned by (...) trying to use UAVs to support WiSAR. Our research methodology has relied heavily on field trials involving searches conducted under the direction of practicing search and rescue personnel but using simulated missing persons. Lessons from these field trials include the immediate importance of seeing things well in the video, the field need for defining and supporting various roles in the search team, role-specific needs like supporting systematic search by providing a visualization tool to represent the quality of the search, and the on-going need to better support interactions between ground and video searchers. Surprisingly to us, sophisticated autonomous search patterns were less critical than we anticipated, though advances in video enhancement and visualizing search progress, as well as ongoing work to model the likely location of a missing person, open up the possibility of closing the loop between UAV path-planning, search quality, and the likely location of a moving missing person. Keywords: Unmanned Aerial Vehicles, Wilderness Search and Rescue, Human–Robot Interaction, Human Factors, Field Robotics, Graphical User Interfaces. (shrink)

With the rapid development of science and technology, UAVs have become a new type of weapon in the informatization battlefield by their advantages of low loss and zero casualty rate. In recent years, UAV navigation electromagnetic decoy and electromagnetic interference crashes have activated widespread international attention. The UAV LiDAR detection system is susceptible to electromagnetic interference in a complex electromagnetic environment, which results in inaccurate detection and causes the mission to fail. Therefore, it is very necessary to predict the effects (...) of the electromagnetic environment. Traditional electromagnetic environment effect prediction methods mostly use a single model of mathematical model and machine learning, but the traditional prediction method has poor processing nonlinear ability and weak generalization ability. Therefore, this paper uses the Stacking fusion model algorithm in machine learning to study the electromagnetic environment effect prediction. This paper proposes a Stacking fusion model based on machine learning to predict electromagnetic environment effects. The method consists of Extreme Gradient Boosting algorithm, Gradient Boosting Decision Tree algorithm, K Nearest Neighbor algorithm, and Decision Tree algorithm. Experimental results show that, comprising with the other seven machine learning algorithms, the Stacking fusion model has a better classification prediction accuracy of 0.9762, a lower Hamming code distance of 0.0336, and a higher Kappa coefficient of 0.955. The fusion model proposed in this paper has a better predictive effect on electromagnetic environment effects and is of great significance for improving the accuracy and safety of UAV LiDAR detection systems under the complex electromagnetic environment on the battlefield. (shrink)

The development of artificial intelligence technology has brought changes to various industries. Under the concept of green sustainable development, how to use the progress of science and technology to implement low-carbon strategies is a problem that every enterprise should consider. Aiming at the problem of picking up goods in logistics industry, this paper proposed a secondary task assignment theory for multiple unmanned aerial vehicle based on green scheduling. The theory greatly improves the utilization rate of unmanned aerial vehicle and reduces (...) the energy consumption. We analyzed the advantages and disadvantages of local optimal algorithm and global optimal algorithm in time and energy consumption. Through repeated experiments in different ranges, we have well verified the high efficiency and general applicability of this theory, which can provide theoretical and practical implications for logistics enterprises using UAV to achieve low-carbon sustainable development in the future. (shrink)

Several robotic automation systems, such as unmanned aerial vehicles (UAVs), are being used in combat today. This evokes ethical questions. In this paper, it is argued that UAVs, more than any other weapon, may determine which normative theory the interpretation of the laws of war (LOW) will be based on. UAVs have advantages in terms of reducing casualties for the UAV possessor, but they may at the same time make war seem more like a risk-free enterprise, much like a computer (...) game, lowering the threshold for starting a war. This indicates the importance of revising the LOW, or adding some rules that focus specifically on UAVs. (shrink)

A robust adaptive fuzzy nonlinear controller based on dynamic surface and integral sliding mode control strategy is proposed to realize trajectory tracking for a class of quadrotor UAVs. In this study, the composite factors including parametric uncertainties and external disturbances are added to controller design, which make it more realistic. The quadrotor model is divided into two subsystems of attitude and position that make the control design become feasible. The main contributions of the proposed ADSISMC strategy are as follows: The (...) combination of dynamic surface and integral sliding mode makes the system always in sliding stage by finding the appropriate initial position compared with the common sliding mode, and the complexity of explosion in backstepping method is eliminated. By introducing the fuzzy system, the unknown functions and uncertainties can be approximated which significantly improves the robustness and the tracking performance. The switching control strategy is utilized to compensate for the errors between estimated and ideal inputs; the tracking performance of the whole system has been significantly improved. The simulation results show the effectiveness of the proposed control method. (shrink)

The aim of this article was to discuss the modeling and control method of quadrotor unmanned aerial vehicle. In the process of modeling, mechanism modeling and experimental testing are combined, especially the motor and propeller are modeled in detail. Through the understanding of the body structure and flight principle of the quadrotor UAV, the Newton–Euler method is used to analyze the dynamics of the quadrotor UAV, and the mathematical model of the UAV is established under the small angle rotation. Process (...) identifier is used to control it. First, the attitude angle of the model is controlled by PID, and based on this, the speed in each direction is controlled by PID. Then, the PID control of the four rotor aircraft with the center of gravity offset is simulated by MATLAB. The results show that the pitch angle and roll angle can be controlled by 5 degrees together without center of gravity deviation, and the PID can effectively control the control quantity and achieve the desired effect in a short time. Classical BP algorithm, classical GA-BP algorithm, and improved GA-BP algorithm were trained, respectively, with a total of 150 sets of training data, training function uses Levenberg-Marquardt, and performance function uses mean squared error. In the background of the same noise, the improved GA-BP algorithm has the highest detection rate, classical GA-BP algorithm is the second, and classical BP algorithm is the worst. The simulation results show that the PID control law can effectively control the attitude angle and speed of the rotor UAV in the case of center of gravity deviation. (shrink)

A deep reinforcement learning-based computational guidance method is presented, which is used to identify and resolve the problem of collision avoidance for a variable number of fixed-wing UAVs in limited airspace. The cooperative guidance process is first analyzed for multiple aircraft by formulating flight scenarios using multiagent Markov game theory and solving it by machine learning algorithm. Furthermore, a self-learning framework is established by using the actor-critic model, which is proposed to train collision avoidance decision-making neural networks. To achieve higher (...) scalability, the neural network is customized to incorporate long short-term memory networks, and a coordination strategy is given. Additionally, a simulator suitable for multiagent high-density route scene is designed for validation, in which all UAVs run the proposed algorithm onboard. Simulated experiment results from several case studies show that the real-time guidance algorithm can reduce the collision probability of multiple UAVs in flight effectively even with a large number of aircraft. (shrink)

This paper makes the case for arms control regimes to govern the development and deployment of autonomous weapon systems and long range uninhabited aerial vehicles.

In this article, I present a two-pronged argument for the immorality of contemporary, asymmetric drone warfare, based on my new interpretations of the just war principles of “proportionality” and “moral equivalence of combatants” (MEC). The justification for these new interpretations is that drone warfare continues to this day, having survived despite arguments against it that are based on traditional interpretations of just war theory (including one from Michael Walzer). On the basis of my argument, I echo Harry Van der Linden’s (...) call for “an international treaty banning all weaponized UAV [uninhabited aerial vehicles].”. (shrink)

A variety of ethical objections have been raised against the military employment of uninhabited aerial vehicles (UAVs, drones). Some of these objections are technological concerns over UAVs abilities’ to function on par with their inhabited counterparts. This paper sets such concerns aside and instead focuses on supposed objections to the use of UAVs in principle. I examine several such objections currently on offer and show them all to be wanting. Indeed, I argue that we have a duty to protect an (...) agent engaged in a justified act from harm to the greatest extent possible, so long as that protection does not interfere with the agent's ability to act justly. UAVs afford precisely such protection. Therefore, we are obligated to employ UAV weapon systems if it can be shown that their use does not significantly reduce a warfighter's operational capability. Of course, if a given military action is unjustified to begin with, then carrying out that act via UAVs is wrong, just as it would be with any weapon. But the point of this paper is to show that there is nothing wrong in principle with using a UAV and that, other things being equal, using such technology is, in fact, obligatory. (shrink)

Debates about terrorism and technology often focus on the potential uses of technology by non-state terrorist actors and by states as forms of counterterrorism. Yet, little has been written about how technology shapes how we think about terrorism. In this chapter I argue that technology, and the language we use to talk about technology, constrains and shapes our understanding of the nature, scope, and impact of terrorism, particularly in relation to state terrorism. After exploring the ways in which technology shapes (...) moral thinking, I use two case studies to demonstrate how technology simultaneously hides and enables terroristic forms of state violence: police control technologies and Unmanned Aerial Vehicles (UAVs), or drones. In both these cases, I argue that features of these technologies, combined with a narrative of precision and efficiency, serves to mask the terroristic nature of the violence that these practices inflict and reinforces the moral exclusion of those against whom these technologies are deployed. In conclusion, I propose that identifying acts of terrorism requires a focus on the impact of technologies of violence (whether they are “high tech” or not) on those most affected, regardless of whether users of these technologies conceive of their actions as terroristic. (shrink)

Remotely piloted aviation systems or ‘drones’ are well known for their military applications, but could also be used for a range of non-military applications for state, industrial, commercial and recreational purposes. The technology is advanced and regulatory changes are underway which will allow their use in domestic airspace. As well as the functional and economic benefits of a strong civil RPAS sector, the potential benefits for the military RPAS sector are also widely recognised. Several actors have nurtured this dual-use aspect (...) of civil RPAS development. However, concerns have been raised about the public rejecting the technology because of their association with military applications and potentially controversial applications, for example in policing and border control. In contrast with the enthusiasm for dual-use exhibited throughout the EC consultation process, the strategy for avoiding public rejection devised in its roadmap would downplay the connection between military and non-military RPAS and focus upon less controversial applications such as search and rescue. We reflect upon this contrast in the context of the European agenda of responsible research and innovation. In doing so, we do not rely upon critique of drones per se, in their neither their civil nor military guise, but explore the extent to which current strategies for managing their public acceptability are compatible with a responsible and socially beneficial development of RPAS for civil purposes. (shrink)

Warfare is becoming increasingly automated, from automatic missile defense systems to micro-UAVs (WASPs) that can maneuver through urban environments with ease, and each advance brings with it ethical questions in need of resolving. Proponents of lethal autonomous weapons systems (LAWS) provide varied arguments in their favor; robots are capable of better identifying combatants and civilians, thus reducing "collateral damage"; robots need not protect themselves and so can incur more risks to protect innocents or gather more information before using deadly force; (...) robots can assess situations more quickly and do so without emotion, reducing the likelihood of fatal mistakes due to human error; and sending robots to war protects our own soldiers from harm. However, these arguments only point in favor of autonomous weapons systems, failing to demonstrate why such systems need be made *lethal*. In this paper I argue that if one grants all of the proponents' points in favor of LAWS, then, contrary to what might be expected, this leads to the conclusion that it would be both immoral and illegal to deploy *lethal* autonomous weapons, because the many features that speak in favor of them also undermine the need for them to be programmed to take lives. In particular, I argue that such systems, if lethal, would violate the moral and legal principle of necessity, which forbids the use of weapons that impose superfluous injury or unnecessary harm. I conclude by highlighting that the argument is not against autonomous weapons per se, but only against *lethal* autonomous weapons. (shrink)

Abstract The debate about the ethics of uninhabited aerial vehicles (UAVs) is failing to keep pace with the rise of the technology. Therefore, all the key players, including ethicists, lawyers, and roboticists, are keen to offer their views on the use of these drone aircraft. Some are opposed to their use, citing a range of ethical, legal and operational issues, while others argue for their ethically mandated use. B.J. Strawser fits into this latter category. He develops a principle of ?unnecessary (...) risk?, from which he argues that we have an ethical obligation to employ UAVs if we can do so without incurring a loss of capability. Strawser defends his argument against a number of potential objections, most questionably, the argument that the use of distance weaponry such as drones, against another state without distance weaponry, crosses some moral threshold that makes the combat immoral. Utilising Jeff McMahan's work on the inequality of combatants, Strawser essentially argues that there are no grounds for a ?fair fight?. However, this paper will argue that it is not so easy to overturn the doctrine of the moral equality of combatants, nor dismiss the problem with asymmetry. It will demonstrate that if the asymmetry reaches a certain level, the justification for resorting to war may be removed and some sort of policing action may remain the only option. (shrink)

In the mining industry, smart surveying and exploration operations for the minerals are essential during mining missions. Usually, these missions are performed in remote areas that do not have a wireless communications infrastructure. This paper proposes to use the unmanned aerial vehicle as a relay communication node between the exploration team and the ground control station. UAV can act as a relay node to provide mobile, flexible, and reliable communication links in remote environments and complex topologies. In this work, the (...) pathloss models in millimeter-wave technology are considered because they provide massive data rates for line of sight scenarios. The optimization problem of identifying a 3D location and trajectory of the UAV relay node is formulated to maximize the total team members’ data rate. Because the problem is non-convex, the particle swarm optimization algorithm is used to solve it and determine an efficient location and trajectory of the UAV. (shrink)

Unmanned Aerial Vehicles, commonly known as “drones,” are a military technology now being developed for civilian and commercial use in the United States. With the federal government moving to develop rules for these uses in U.S. airspace by 2015, technologists, researchers, and news organizations are considering application of drone technology for reporting and data gathering. UAVs offer an inexpensive way to put cameras and sensors in the air to capture images and data but also pose serious concerns about safety, privacy, (...) conflict of interest, perspective, and credibility. This research examines the early ethical considerations among drone journalism developers and digital information activists. It places those considerations against the backdrop of utilitarian ethical theory applied to journalism to suggest additional layers of reasoning that must be applied to drones in reporting. Finally, it suggests articulation of ethical guidelines and transparency with the public as means to address inevitable adverse effects of use of this technology. (shrink)

This paper argues that today the true source of terror in the economico-biopolitically advanced countries of global capitalism lies in biopower’s own constitution as a normative field (the protection of life) that presupposes its exception (the superfluity of life) as its own precondition. At the two extreme poles of this exception we find “terrorism,” and particularly suicide bombing, and unmanned aerial vehicles (UAVs or drones), as the pair revealing the core of biopower. However, of the two only “terrorism” is discursively (...) constructed in the “West” as a monstrous act that should incite horror. Linking horror to the psychoanalytic concepts of repression and foreclosure, I argue that the biopolitical function of horror lies in rendering unreadable the message of such “monstrous” acts. Furthermore, insofar as horror’s experience is an affective state of being that can, nevertheless, be incited discursively, affect shifts to the center of the political domain. The affect of horror in particular becomes instrumental to politics as it can provide the criterion for determining the bio-racial break between, in Foucault’s words, “what must live and what must die.”. (shrink)

For unmanned aerial vehicle, object detection at different scales is an important component for the visual recognition. Recent advances in convolutional neural networks have demonstrated that attention mechanism remarkably enhances multiscale representation of CNNs. However, most existing multiscale feature representation methods simply employ several attention blocks in the attention mechanism to adaptively recalibrate the feature response, which overlooks the context information at a multiscale level. To solve this problem, a multiscale feature filtering network is proposed in this paper for image (...) recognition system in the UAV. A novel building block, namely, multiscale feature filtering module, is proposed for ResNet-like backbones and it allows feature-selective learning for multiscale context information across multiparallel branches. These branches employ multiple atrous convolutions at different scales, respectively, and further adaptively generate channel-wise feature responses by emphasizing channel-wise dependencies. Experimental results on CIFAR100 and Tiny ImageNet datasets reflect that the MFFNet achieves very competitive results in comparison with previous baseline models. Further ablation experiments verify that the MFFNet can achieve consistent performance gains in image classification and object detection tasks. (shrink)

In this work, a new intelligent control strategy based on neural networks is proposed to cope with some external disturbances that can affect quadrotor unmanned aerial vehicles dynamics. Specifically, the variation of the system mass during logistic tasks and the influence of the wind are considered. An adaptive neuromass estimator and an adaptive neural disturbance estimator complement the action of a set of PID controllers, stabilizing the UAV and improving the system performance. The control strategy has been extensively tested with (...) different trajectories: linear, helical, circular, and even a lemniscate one. During the experiments, the mass of the UAV is triplicated and winds of 6 and 9 in Beaufort’s scale are introduced. Simulation results show how the online learning of the estimator increases the robustness of the controller, reducing the effects of the changes in the mass and of the wind on the quadrotor. (shrink)

A number of recent and influential accounts of military ethics have argued that there exists a distinctive “role morality” for members of the armed services—a “warrior code.” A “good warrior” is a person who cultivates and exercises the “martial” or “warrior” virtues. By transforming combat into a “desk job” that can be conducted from the safety of the home territory of advanced industrial powers without need for physical strength or martial valour, long-range robotic weapons, such as the “Predator” and “Reaper” (...) drones fielded by the United States, call the relevance of the “martial virtues” into question. This chapter investigates the implications of these developments for conceptions of military virtue and, consequently, for the future of war. (shrink)

Arming uninhabited vehicles (UVs) is an increasing trend. Widespread deployment can bring dangers for arms-control agreements and international humanitarian law (IHL). Armed UVs can destabilise the situation between potential opponents. Smaller systems can be used for terrorism. Using a systematic definition existing international regulation of armed UVs in the fields of arms control, export control and transparency measures is reviewed; these partly include armed UVs, but leave large gaps. For preventive arms control a general prohibition of armed UVs would be (...) best. If that is unattainable, several measures should be taken. An explicit prohibition of autonomous attack, that is without a human decision, should be added to IHL. Concerning armed UVs remotely controlled by a human soldier, recommendations differ according to type or mission. New kinds of uninhabited nuclear-weapon carriers should be banned. Space weapons should be prohibited in general. UVs smaller than 0.2–0.5 m should be banned. Bigger remotely controlled armed UVs not equipped with weapons of mass destruction should be subject to numerical limitations in various categories. For these the Treaty on Conventional Armed Forces in Europe is an important precedent. (shrink)

The aerial manipulator is a complex system with high coupling and instability. The motion of the robotic arm will affect the self-stabilizing accuracy of the unmanned aerial vehicles. To enhance the stability of the aerial manipulator, a composite controller combining conventional proportion integration differentiation control, fuzzy theory, and neural network algorithm is proposed. By blurring the attitude error signal of UAV as the input of the neural network, the anti-interference ability and stability of UAV is improved. At the same time, (...) a neural network model identifier based on Maxout activation function is built to realize accurate recognition of the controlled model. The simulation results show that, compared with the conventional PID controller, the composite controller combined with fuzzy neural network can improve the anti-interference ability and stability of UAV greatly. (shrink)

Freezing is a common sign of panic, a response to accidents or events that overflow our capacity to react. Just as all civil airspace was cleared after the 9/11 attacks, the US-Canada border was also frozen, causing economic slowdowns. Border policies are caught between these two panics: security failures and economic crisis. To escape this paradox, American and Canadian authorities have implemented a series of security measures to make the border ‘smarter’, notably the implementation of biometric identity documents and surveillance (...) by UAV Predator drones. Psychoanalytic theory can help us explain why the Canadian and American governments have invested so much money for so little evident or measurable increase in either security or economic flows. The article uses the notion of phantastic objects to explain these (over-)reactions to risk management at the US-Canada border. (shrink)

Unmanned aerial vehicles, particularly quadcopters, have several medical, agriculture, surveillance, and security applications. However, the use of this innovative technology for civilian applications is still very limited in low-income countries due to the high cost, whereas low-cost controllers available in the market are often tuned using the hit and trial approach and are limited for specific applications. This paper addresses this issue and presents a novel proof of concept low-cost quadcopter UAV design approach using a systematic Model-Based Design method for (...) mathematical modeling, simulation, real-time testing, and prototyping. The quadcopter dynamic model is developed, and controllers are designed using Proportional Integral, and Derivative, Pole Placement, and Linear Quadratic Regulator control strategies. The stability of the controllers is also checked using Lyapunov stability analysis. For verification and validation of the design, Software-in-the-Loop, Processor-in-the-Loop, Hardware-in-the-loop testing, and Rapid Control Prototyping have been performed. The V&V methods of the MBD approach showed practically valid results with a stable flight of the quadcopter prototype. The proposed low-cost POC quadcopter design approach can be easily modified to have enhanced features, and quadcopters with different design parameters can be assembled using this approach for a diverse range of applications. (shrink)

Over the past decade, unmanned aerial vehicles (UAVs) have received increasing attention and are being used in the areas of harvesting, videotaping, and the military industry. In this article, the consideration is focused on areas where video recording is required for ground inspections. This paper describes modern communication technologies and systems that enable interaction and data exchange between UAVs and a ground control station (GCS). This article focuses on different architectures of communication systems, establishing the characteristics of each to identify (...) the preferred architecture that does not require a significant consumption of resources and whose data transmission is reliable. A coherent architecture that includes multiple UAVs, wireless sensor networks, cellular networks, GCSs, and satellite network to duplicate communications for enhanced system security has been offered. Some reliability problems have been discussed, the solution of which was suggested to be a backup connection via satellite, i.e., a second connection. This study focused not only on the communication channels but also on the data exchanged between system components, indicating the purpose of their application. Some of the communication problems and shortcomings of various systems, as well as further focus areas and improvement recommendations were discussed. (shrink)

This article provides an ethical evaluation of the CIA's use of Unmanned Aerial Vehicles to target so-called terror suspects and insurgents. It utilises Christian informed deontological and virtue-ethical criteria to assess this practise. These criteria include just intent, charity, proportionality, moral consistency, truthfulness, mercy, courage and prudence. The article concludes that the UAV target programme is morally problematic. The United States’ ‘kill not capture’ policy as exemplified in the use of ‘signature’ strikes defies the virtues at stake. By using UAV's (...) as tools for preventive warfare, utilising armed UAV's that are weapons of war outside areas of armed conflict and disregarding the principles of transparency, last resort and proportionality, the United States is employing UAV's in a morally illegitimate and imprudent way, and is setting precedents that might have dire consequences for global peace and the security of future generations. (shrink)

We describe a novel affect-inspired mechanism to improve the performance of computational systems operating in dynamic environments. In particular, we designed a mechanism that is based on aspects of the fear response in humans to dynamically reallocate operating system-level central processing unit (CPU) resources to processes as they are needed to deal with time-critical events. We evaluated this system in the MINIX® and Linux® operating systems and in three different testing environments (two simulated, one live). We found the affect-based system (...) was not only able to react more rapidly to time-critical events as intended, but since the dynamic processes for handling these events did not need to use significant CPU when they were not in time-critical situations, our simulated unmanned aerial vehicle (UAV) was able to perform even non-emergency tasks at a higher level of efficiency and reactivity than was possible in the standard implementation. (shrink)

ABSTRACTTwo categories of ethical questions surrounding military autonomous systems are discussed in this article. The first category concerns ethical issues regarding the use of military autonomous systems in the air and in the water. These issues are systematized with the Laws of Armed Conflict as a backdrop. The second category concerns whether autonomous systems may affect the ethical interpretation of LOAC. It is argued that some terms in LOAC are vague and can be interpreted differently depending on which ethical normative (...) theory is used, which may increase with autonomous systems. The impact of Unmanned Aerial Vehicles on the laws of war will be discussed and compared to Maritime Autonomous Systems. The conclusion is that there is need for revisions of LOAC regarding autonomous systems, and that the greatest ethically relevant difference between UAVs and MAS has to do with issues connected to jus ad bellum – particularly lowering the threshold for starting war – but also the sen... (shrink)

This article employs Gerald Dworkin’s analysis in “Is More Choice Better Than Less” in order to understand the challenges and consequences of having enlarged the scope of military options to include precision guided munitions and unmanned aerial vehicle capabilities.1 Following Dworkin, we argue that having more strategic choices are not always better than less for a number of specific reasons. Unlike many philosophical discussions of the use of these military technologies, ours is an account of the prudential challenges and consequences (...) of having widened military options, and the analysis self-consciously avoids making moral or legal claims concerning their use. It is simply an examination of the claim that widening the range of tactical options, to include these new weapon systems, is necessarily better. We will follow the outline of Dworkin’s argument in describing the current politico-military affairs. Our intent is to expose the practical costs associated with having tactical choices that include the use of these technologies. To be clear, the argument does not bear directly on the use of these technologies, but rather on the challenges associated with merely having the choice to use these weapon systems. Faced with the challenges associated with the option of having PGM or UAV capabilities, it may be judicious for countries to freely limit the military choices that they have at their disposal. This is not self-evident since the weapon technologies in question are not the sort that poses a clear and present danger to a large number of citizens, as was the case with nuclear weapons limited in the Strategic Arms Limitation Talks of the 1970s or 1980s. Therefore a more detailed philosophical argument is warranted. A final caveat needs to be stated: The argument is to be taken as a whole since no single aspect of Dworkin’s analysis is definitive in regard to the question of whether more choice is indeed better than less. Each aspect does, however, contribute to a deeper understanding of what enlarging the set of tactical means for modern militaries. (shrink)

Floods are one of the main natural disasters, which cause huge damage to property, infrastructure, and economic losses every year. There is a need to develop an approach that could instantly detect flooded extent. Satellite remote sensing has been useful in emergency responses; however, with significant weakness due to long revisit period and unavailability during rainy/cloudy weather conditions. In recent years, unmanned aerial vehicle systems have been widely used, especially in the fields of disaster monitoring and complex environments. This study (...) employs deep learning models to develop an automated detection of flooded buildings with UAV aerial images. The method was explored in a case study for the Kangshan levee of Poyang Lake. Experimental results show that the inundation for the focal buildings and vegetation can be detected from the images with 88% and 85% accuracy, respectively. And further, we can estimate the buildings’ inundation area according to the UAV images and flight parameters. The result of this study shows promising value of the accuracy and timely visualization of the spatial distribution of inundation at the object level for the end users from flood emergency response sector. (shrink)

The quality of service of a user in user-centric unmanned aerial vehicle group is degraded by complex cochannel interference; hence, a cooperative game power control algorithm in UUAVG is proposed. The algorithm helps to establish a downlink power control model of the UUAVG, construct a product of the signal to interference noise ratio function of each user as a utility function of the cooperative game, and deduce the optimal power control scheme using the Lagrange function. This scheme reduces the interference (...) of the service unmanned aerial vehicle to edge users and improves the communication quality of all the users as well as the throughput of the entire system. Simulation results show that the average throughput of the CGPC algorithm improved by 10.32% compared with the traditional Stackelberg Game based Nonunified Pricing Power Control algorithm. This shows that the CGPC algorithm can effectively reduce the transmission power of the cooperative UAV and enhance the capacity of the entire system, ensuring communication quality. (shrink)

This article explores the effects of our technological way of war, for the first time driving toward total combatant immunity, on the psyche of combatants and the ethos of a warrior. It is a plea for the preservation of a warrior spirit, or at least a warrior class, that views war in a philosophical and personal manner. The article posits that without a sense of the tragic, without a personal test of will and skill often at great individual risk, we (...) can find no real meaning in war. It argues that the warrior dimension of immunity in warfare has somehow altered our experience of war, yet the effects of this ‘virtual war’ are still ambiguous – we do not yet know whether executing warfare through long-distance video desensitizes the ‘remote warrior’ or enhances his/her experience of killing. We do not yet know how combatants ‘commuting’ to war from home and being transported 7000 miles into battle through this ‘miracle’ of technology will handle the consequences of what the nation is asking them to do. We kn.. (shrink)

The use of cognitive systems like pattern recognition or video tracking technology in security applications is becoming ever more common. The paper considers cases in which the cognitive systems are meant to assist human tasks by providing information, but the final decision is left to the human. All these systems and their various applications have a common feature: an intrinsic difference in how a situation or an event is assessed by a human being and a cognitive system. This difference, which (...) here is named “the model gap,” is analyzed pertaining to its epistemic role and its ethical consequences. The main results are as follows: (1) The model gap is not a problem, which might be solved by future research, but the central feature of cognitive systems. (2) The model gap appears on two levels: the aspects of the world, which are evaluated, and the way they are processed. This leads to changes in central concepts. While differences on the first level often are the very reason for the deployment of cognitive systems, the latter is hard to notice and often goes unreflected. (3) Such a missing reflection is ethically problematic because the human is meant to give the final judgment. It is particularly problematic in security applications where it might lead to a conflation of descriptive and normative concepts. (4) The idea of the human operator having the last word is based on an assumption of independent judgment. This assumption is flawed for two reasons: The cognitive system and the human operators form a “hybrid system” the components of which cannot be assessed independently; and additional modes of judgment might pose new ethical problems. (shrink)