“…From a negative viewpoint, concerns are raised about ethical issues, the unpredictability of AI, military ethics, and stability problems [11]. Conversely, from a positive perspective, some argue that intelligent drones, when used appropriately, can be more objective and ethical in performing tasks than humans, who might be influenced by emotions such as revenge or anger [12]. Regarding making attack decisions with drones, many papers recommend that humans should be the ones to make the final decision.…”
Drones have become integral in modern warfare, and their evolution towards greater autonomy is inevitable. This study explores the trajectory towards intelligent, minimally human-dependent military drones, detailing the necessary technological advancements. We simulate drone reconnaissance operations to identify and analyze emergent challenges. This study delves into various technologies critical for enhancing drone intelligence, with a focus on reinforcement learning based on object detection, and presents practical implementation examples to illustrate these advancements. Our findings confirm the significant potential for enhancing the intelligence of military drones, paving the way for more autonomous and effective combat solutions.
“…From a negative viewpoint, concerns are raised about ethical issues, the unpredictability of AI, military ethics, and stability problems [11]. Conversely, from a positive perspective, some argue that intelligent drones, when used appropriately, can be more objective and ethical in performing tasks than humans, who might be influenced by emotions such as revenge or anger [12]. Regarding making attack decisions with drones, many papers recommend that humans should be the ones to make the final decision.…”
Drones have become integral in modern warfare, and their evolution towards greater autonomy is inevitable. This study explores the trajectory towards intelligent, minimally human-dependent military drones, detailing the necessary technological advancements. We simulate drone reconnaissance operations to identify and analyze emergent challenges. This study delves into various technologies critical for enhancing drone intelligence, with a focus on reinforcement learning based on object detection, and presents practical implementation examples to illustrate these advancements. Our findings confirm the significant potential for enhancing the intelligence of military drones, paving the way for more autonomous and effective combat solutions.
“…55 They have become indispensable in intelligence gathering, surveillance, targeting, and reconnaissance. 56 The diverse functions and capabilities of drones have altered the balance of power on the battlefield. 57 It is however the deployment of armed drones in densely populated areas that has led to significant civilian casualties.…”
Section: Classifying the Use Of Drones In Conflictsmentioning
Summary
The conflict between Russia and Ukraine has been widely recognized as one of the most significant threats to peace and security in Europe since World War II. The large-scale proliferation of unmanned aerial vehicles in this conflict reveals how drones and autonomous weapons systems are transforming warfare. At the same time, they are raising concerns about the way conflicts are being fought, and how international peace and security is being secured through international humanitarian law. This article therefore provides a deep empirical analysis of the types of drones being deployed in the war between Russia and Ukraine, and their specific contributions to the conflict. The study provides several charts that indicate the make of the drones being used, their type, and the function of each drone employed by both parties to the conflict. The charts highlight various parameters such as maximum speed, endurance, and altitude capabilities. The empirical part of the article then feeds into the second part of the article which delves into the question of whether the drones being used there meet the requirements of the principles of distinction and proportionality as mandated in international humanitarian law. It argues that there seems to be evidence of indiscriminate attacks on civilians and civilian infrastructure, and investigations need to be carried out to determine whether there should be accountability. The article argues that the artificial intelligence being used in drones make them distinct from ordinary weapons as it is their autonomy to make decisions which ensures that accountability for IHL violations is problematic. The article argues that IHL ought to be reformed to deal with these new warfare capabilities.
“…These vehicles come in various shapes and sizes, ranging from small quadcopters to large fixed-wing aircraft. Initially developed for military purposes [2], drones have now expanded into numerous civilian applications including, but not limited to, aerial photography, precision agriculture [3], surveillance [4], search and rescue [5], delivery services [6], infrastructure inspection [7], and more. They are typically equipped with cameras, sensors, and sometimes other specialized equipment based on their intended uses.…”
Unmanned Aerial Vehicles (UAVs), commonly known as drones, have experienced a significant surge in both civilian and military applications, owing to their versatility and cost-effectiveness. However, a negligent use or the operation with harmful intent of these aircraft poses a potential risk to public safety and the privacy of individuals. In response to this threat, counter-drone systems have been developed in recent years, including technologies to detect, position, and neutralize these aircraft. This paper presents a review of different existing commercial counter-drone systems, the technologies behind detection, tracking, and classification, as well as soft and hard kill mitigation.
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