Utilization of Aerial Drone Technology in Logistics

In order to create a supply chain that is both economically and ecologically sustainable and complies with contemporary standards, the logistics chain must be modernized and should rely on new technology. In this article, the authors will attempt to elaborate the development direction of delivery systems through examples of technology-oriented companies such as Amazon, focusing on the use of unmanned aerial vehicles (drones) for delivering smaller packages within urban and suburban environments. The main goal of using drones in urban logistics is to reduce the burden on city roads and the use of road vehicles that generate the highest gaseous emissions footprint. The use of drones has proven to be extremely flexible and useful in port logistics as well, eliminating the need to send supply vessels into rough seas or putting people in danger during exhaust emission control. However, drones are a relatively new technology, and they have their own limitations, which are still being discovered. The main constraints of the devices themselves are power sources and the power of the aircraft, which currently and likely in the future won’t be able to transport heavier commercial loads. Increased use leads to congestion in airspace, posing risks to other modes of transportation such as road or air. Research shows that the current use of drones mainly revolves around test flights or limited applications within a regulated environment

Sistema de valoración funcional para sistemas de aeronavegación no tripulados a partir de la calidad de la información

Unmanned aerial navigation systems are not used in many military and non-military applications. However, these systems are susceptible be operated by hackers partially or completely. Therefore, in this article based on the JDL model for safety assessment of the drone’s framework it is proposed. Metrics for each level of the merger in conjunction with a mapping system in order to determine the dependence of data between different levels are proposed, considering the contextual user ratings.Los sistemas de aeronavegación no tripulados son utilizados en múltiples aplicaciones militares y no militares. Sin embargo, estos sistemas son susceptibles de ser intervenidos por delincuentes informáticos parcial o totalmente. En este artículo se propone un framework basado en el modelo JDL para la evaluación de la seguridad de los drones y se establecen criterios de evaluación de desempeño y de calidad de la información para cada nivel de la fusión, en conjunto con un sistema de mapeo de estas métricas, con el fin de determinar la dependencia de los datos entre diferentes niveles, contemplando la valoración contextual del usuario

A Comprehensive Review of AI-enabled Unmanned Aerial Vehicle: Trends, Vision , and Challenges

In recent years, the combination of artificial intelligence (AI) and unmanned aerial vehicles (UAVs) has brought about advancements in various areas. This comprehensive analysis explores the changing landscape of AI-powered UAVs and friendly computing in their applications. It covers emerging trends, futuristic visions, and the inherent challenges that come with this relationship. The study examines how AI plays a role in enabling navigation, detecting and tracking objects, monitoring wildlife, enhancing precision agriculture, facilitating rescue operations, conducting surveillance activities, and establishing communication among UAVs using environmentally conscious computing techniques. By delving into the interaction between AI and UAVs, this analysis highlights the potential for these technologies to revolutionise industries such as agriculture, surveillance practices, disaster management strategies, and more. While envisioning possibilities, it also takes a look at ethical considerations, safety concerns, regulatory frameworks to be established, and the responsible deployment of AI-enhanced UAV systems. By consolidating insights from research endeavours in this field, this review provides an understanding of the evolving landscape of AI-powered UAVs while setting the stage for further exploration in this transformative domain