UAV (Unmanned Aerial Vehicles) Networks: Recent Developments and Emerging Trends

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: 15 November 2024 | Viewed by 501

Special Issue Editors


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Guest Editor
School of Production Engineering and Management, Technical University of Crete, 73100 Chania, Greece
Interests: unmanned aerial vehicles; electric vehicles; electric vehicle routing problem; vehicle routing problem with drones; swarm intelligence algorithms; optimization

E-Mail Website
Guest Editor
School of Production Engineering and Management, Technical University of Crete, 73100 Chania, Greece
Interests: unmanned aerial vehicles; vehicle routing problem; electric vehicle routing problem; vehicle routing problem with drones; swarm intelligence; metaheuristic algorithms; control; optimization

E-Mail Website
Guest Editor
School of Production Engineering and Management, Technical University of Crete, 73100 Chania, Greece
Interests: unmanned aerial vehicles; electric vehicle routing problem; humanitarian logistics; metaheuristic algorithms; optimization

E-Mail Website
Guest Editor
School of Production Engineering and Management, Technical University of Crete, 73100 Chania, Greece
Interests: electric vehicles and routing problems; optimization; metaheuristic algorithms; unmanned aerial vehicles

Special Issue Information

Dear Colleagues,

The rapid uptake of unmanned aerial vehicles (UAVs) across various industries is revolutionizing traditional processes by offering cost-effective solutions, enhanced data collection capabilities, increased operational efficiency, and remote operation. Subsequently, UAVs find applications in diverse fields such as agriculture, surveillance, environmental monitoring, infrastructure inspection, disaster response, and more.

The emphasis of this Special Issue lies in state-of-the-art UAV applications, specifically highlighting scenarios where UAVs function collectively as a swarm. Such UAV swarms can collaborate and synchronize efforts to accomplish intricate tasks that surpass the capabilities of individual UAVs.

The spotlight is directed towards the energy efficiency and ecological footprint of UAVs, given their pivotal role in shaping novel UAV applications. Leveraging a UAV swarm can enhance both aspects, thereby augmenting their adaptability and sustainability.

Operational reliability and safety constitute an additional focal point. With the expanding sphere of UAV utilization, guaranteeing their secure and consistent operation becomes paramount, particularly in swarm scenarios. Consequently, this Special Issue invites research contributions that tackle issues of operational reliability and safety, alongside research that present novel applications for UAV swarms.

This Special Issue's scope encompasses a diverse array of cutting-edge UAV applications, spanning across humanitarian, commercial, geomatics and monitoring domains. Additionally, research contributions from various disciplines like policy, planning, routing, sensing, and communication are eagerly encouraged, fostering a holistic comprehension of the spectrum of challenges and prospects within UAV applications.

The purpose of this Special Issue is threefold. Firstly, it aims to highlight the state-of-the-art in UAV applications and discuss established approaches.  Secondly, it strives to enrich the UAV literature with captivating, potentially revolutionary, novel applications and principles. Lastly, it endeavours to incorporate research from diverse fields, approaching the subject from a multitude of angles, thus serving as an invaluable repository of insights for researchers, practitioners, and policymakers intrigued by both present and prospective trajectories in UAV applications.

Prof. Dr. Yannis Marinakis
Dr. Magdalene Marinaki
Dr. Nikolaos A. Kyriakakis
Dr. Themistoklis Stamadianos
Guest Editors

Manuscript Submission Information

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Keywords

  • unmanned aerial vehicles
  • optimization algorithms
  • humanitarian applications
  • supply chain management
  • swarm intelligence

Published Papers (1 paper)

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Research

23 pages, 22021 KiB  
Article
Development of an Uneven Terrain Decision-Aid Landing System for Fixed-Wing Aircraft Based on Computer Vision
by Chin-Sheng Chuang and Chao-Chung Peng
Electronics 2024, 13(10), 1946; https://doi.org/10.3390/electronics13101946 - 15 May 2024
Viewed by 277
Abstract
This paper presents a computer vision-based standalone decision-aid landing system for light fixed-wing aircraft, aiming to enhance safety during emergency landings. Current landing assistance systems in airports, such as Instrument Landing Systems (ILSs) and Precision Approach Path Indicators (PAPIs), often rely on costly [...] Read more.
This paper presents a computer vision-based standalone decision-aid landing system for light fixed-wing aircraft, aiming to enhance safety during emergency landings. Current landing assistance systems in airports, such as Instrument Landing Systems (ILSs) and Precision Approach Path Indicators (PAPIs), often rely on costly and location-specific ground equipment, limiting their utility for low-payload light aircraft. Especially in emergency conditions, the pilot may be forced to land on an arbitrary runway where the road flatness and glide angle cannot be ensured. To address these issues, a stereo vision-based auxiliary landing system is proposed, which is capable of estimating an appropriate glide slope based on the terrain, to assist pilots in safe landing decision-making. Moreover, in real-world scenarios, challenges with visual-based methods arise when attempting emergency landings on complex terrains with diverse objects, such as roads and buildings. This study solves this problem by employing the Gaussian Mixture Model (GMM) to segment the color image and extract ground points, while the iterative weighted plane fitting (IWPF) algorithm is introduced to mitigate the interference of outlier feature points, reaching a highly robust plane normal estimation. With the aid of the proposed system, the pilot is able to evaluate the landing glide angle/speed with respect to the uneven terrain. Simulation results demonstrate that the proposed system can successfully achieve landing guidance in unknown environments by providing glide angle estimations with an average error of less than 1 degree. Full article
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