Special Issue "Autonomous Navigation Systems: Design, Control and Applications"

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".

Deadline for manuscript submissions: 10 March 2021.

Special Issue Editors

Prof. Dr. Rafael Casado
Website
Guest Editor
Department of Computing Systems, University of Castilla-La Mancha, 02071 Albacete, Spain
Interests: control systems; autonomous navigation systems; unmanned aerial vehicles; air navigation and air traffic management systems
Prof. Dr. Aurelio Bermúdez
Website
Guest Editor
Department of Computing Systems, University of Castilla-La Mancha, 02071 Albacete, Spain
Interests: autonomous navigation systems; unmanned aerial vehicles; air navigation and air traffic management systems

Special Issue Information

Dear Colleagues,

 In a few years, advances in autonomous navigation systems (ANS) will allow all kinds of robots to travel everywhere, interacting among them and/or with humans. Potential applications are innumerable and some, so far, unimaginable.

Producing truly reliable ANS systems goes beyond overcoming a series of technological challenges, ranging from the production of better sensors and actuators to the development of algorithms and interaction protocols that allow robots to make successful navigation decisions.

This Special Issue focuses on the analysis, design, implementation and emerging applications of Autonomous Navigation Systems. We invite the scientific community to provide high-quality contributions with consolidated and evaluated research related to this promising investigation area. 

The topics of interest include, but are not limited to:

  • Autonomous mobile robots
  • Sensing and perception for navigation purposes (GPS, IMU, INS, LIDAR, odometry, camera…)
  • Simultaneous localization and mapping (SLAM)
  • Path planning, following, and tracking
  • Obstacle avoidance
  • Collision-free multi agent/robot navigation
  • Cooperative/swarm navigation
  • Human detection and interaction
  • Autonomous aerial vehicles
  • Autonomous underwater vehicles
  • Applications of autonomous mobile robots (industry, education, health, transportation, disaster management, space exploration, precision agriculture…)
  • Competitions of autonomous robotic platforms

Prof. Dr. Rafael Casado
Prof. Dr. Aurelio Bermúdez
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Autonomous mobile robots
  • Simultaneous localization and mapping (SLAM)
  • Path planning and following
  • Collision-free multi agent/robot navigation
  • Cooperative/swarm navigation
  • Human detection and interaction
  • Autonomous aerial/underwater vehicles

Published Papers (2 papers)

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Research

Open AccessArticle
Neural Network-Based Aircraft Conflict Prediction in Final Approach Maneuvers
Electronics 2020, 9(10), 1708; https://doi.org/10.3390/electronics9101708 - 18 Oct 2020
Abstract
Conflict detection and resolution is one of the main topics in air traffic management. Traditional approaches to this problem use all the available information to predict future aircraft trajectories. In this work, we propose the use of a neural network to determine whether [...] Read more.
Conflict detection and resolution is one of the main topics in air traffic management. Traditional approaches to this problem use all the available information to predict future aircraft trajectories. In this work, we propose the use of a neural network to determine whether a particular configuration of aircraft in the final approach phase will break the minimum separation requirements established by aviation rules. To achieve this, the network must be effectively trained with a large enough database, in which configurations are labeled as leading to conflict or not. We detail the way in which this training database has been obtained and the subsequent neural network design and training process. Results show that a simple network can provide a high accuracy, and therefore, we consider that it may be the basis of a useful decision support tool for both air traffic controllers and airborne autonomous navigation systems. Full article
(This article belongs to the Special Issue Autonomous Navigation Systems: Design, Control and Applications)
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Open AccessArticle
Real-Time Collision-Free Navigation of Multiple UAVs Based on Bounding Boxes
Electronics 2020, 9(10), 1632; https://doi.org/10.3390/electronics9101632 - 03 Oct 2020
Abstract
Predictably, future urban airspaces will be crowded with autonomous unmanned aerial vehicles (UAVs) offering different services to the population. One of the main challenges in this new scenario is the design of collision-free navigation algorithms to avoid conflicts between flying UAVs. The most [...] Read more.
Predictably, future urban airspaces will be crowded with autonomous unmanned aerial vehicles (UAVs) offering different services to the population. One of the main challenges in this new scenario is the design of collision-free navigation algorithms to avoid conflicts between flying UAVs. The most appropriate collision avoidance strategies for this scenario are non-centralized ones that are dynamically executed (in real time). Existing collision avoidance methods usually entail a high computational cost. In this work, we present Bounding Box Collision Avoidance (BBCA) algorithm, a simplified velocity obstacle-based technique that achieves a balance between efficiency and cost. The performance of the proposal is analyzed in detail in different airspace configurations. Simulation results show that the method is able to avoid all the conflicts in two UAV scenarios and most of them in multi-UAV ones. At the same time, we have found that the penalty of using the BBCA collision avoidance technique on the flying time and the distance covered by the UAVs involved in the conflict is reasonably acceptable. Therefore, we consider that BBCA may be an excellent candidate for the design of collision-free navigation algorithms for UAVs. Full article
(This article belongs to the Special Issue Autonomous Navigation Systems: Design, Control and Applications)
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