Special Issue "Autonomous Navigation Systems for Unmanned Aerial Vehicles"

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".

Deadline for manuscript submissions: 31 March 2020.

Special Issue Editors

Dr. Rodrigo Munguı́a
E-Mail Website
Guest Editor
Department of Computer Science, CUCEI, University of Guadalajara, Blvd. Marcelino Garca Barragn 1421, C.P. 44430 Guadalajara, Jalisco, México
Interests: mobile robotics, unmanned aerial vehicles, navigation systems for autonomous vehicles, automatic control, optimal state estimation and computer vision
Dr. Antoni Grau
E-Mail Website
Guest Editor
School of Industrial Engineering, Technical University of Catalonia (UPC, BarcelonaTech), Barcelona E-08028, Spain
Tel. +34 649517753
Interests: autonomous robots, robot navigation, sensors in robotics, unmanned aerial vehicles
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Special Issue Information

Dear Colleagues,

Autonomous navigation is a fundamental necessity for any application involving unmanned aerial vehicles (UAV). The global positioning system (GPS) and inertial measurements units (IMU), or their fused variant, the inertial navigation systems (INS), represent the most common approaches for addressing the problem of UAVs navigation. Nevertheless, cluttered, and GPS-denied, environments still pose a considerable challenge. Moreover, GPS-based navigation can be unreliable in several scenarios where precision maneuvers are required. This Special Issue is intended to contribute to the research area of autonomous navigation systems for UAVs.

Also, to control and navigate, UAVs require the use of several critical on-board sensors that can generate data enough to perform those tasks. The reading, treatment, processing, and understanding of this data in real time is another open issue that will be covered by this Special Issue. Finally, depending on the UAV usage, specific sensors and actuators will be needed to carry out the operation of the UAV. With these specific sensors and actuators, UAV can be used for many real applications, not only to carry cameras and taking pictures or movies. The proposal and use of new actuators on-board is of great interest in the robotics community. In this Special Issue, papers dealing with these problems will be welcome.

In this Special Issue proposal, potential topics include but are not limited to the following:

  • Simultaneous localization and mapping;
  • Visual odometry and visual-based navigation;
  • GPS-denied methods;
  • Cooperative navigation;
  • SCLAM (simultaneous control localization and mapping);
  • Control and state estimation for UAVs;
  • Trajectory tracking;
  • Tracking of dynamic targets;
  • 3D mapping;
  • Sensory system for flight control;
  • Sensors and actuators in UAV for applications.

Dr. Rodrigo Munguia
Dr. Antoni Grau
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 1400 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

  • Unmanned aerial vehicles
  • Drone
  • SLAM
  • Robot navigation
  • UAV control
  • Tracking
  • Visual odometry
  • Mapping
  • Sensors and actuators in UAV

Published Papers (2 papers)

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Research

Open AccessArticle
Rollover-Free Path Planning for Off-Road Autonomous Driving
Electronics 2019, 8(6), 614; https://doi.org/10.3390/electronics8060614 - 31 May 2019
Abstract
Perception, planning, and control are three enabling technologies to achieve autonomy in autonomous driving. In particular, planning provides vehicles with a safe and collision-free path towards their destinations, accounting for vehicle dynamics, maneuvering capabilities in the presence of obstacles, traffic rules, and road [...] Read more.
Perception, planning, and control are three enabling technologies to achieve autonomy in autonomous driving. In particular, planning provides vehicles with a safe and collision-free path towards their destinations, accounting for vehicle dynamics, maneuvering capabilities in the presence of obstacles, traffic rules, and road boundaries. Existing path planning algorithms can be divided into two stages: global planning and local planning. In the global planning stage, global routes and the vehicle states are determined from a digital map and the localization system. In the local planning stage, a local path can be achieved based on a global route and surrounding information obtained from sensors such as cameras and LiDARs. In this paper, we present a new local path planning method, which incorporates a vehicle’s time-to-rollover model for off-road autonomous driving on different road profiles for a given predefined global route. The proposed local path planning algorithm uses a 3D occupancy grid and generates a series of 3D path candidates in the s-p coordinate system. The optimal path is then selected considering the total cost of safety, including obstacle avoidance, vehicle rollover prevention, and comfortability in terms of path smoothness and continuity with road unevenness. The simulation results demonstrate the effectiveness of the proposed path planning method for various types of roads, indicating its wide practical applications to off-road autonomous driving. Full article
(This article belongs to the Special Issue Autonomous Navigation Systems for Unmanned Aerial Vehicles)
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Open AccessArticle
Active-Model-Based Control for the Quadrotor Carrying a Changed Slung Load
Electronics 2019, 8(4), 461; https://doi.org/10.3390/electronics8040461 - 25 Apr 2019
Cited by 2
Abstract
In this paper, a simple active-model-based control scheme is developed for the quadrotor slung load (QSL) system. The scheme works to improve the rejection of the influences caused by the abruptly changed load as a complementary enhancement while maintaining the structure and parameters [...] Read more.
In this paper, a simple active-model-based control scheme is developed for the quadrotor slung load (QSL) system. The scheme works to improve the rejection of the influences caused by the abruptly changed load as a complementary enhancement while maintaining the structure and parameters of the original controller. A linearized model is first constructed with respect to the hovering state of a quadrotor. Modeling error is then introduced to describe the uncertainties caused by the load change and the simplified model. The modeling error is actively estimated by a Kalman filter (KF), while the estimation is further integrated into a normal controller, to enhance its performance of disturbance rejection. Experiments are conducted on a quadrotor controlled by the Pixhawk, which is one of the most popular controllers commercially available on the market. The improvements of the proposed scheme are shown by the comparisons between the controls with and without the active-model-based enhancement. The experiments also indicate that, with its simple structure and less computational algorithm, this active-model-based enhancement would be a feasible approach to enhance the commercial UAV controller to handle more uncertainties. Full article
(This article belongs to the Special Issue Autonomous Navigation Systems for Unmanned Aerial Vehicles)
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