Special Issue "Vision-Based SLAM Techniques for Mobile Robots"

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

Deadline for manuscript submissions: 30 November 2021.

Special Issue Editors

Prof. Dr. Oscar Reinoso García
E-Mail Website
Guest Editor
Department of Systems Engineering and Automation, Miguel Hernández University, 03202 Elche, Spain
Interests: computer vision; robotics; cooperative robotics
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Arturo Gil Aparicio
E-Mail Website
Guest Editor
Department of Systems Engineering and Automation, Miguel Hernández University, 03202 Elche, Spain
Interests: mobile robotics; computer vision

Special Issue Information

Dear Colleagues,

Mobile robots are rapidly becoming an important part of today’s society. They are being deployed in an increasing number of applications that require navigation capabilities in dynamic and complex environments. In order to navigate autonomously, SLAM techniques must be employed to possess a precise map that describes the environment in absence of any previous information. Visual SLAM focuses on the construction of these maps using only information provided by one or several cameras.

This Special Issue is aimed at publishing novel solutions in the field of vision-based SLAM. We focus our interest on manuscripts that thoroughly describe new vision-based SLAM algorithms that are able to produce accurate results in highly unstructured and dynamic environments. In addition, new methods that provide ways to efficiently process the visual stream and extract significant information from the scenario will be gladly received. Further, we seek to publish papers that would deepen knowledge of the different levels of semantic description of any map. Finally, we expect to receive original papers that delve into the applications of machine learning techniques to visual SLAM, including, for example, convolutional neural networks and/or deep neural networks that, for example, may add robustness to the data association processes involved.

State-of-the-art reviews that present a thorough overview of the existing techniques and methods inside the field of vision-based SLAM will also be considered for publication, provided that they are able to compare the presented solutions in a common and experimental ground using publicly available data.

Prof. Dr. Oscar Reinoso García
Prof. Dr. Arturo Gil Aparicio
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 semimonthly 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 1800 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.


  • New algorithms for vision-based SLAM
  • Visual odometry
  • Monocular SLAM
  • Semantic SLAM
  • Topological SLAM
  • Visual loop-closure detection
  • Visual features for image-based and landmark-based SLAM
  • Indoor/outdoor visual SLAM applications

Published Papers

This special issue is now open for submission.
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