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Special Issue "Learning-Based Multi-Sensor Data Fusion for Mobile Robots"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors and Robotics".

Deadline for manuscript submissions: closed (31 August 2021).

Special Issue Editors

Dr. Sergio Rodriguez
E-Mail Website
Guest Editor
SATIE Laboratory CNRS Joint Research Unit, UMR 8029, Paris-Saclay University, 91190 Gif-sur-Yvette, France
Interests: multisensor data fusion; mobile perception; intelligent transportation systems
Special Issues, Collections and Topics in MDPI journals
Dr. Julien Moreau
E-Mail Website
Guest Editor
Heudiasyc UMR-CNRS 7253, Université de Technologie de Compiègne, Compiègne, France
Interests: vision for mobile robotics; autonomous vehicles; multimodal perception and sensors; deep learning; visual odometry and VSLAM; stereovision
Prof. Vincent Frémont
E-Mail Website
Guest Editor
Ecole Centrale de Nantes, LS2N-CNRS, Nantes, France
Interests: robotic vision; machine learning; multi-sensor data fusion; visio-inertial SLAM; autonomous vehicles
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Traditional and unconventional sensors technologies are being continuously improved, as are processing algorithms. Despite this, autonomous robots' and vehicles' perceptions are still imperfect in degraded and unexpected situations.
Sensor fusion is the key to robust perception in most cases, to benefit from sweet spots of complementary modalities.
Machine learning is currently being applied to process data of any type with state-of-the-art results; one step further is to leverage the mix of modalities with artificial intelligence.

This Issue aims to encourage the publication of i) innovative methods applied to artificial intelligence-based data fusion to multi-sensor perception systems and ii) new interacting frameworks facilitating the integration of deep learning solutions and multi-sensor-based perception systems for autonomous robots.
Particular attention will be paid to contributions providing experimental validation of full-scale mobile robotic systems.

AI-based data fusion methods applied to multi-sensor systems composed of the following:

  • Projective cameras;
  • Event-based cameras;
  • Light-field camera (also known as plenoptic cameras);
  • Infrared and thermal cameras;
  • Polarimetric cameras;
  • LiDAR;
  • Radar;
  • Inertial sensors (IMU);
  • 3D Maps (GIS).

Dr. Sergio Rodriguez
Dr. Julien Moreau
Prof. Vincent Frémont
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at 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. Sensors 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 2400 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.


  • multi-sensor data fusion
  • artificial intelligence
  • deep learning
  • mobile robotics
  • unconventional sensors

Published Papers

There is no accepted submissions to this special issue at this moment.
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