Multimodal Data Fusion Technologies and Applications in Intelligent System

Dear Colleagues,

In many real-world systems, fusing data from different sensing modalities can facilitate inference and decision making, such as millimeter-wave radar, lidar, and camera data for autonomous driving; synthetic aperture radar (SAR), lidar, and satellite data for remote sensing; magnetic resonance (MR), X-ray, and ultrasound imaging data for medical applications; moisture, temperature, and chemical sensor data for environmental applications. While late-stage fusion, also known as decision fusion, techniques for multimodal data, such as majority voting, have been used for a long time and are attractive for their simplicity, they do not use the full potential of rich multimodal data. Hence, there is a growing need and interest in early-stage fusion techniques which can leverage the correlation between multimodal data to improve the quality of inference and decision making. Advances in software and hardware for machine learning, in particular deep neural networks, have been increasing the capacity of processing complex data, e.g., high-dimensional and heterogenous data from multimodal sources. Focusing on this timely topic of AI-enabled multimodal data fusion, in this Special Issue, we solicit articles presenting novel methods (architectures, algorithms) and applications.

Dr. Yasin Yılmaz
Dr. Mehmet Aktukmak
Dr. Keval Doshi
Dr. Yoganand Balagurunathan
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 submissions that pass pre-check are 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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized 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 2600 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.