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Multi-Sensor Data Fusion

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

Deadline for manuscript submissions: 31 July 2024 | Viewed by 686

Special Issue Editor


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Guest Editor
Division of Intelligent Future Technologies, Mälardalen University, 721 23 Västerås, Sweden
Interests: machine learning; evolutionary computing; multi-sensor data fusion; reasoning with uncertainty; their applications in practical scenarios

Special Issue Information

Dear Colleagues,

Multi-sensor data fusion aims to synergistically combine data and information from multiple sensors and sources to achieve more accurate and specific inference than that which could be obtained by using a single sensor alone. It is a multidisciplinary area wherein various mathematical, signal processing, and artificial intelligence techniques are employed to analyze data and extract useful, coherent information about the underlying situation. In recent decades, research in sensor fusion has proliferated and become promising for many technical and engineering applications such as robotics and autonomous systems, process control, automated manufacturing, remote sensing, and sensor networks.

This Special Issue will showcase recent advances in the field of multi-sensor data and information fusion.

We expect that papers will tackle at least one of the following three aspects: architecture, methods and algorithms, and applications. Both fundamental papers exploring new methodologies and applied papers demonstrating new applications of sensor fusion are welcome. Topics of interest for this Special Issue include, but are not limited to, the following:

  • New system architecture and design paradigm;
  • Advanced signal and image processing;
  • Machine learning for sensor fusion;
  • Adaptive fusion techniques;
  • Multi-modal sensor fusion;
  • Uncertainty handling in fusion process;
  • Resource management and fusion process refinement;
  • Evaluation of fusion performance;
  • Applications to real-world problems.

Prof. Dr. Ning Xiong
Guest Editor

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 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 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.

Keywords

  • sensor fusion
  • fusion system architecture
  • signal
  • image
  • machine learning
  • multi-modal fusion
  • uncertainty
  • resource management
  • fusion performance

Published Papers (1 paper)

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Research

28 pages, 36717 KiB  
Article
Multi-Sensor Image and Range-Based Techniques for the Geometric Documentation and the Photorealistic 3D Modeling of Complex Architectural Monuments
by Alexandra Tsiachta, Panagiotis Argyrou, Ioannis Tsougas, Maria Kladou, Panagiotis Ravanidis, Dimitris Kaimaris, Charalampos Georgiadis, Olga Georgoula and Petros Patias
Sensors 2024, 24(9), 2671; https://doi.org/10.3390/s24092671 - 23 Apr 2024
Viewed by 498
Abstract
The selection of the optimal methodology for the 3D geometric documentation of cultural heritage is a subject of high concern in contemporary scientific research. As a matter of fact, it requires a multi-source data acquisition process and the fusion of datasets from different [...] Read more.
The selection of the optimal methodology for the 3D geometric documentation of cultural heritage is a subject of high concern in contemporary scientific research. As a matter of fact, it requires a multi-source data acquisition process and the fusion of datasets from different sensors. This paper aims to demonstrate the workflow for the proper implementation and integration of geodetic, photogrammetric and laser scanning techniques so that high-quality photorealistic 3D models and other documentation products can be generated for a complicated, large-dimensional architectural monument and its surroundings. As a case study, we present the monitoring of the Mehmet Bey Mosque, which is a landmark in the city of Serres and a significant remaining sample of the Ottoman architecture in Greece. The surveying campaign was conducted in the context of the 2022–2023 annual workshop of the Interdepartmental Program of Postgraduate Studies “Protection Conservation and Restoration of Cultural Monuments” of the Aristotle University of Thessaloniki, and it served as a geometric background for interdisciplinary cooperation and decision-making on the monument restoration process. The results of our study encourage the fusion of terrestrial laser scanning and photogrammetric datasets for the 3D modeling of the mosque, as they supplement each other as regards geometry and texture. Full article
(This article belongs to the Special Issue Multi-Sensor Data Fusion)
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