Multisensor Fusion: Latest Advances and Prospects

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

Deadline for manuscript submissions: closed (15 May 2025) | Viewed by 1044

Special Issue Editors


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Guest Editor
Department of Information Technology, Takming University of Science and Technology, Taipei City 11451, Taiwan
Interests: blockchain; cloud database; fusion; Internet of Things (IoT); wireless sensor networks (WSNs)
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung City 411030, Taiwan
Interests: AIoT; wireless sensor network; SOC and microcontroller design; RFID; complex curve and curved surface design
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

First and foremost, the scope of the call for papers for this Special Issue is to study how wireless sensor networks transfer sensing data to front-end integrated data center units for fusion of sensing data. When the system completes the fusion of sensing data, the system will transmit the processed data to the entire system data processing center for encapsulation of blockchain algorithms or other data encryption and security methods. Of course, any multi-sensor data fusion is within the scope of our Special Issue call for papers. In addition, when the sensing data is fused, how to transmit the data and how to ensure data security also encompass the research scope of our Special Issue call for papers.

Prof. Dr. Sung-Jung Hsiao
Prof. Dr. Wen-Tsai Sung
Guest Editors

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Keywords

  • multisensor fusion
  • sensor networks
  • artificial intelligence
  • cloud computing
  • internet of things

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Published Papers (1 paper)

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Research

21 pages, 901 KiB  
Article
Multi-Sensor Information Fusion for Mobile Robot Indoor-Outdoor Localization: A Zonotopic Set-Membership Estimation Approach
by Yanfei Zhu, Xuanyu Fang and Chuanjiang Li
Electronics 2025, 14(5), 867; https://doi.org/10.3390/electronics14050867 - 21 Feb 2025
Cited by 1 | Viewed by 738
Abstract
This paper investigates the localization of mobile robots in both indoor and outdoor scenarios. A zonotopic set-membership approach is proposed to fuse global navigation satellite system and odometry data outdoors, and 2D laser and odometry data indoors. Seamless switching between indoor and outdoor [...] Read more.
This paper investigates the localization of mobile robots in both indoor and outdoor scenarios. A zonotopic set-membership approach is proposed to fuse global navigation satellite system and odometry data outdoors, and 2D laser and odometry data indoors. Seamless switching between indoor and outdoor scene localization is achieved through a comparison of the current global navigation satellite system signal’s covariance with a predefined threshold in the proposed approach. Firstly, the robot’s position information is characterized using the odometry model, and the set containing the true state of the robot is updated to obtain the current updated zonotope. In addition, the global navigation satellite system or laser observation equations are described as a strip region and intersected with the prediction zonotope to obtain the feasible set of the states. Choosing the zonotope with the smallest volume from a family that encompasses the intersection of the two serves as the outer boundary for the intersection, enabling the determination of the precise position. The algorithm proposed in this paper can estimate the position state of the mobile robot to achieve accurate localization. To validate the proposed approach, relevant data are presented in the simulation results and discussion. Full article
(This article belongs to the Special Issue Multisensor Fusion: Latest Advances and Prospects)
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