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多传感器信息融合 专刊 - 北理工学报英文版

已有 797 次阅读 2021-11-16 11:42 |个人分类:科研笔记|系统分类:论文交流

Call for Papers

Special Issue on

Multi-sensor Information Fusion

图片




In the last two decades, research on multi-sensor information fusion has burgeoned with the prosperity of wireless sensor networks and multi-sensor systems, where the information from different sensors, as well as various apriori knowledges, is integrated to support better decision. A multi-sensor networked system is composed of a number of cost-effective sensors (a.k.a. agents) with limited sensing, computing and communication capabilities which, however, enjoys the advantages in terms of low power consumption and simple installation with high performance and strong reliability. In the core of most multi-sensor/networked systems are the multi-sensor information fusion technology for various purposes such as sensor registration and control, network consensus and collaboration, network topological design/analysis, resource allocation and management, and so on. In addition, understanding how the system performs and evolves from the information-theoretic perspective is also important and derives relevant theoretical studies. This is often critical in the regard of many important problems such as managing a limited number of sensors for the best field-of-view coverage in motion monitoring, tackling the intrinsic interactions/failures of local sensors, trade-off between performance and computing/communication resources, to name just a few. These problems are imperative but also challenging for which various theories, techniques and algorithms are continuously being proposed and developed, but it is still calling for more research efforts and endeavors. 

This Special Issue of Journal of Beijing Institute of Technology aims at collecting high-quality papers within the general research field of multi-sensor information fusion. All original research papers, as well as survey/review/tutorial papers, on the following and relevant topics are welcome. 

● Multi-sensor Kalman filtering, multi-sensor particle filtering, multi-sensor multi-scale filtering

● Multi-sensor random finite set (RFS) approaches, e.g., Arithmetic average RFS filtering

 Multi-sensor (multiple) target detection, tracking, recognition and classification

● Networked radar, radar network, radar signal fusion and enhancement

● Wireless netted sensor registration, synchronization, control, and management

● Resource-aware management for multi-sensor systems

● Average consensus based on wireless sensor network

● Massage passing, belief propagation, factor graphs

● Multi-agent system-based filtering and control

● Distributed and networked control systems

● Networked autonomous vehicles, Formation/containment control

● Multi-sensor possibility theory and reasoning methods

● Bayesian networks, multi-sensor neural network

● Multi-sensor data clustering, learning and inference

● Secure fusion estimation and decision


All submissions will be peer reviewed according to the Journal of Beijing Institute of Technology guidelines. The contributions should be original and have not been published or submitted elsewhere.

Manuscript should be submitted online via https://mc03.manuscriptcentral.com/jbit in the classification “202206-Multi-sensor Information Fusion”. Prospective authors may consult the site http://journal.bit.edu.cn/jbit for more information for submission.



Submission deadline: July 15, 2022; 

Publication date: December 25, 2022



Guest Editors

Tiancheng Li, Professor, Northwestern Polytechnical University, Xi’an, China

( t.c.li@nwpu.edu.cn)

Bo Chen, Professor, Zhejiang University of Technology, Hangzhou, China, 

(bchen@zjut.edu.cn)

Shenghua Zhou, Professor, Xidian University, Xi’an, China

(shzhou@mail.xidian.edu.cn)

Enbin Song, Professor, Sichuan University, Chengdu, China

(ebsong@scu.edu.cn)

Xingshuai Qiao, Postdoc, Tsinghua University, Beijing, China

( Qiaoxs@mail.tsinghua.edu.cn)



本刊被以下国际数据库检索收录:

Engineering Index(Ei Compendex,USA)
Scopus(Sco,Netherlands)
Chemical Abstracts(CA,USA)
Science Abstracts(SA,UK)
Abstract Journal(AJ,Russia)
Cambridge Scientific Abstracts(CSA,USA)
Mathematical Reviews(MR,USA)
Zbl Math(ZM,Germany)


本刊被以下国内数据库检索收录:


中国知网cnki
万方数据
维普资讯
世纪超星





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