IECE - Institute of Emerging and Computer Engineers

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    • yfengb@163.com
    Academic Editor
    Author
    Contributions by role
    Author 2
    Editor 1
    ORCID
    0000-0002-9087-5796
    Fengbao Yang
    School of Information and Communication Engineering, North University of China, Taiyuan 030051, China
    Summary
    Fengbao Yang received his Ph.D. degree in measurement technology and instrument from North University of China, Taiyuan, China, in 2003. From 2004 to2007, he was a post-doctoral research fellow with the Beijing Institute of Technology. He is a full professor at North University of China. He is a Fellow of the information fusion branch of the China Society of Aeronautics and Astronautics. Now, he is the leader of the Institute of Information Fusion and Recognition Technology at the North University of China. He has published approximately 100 papers in the information fusion and image processing journals and eight books on uncertain information reasoning methods and infrared technology. His current research interests include information fusion, performance detection and evaluation of complex systems, and information fusion theory of uncertainty.
    Edited Journals
    Chinese Journal of Information Fusion
    IECE Contributions
    Articles
    2
    Edited
    1
    Free Access | Review Article | 30 September 2024
    Complex Evidence Theory for Multisource Data Fusion
    by
    Fuyuan Xiao
    ,
    Junhao Wen
    ,
    Witold Pedrycz
    ,
    Masayoshi Aritsugi
    Chinese Journal of Information Fusion | Volume 1, Issue 2: 134-159, 2024 | DOI:10.62762/CJIF.2024.999646
    Abstract
    Data fusion is a prevalent technique for assembling imperfect raw data coming from multiple sources to capture reliable and accurate information. Dempster–Shafer evidence theory is one of useful methodologies in the fusion of uncertain multisource information. The existing literature lacks a thorough and comprehensive review of the recent advances of Dempster– Shafer evidence theory for data fusion. Therefore, the state of the art has to be surveyed to gain insight into how Dempster–Shafer evidence theory is beneficial for data fusion and how it evolved over time. In this paper, we first provide a comprehensive review of data fusion methods based on Dempster–Shafer evidence theory an... More >
    Graphical Abstract
    Complex Evidence Theory for Multisource Data Fusion
    Free Access | Research Article | 27 September 2024
    A High-Efficiency Two-Layer Path Planning Method for UAVs in Vast Airspace
    by
    Tongyao Yang
    ,
    Fengbao Yang
    Chinese Journal of Information Fusion | Volume 1, Issue 2: 109-125, 2024 | DOI:10.62762/CJIF.2024.596648
    Abstract
    In response to the challenges associated with the inefficiency and poor quality of 3D path planning for Unmanned Aerial Systems (UAS) operating in vast airspace, a novel two-layer path planning method is proposed based on a divide-and-conquer methodology. This method segregates the solution process into two distinct stages: heading planning and path planning, thereby ensuring the planning of both efficiency and path quality. Firstly, the path planning phase is formulated as a multi-objective optimization problem, taking into account the environmental constraints of the UAV mission and path safety. Subsequently, the multi-dimensional environmental data is transformed into a two-dimensional pr... More >
    Graphical Abstract
    A High-Efficiency Two-Layer Path Planning Method for UAVs in Vast Airspace
    Author's Talk | Free Access | Research Article | Feature Paper | 28 May 2024 | Cited: 6
    A Mimic Fusion Algorithm for Dual Channel Video Based on Possibility Distribution Synthesis Theory
    by
    Xiaoming Guo
    ,
    Fengbao Yang
    ,
    Linna Ji
    Chinese Journal of Information Fusion | Volume 1, Issue 1: 33-49, 2024 | DOI:10.62762/CJIF.2024.361886
    Abstract
    In response to the current practical fusion requirements for infrared and visible videos, which often involve collaborative fusion of difference feature information, and model cannot dynamically adjust the fusion strategy according to the difference between videos, resulting in poor fusion performance, a mimic fusion algorithm for infrared and visible videos based on the possibility distribution synthesis theory is proposed. Firstly, quantitatively describe the various difference features and their attributes of the region of interest in each frame of the dual channel video sequence, and select the main difference features corresponding to each frame. Secondly, the pearson correlation coeffi... More >
    Graphical Abstract
    Author's Talk
    A Mimic Fusion Algorithm for Dual Channel Video Based on Possibility Distribution Synthesis Theory
    A Mimic Fusion Algorithm for Dual Channel Video Based on Possibility Distribution Synthesis Theory