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Deqiang Han
Xi'an Jiaotong University, China
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ICCK Contributions

Open Access | Research Article | 07 December 2024
Basic Belief Assignment Determination Based on Radial Basis Function Network
Chinese Journal of Information Fusion | Volume 1, Issue 3: 175-182, 2024 | DOI: 10.62762/CJIF.2024.841250
Abstract
In Dempster-Shafer evidence theory (DST), the determination of basic belief assignment (BBA) is an important yet challenging issue before the evidence fusion. The rational mass determination of compound focal elements is crucial for fully taking advantage of DST, i.e., the ability to represent the ambiguity. In this paper, for the compound focal elements, we select and construct the compound-class samples with ambiguous class membership. Then, we use these samples to construct an end-to-end model called Evidential Radial Basis Function Network (E-RBFN), with the input as the sample and the output as the corresponding BBA. The E-RBFN can directly determine the mass values for all focal elemen... More >

Graphical Abstract
Basic Belief Assignment Determination Based on Radial Basis Function Network

Open Access | Research Article | 27 September 2024 | Cited: 2
A High-Efficiency Two-Layer Path Planning Method for UAVs in Vast Airspace
Chinese Journal of Information Fusion | Volume 1, Issue 2: 109-125, 2024 | DOI: 10.62762/CJIF.2024.596648
Abstract
Facing the challenges of low efficiency and poor quality in UAV 3D path planning within large-scale airspace complex environments, this paper introduces a divide-and-conquer approach, proposing a dual-layer path planning method based on multi-source information fusion. The method decomposes traditional path planning into two steps: heading planning and trajectory planning, ensuring both planning efficiency and path quality. 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 in... More >

Graphical Abstract
A High-Efficiency Two-Layer Path Planning Method for UAVs in Vast Airspace