Data association in multi-target detection using the transferable belief model

DOI10.1002/int.1054zbMath0988.68170OpenAlexW2020526086MaRDI QIDQ2762279

André Ayoun, Philippe Smets

Publication date: 22 July 2002

Published in: International Journal of Intelligent Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/int.1054

zbMATH Keywords

transferable belief model

Mathematics Subject Classification ID

Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items

Evidential Data Association Filter ⋮ Analyzing the degree of conflict between bodies of evidence based on a new distance in data fusion ⋮ Analyzing the degree of conflict among belief functions ⋮ Logic based merging ⋮ The geometry of consonant belief functions: simplicial complexes of necessity measures ⋮ Fusion of symbolic knowledge and uncertain information in robotics ⋮ The unnormalized Dempster's rule of combination: A new justification from the least commitment principle and some extensions ⋮ Fusion: General concepts and characteristics ⋮ Fusion: General concepts and characteristics ⋮ In memoriam: Philippe Smets (1938--2005) ⋮ In memoriam: Philippe Smets (1938--2005)

Cites Work

• The transferable belief model
• Situation assessment based on spatially ambiguous multisensor measurements
• The correlation problem in sensor fusion in a possibilistic framework
• Fusion of symbolic knowledge and uncertain information in robotics
• Robust data fusion for multisensor detection systems
• Application of the transferable belief model to diagnostic problems

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