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Communication Dans Un Congrès Année : 2018

2CoBel : An Efficient Belief Function Extension for Two-dimensional Continuous Spaces

Résumé

—This paper introduces an innovative approach for handling 2D compound hypotheses within the Belief Function Theory framework. We propose a polygon-based generic representation which relies on polygon clipping operators. This approach allows us to account in the computational cost for the precision of the representation independently of the cardinality of the discernment frame. For the BBA combination and decision making, we propose efficient algorithms which rely on hashes for fast lookup, and on a topological ordering of the focal elements within a directed acyclic graph encoding their interconnections. Additionally, an implementation of the functionalities proposed in this paper is provided as an open source library. Experimental results on a pedestrian localization problem are reported. The experiments show that the solution is accurate and that it fully benefits from the scalability of the 2D search space granularity provided by our representation.
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Dates et versions

hal-01790286 , version 1 (11-05-2018)

Identifiants

Citer

Nicola Pellicanò, Sylvie Le Hégarat-Mascle, Emanuel Aldea. 2CoBel : An Efficient Belief Function Extension for Two-dimensional Continuous Spaces. 21st International Conference on Information Fusion (FUSION), Jul 2018, Cambridge, United Kingdom. ⟨10.23919/icif.2018.8455783⟩. ⟨hal-01790286⟩
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