Fusion of spatially referring natural language statements with random set theoretic likelihoods

Publication Type:
Journal Article
IEEE Transactions on Aerospace and Electronic Systems, 2013, 49 (2), pp. 932 - 944
Issue Date:
Full metadata record
Files in This Item:
Filename Description Size
06494390.pdfPublished Version6.15 MB
Adobe PDF
Localisation via the fusion of spatially referring natural language statements is considered here. The contribution lies in the underlying problem formulation and a robust modelling framework. Random-set-based estimation is the underlying mathematical formalism. Each statement generates a generalised likelihood function. A Bayesian filter is outlined that takes a sequence of likelihoods generated by multiple statements. The idea is to recursively build a map over the state space that can be used to infer the state. © 1965-2011 IEEE.
Please use this identifier to cite or link to this item: