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

Date

Authors

Bishop, Adrian

Ristic, Branko

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

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 for

Keywords

Keywords: Bayesian filters; Likelihood functions; Localisation; Mathematical formalism; Modelling framework; Natural languages; Problem formulation; State space; Electrical engineering; Aerospace engineering

URI

http://hdl.handle.net/1885/77522

Collections

ANU Research Publications

Source

IEEE Transactions on Aerospace and Electronic Systems

Type

Journal article

DOI

10.1109/TAES.2013.6494390

Restricted until

2037-12-31

Downloads

File

Description

01_Bishop_Fusion_of_spatially_referring_2013.pdf (6.01 MB)