Scalable probabilistic gas distribution mapping using Gaussian belief propagation

This paper advocates the Gaussian belief propagation solver for factor graphs in the case of gas distribution mapping to support an olfactory sensing robot. The local message passing of belief propagation moves away from the standard Cholesky decomposition technique, which avoids solving the entire...

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Bibliographic Details
Main Authors: Callum Rhodes, Cunjia Liu, Wen-Hua Chen
Format: Default Conference proceeding
Published: 2022
Subjects:
Three-dimensional displays
Scheduling algorithms
Computational modeling
Fires
Robot sensing systems
Inference algorithms
Sensors
Online Access:https://hdl.handle.net/2134/20748046.v1
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