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Scalable Gas Sensing, Mapping, and Path Planning via Decentralized Hilbert Maps

Scalable Gas Sensing, Mapping, and Path Planning via Decentralized Hilbert Maps

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c8ece7b8571949cc80beec239a264369

Scalable Gas Sensing, Mapping, and Path Planning via Decentralized Hilbert Maps

About this item

Full title

Scalable Gas Sensing, Mapping, and Path Planning via Decentralized Hilbert Maps

Publisher

Switzerland: MDPI

Journal title

Sensors (Basel, Switzerland), 2019-03, Vol.19 (7), p.1524

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI

More information

Scope and Contents

Contents

This paper develops a decentralized approach to gas distribution mapping (GDM) and information-driven path planning for large-scale distributed sensing systems. Gas mapping is performed using a probabilistic representation known as a Hilbert map, which formulates the mapping problem as a multi-class classification task and uses kernel logistic regr...

Alternative Titles

Full title

Scalable Gas Sensing, Mapping, and Path Planning via Decentralized Hilbert Maps

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_c8ece7b8571949cc80beec239a264369

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c8ece7b8571949cc80beec239a264369

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s19071524

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