Survey: Detection, recognition and source localization of odor

Ahmet Kuzu*, Seta Bogosyan, Metin Gokasan

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

3 Citations (Scopus)

Abstract

This study aims to provide a review for odor detection, recognition and source localization and ongoing approaches taken to address the problem. To this aim sensor structures and chemical detection process are introduced. Next, recognition techniques of odor from detected chemicals are explained. To introduce source localization problem the odor dynamics is introduced and models of odor diffusion mechanisms are discussed from different aspects. Next, forward and inverse problems for source location are defined and demonstrated in relation to several applications. A discussion of commonly utilized estimation methods to solve the localization problem in the literature is provided; Triangulation Method, Least Squares Method, Maximum Likelihood Method, PQS are briefly discussed. Finally, a case study for mobile odor tracking is presented with simulation results.

Original languageEnglish
Pages (from-to)611-621
Number of pages11
JournalWSEAS Transactions on Systems
Volume7
Issue number6
Publication statusPublished - Jun 2008

Keywords

  • Diffusion
  • Estimation
  • Odor
  • Plume source localization
  • PQS (Process Query System)
  • Tracking

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