A Semantic-Based Gas Source Localization with a Mobile Robot Combining Vision and Chemical Sensing

A Semantic-Based Gas Source Localization with a Mobile Robot Combining Vision and Chemical Sensing

This paper addresses the localization of a gas emission source within a real-world human environment with a mobile robot. Our approach is based on an efficient and coherent system that fuses different sensor modalities (i.e., vision and chemical sensing) to exploit, for the first time, the semantic...

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Bibliographic Details
Main Authors: Javier Monroy, Jose-Raul Ruiz-Sarmiento, Francisco-Angel Moreno, Francisco Melendez-Fernandez, Cipriano Galindo, Javier Gonzalez-Jimenez
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Sensors
Subjects:
e-nose
electronic nose
gas sensor
mobile robot
gas source localization
semantics
uncertainty
sensor fusion
object recognition
MDP
Markov decision process
gas classification
Bayes
uncertainty propagation
Mobile Robot Olfaction
chemical sensors
Artificial Intelligence
Machine Learning
Online Access:https://www.mdpi.com/1424-8220/18/12/4174

Internet

https://www.mdpi.com/1424-8220/18/12/4174

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