Title
Gas source localization with a micro-drone using bio-inspired and particle filter-based algorithms.
Abstract
Gas source localization (GSL) with mobile robots is a challenging task due to the unpredictable nature of gas dispersion, the limitations of the currents sensing technologies, and the mobility constraints of ground-based robots. This work proposes an integral solution for the GSL task, including source declaration. We present a novel pseudo-gradient-based plume tracking algorithm and a particle filter-based source declaration approach, and apply it on a gas-sensitive micro-drone. We compare the performance of the proposed system in simulations and real-world experiments against two commonly used tracking algorithms adapted for aerial exploration missions.
Year
DOI
Venue
2013
10.1080/01691864.2013.779052
ADVANCED ROBOTICS
Keywords
Field
DocType
autonomous micro UAV,chemical and wind sensing,gas source localization,particle filter
Particle filter,Algorithm,Control engineering,Source localization,Drone,Engineering,Robot,Mobile robot
Journal
Volume
Issue
ISSN
27
SP9
0169-1864
Citations 
PageRank 
References 
33
1.70
8
Authors
5