2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) 2019
DOI: 10.1109/isoen.2019.8823396
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Development of 3D gas source localization using multi-copter with gas sensor array

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Cited by 9 publications
(7 citation statements)
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“…Fan et al [192] use an array of commercial MOS sensors equipped with a mobile robot to collect different chemical odors in hazardous areas in both indoor and outdoor environments. Takei et al [193] show an experimental study of 3D gas source positioning using a quadrotor drone with a semiconductor gas sensor array. Aerial robots equipped with gas sensors can be used to detect a wide range of hazardous chemicals.…”
Section: Mobile E-nose Systemsmentioning
confidence: 99%
“…Fan et al [192] use an array of commercial MOS sensors equipped with a mobile robot to collect different chemical odors in hazardous areas in both indoor and outdoor environments. Takei et al [193] show an experimental study of 3D gas source positioning using a quadrotor drone with a semiconductor gas sensor array. Aerial robots equipped with gas sensors can be used to detect a wide range of hazardous chemicals.…”
Section: Mobile E-nose Systemsmentioning
confidence: 99%
“…There are two types of optical sensors-intrinsic and extrinsic optical sensors, which could both detect the existence of gaseous compounds and measure their information about scattering, polarization, refractive index and other data. As shown in Figure 5, the gas sensor is a kind of converter composed of silicon substrate and conductive polymer coating, which could convert a certain gas volume fraction into corresponding electrical signal [11]. It has the advantages of high sensitivity, easy synthesis, short delay and so on.…”
Section: Previously Proposed Design Of E-nosementioning
confidence: 99%
“…In recent years, some scholars have attempted to use drone clusters to solve the problem of the location of odor sources (Takei et al, 2019; Wang et al, 2021; Zhao et al, 2021). They have performed in‐depth research on the application of algorithms for the search of odor sources by robots (Perez‐Carabaza et al, 2018; Hu et al, 2013).…”
Section: Introductionmentioning
confidence: 99%