Vision-based autonomous micro-air-vehicle control for odor source localization

Kurotsuchi, Kenzo; Tai, Masayuki; Takahashi, Hiromasa

doi:10.1109/m2vip.2016.7827276

Cited by 6 publications

(2 citation statements)

References 16 publications

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“…Hue colour value ranges from 0 to 255, indicating a colour gradient from red (highest concentration) to blue (lowest concentration). Hence, R i,t was interpolated to the range of Hue i,t colour value, as stated in equation (5).…”

Section: Chemical Plume Propagation Modelsmentioning

confidence: 99%

A Chemical/Gas Plume Tracing Robot Simulator for Quadrotor Platforms: A Modified Gaussian-Meandering Plume Propagation Model

Yap

2019

MJCS

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The process of evaluating the performance of chemical/gas plume tracing (CPT) algorithms is difficult because of real-world environmental parameters (i.e. surrounding wind) that are beyond researchers’ control, therefore, a CPT simulator can be useful. In this study, we design a modified Gaussian-meandering plume propagation model that is enhanced with the realistic characteristics of plume propagation such as meandering, internal intermittency, and vortices, which have not been modelled in the previous studies before. Subsequently, we use a computational fluid dynamics (CFD) software to generate the three-dimensional (3D) wind vectors and study the impact of quadrotor’s propellers, and then incorporating into the plume propagation design. On the whole, the study presented a complete CPT simulator for quadrotor platform with the realistic characteristics of plume propagation.

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Section: Chemical Plume Propagation Modelsmentioning

confidence: 99%

A Chemical/Gas Plume Tracing Robot Simulator for Quadrotor Platforms: A Modified Gaussian-Meandering Plume Propagation Model

Yap

2019

MJCS

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“…As gas sensors are improved, new safety systems and disease-detection systems are being designed using gas sensors [2,3]. This paper is an extension of work originally presented in 2016 23rd International Conference on Mechatronics and Machine Vision in Practice (M2VIP 2016) [4]. We challenged to discover issues and consider countermeasures for constructing a danger warning system to enable a safer and more secure system utilizing autonomous odor source localization by experiments.…”

Section: Introductionmentioning

confidence: 99%