Abstract
Chemical plume tracking (CPT) technology is the mean of tracking the flow of specific chemical plume in the air, to locate the source. Nowadays, CPT technology, for instance, a micro-drone based chemical plume tracking robot, has great potential in identifying hidden explosives, illegal drugs and blood for police and military purposes. However, environmental factors such as obstacles on site can change the wind vectors will cause inconsistent odor plume propagation. With most of the previous work conducted from numerous researchers carried out in empty open space, this paper studies the influence of obstacles on site towards CPT’s performance, which the simulation focus in one specific environment, a tree farm, with different density of trees or trees’ spacing. For this paper, we developed a 3D gas dispersion simulator with mobile robot olfaction (MRO) capability. Through the simulation, correlation between the impacts of tree farm density factor to CPT’s performance is found out, where higher tree density (or smaller tree spacing distance) can significantly reduce the performance of CPT. This study is an important fundamental contribution for drone’s CPT operation in agriculture application beneficial to future use, such as smell tracking of mature fruits in tree farm.
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Acknowledgements
This work was supported by the Sunway Internal Grant Scheme (Grant No: INT-FST-CIS-2016-03) at Sunway University, Malaysia.
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Eu, K.S., Yap, K.M., Tan, W.C. (2017). A Simulation Study of Micro-Drone Chemical Plume Tracking Performance in Tree Farm Environments. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2017. Lecture Notes in Computer Science(), vol 10645. Springer, Cham. https://doi.org/10.1007/978-3-319-70010-6_24
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DOI: https://doi.org/10.1007/978-3-319-70010-6_24
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