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题名: Identifying an odour source in fluid-advected environments, algorithms abstracted from moth-inspired plume tracing strategies
作者: Li W(李伟)
作者部门: 水下机器人研究室
关键词: biologically inspired searching strategy ; chemical plume tracing ; odour source localization ; olfaction-based navigation
刊名: APPLIED BIONICS AND BIOMECHANICS
ISSN号: 1176-2322
出版日期: 2010
卷号: 7, 期号:1, 页码:3-17
收录类别: SCI ; EI
产权排序: 1
摘要: This paper presents algorithms for identifying the odour source of a chemical plume with significant filament intermittency and meander developed in fluid-advected environments. The algorithms are abstracted from moth-inspired chemical plume tracing strategies in two steps. First, we introduce the concept of the last chemical detection points that leads to construction of a source identification zone and development of two variations in the source identification algorithms. Second, we use Monte Carlo methods to optimise the proposed algorithms in a simulated environment. The evaluation results demonstrate that the optimised algorithm achieves a success rate of over 90% in identifying the source location, the average identification time is 3-4 min and the average error is 1-2 m surrounding the source location.
语种: 英语
WOS记录号: WOS:000208348200002
WOS标题词: Science & Technology ; Technology
类目[WOS]: Engineering, Biomedical ; Robotics
研究领域[WOS]: Engineering ; Robotics
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/14597
Appears in Collections:水下机器人研究室_期刊论文

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Recommended Citation:
Li W. Identifying an odour source in fluid-advected environments, algorithms abstracted from moth-inspired plume tracing strategies[J]. APPLIED BIONICS AND BIOMECHANICS,2010,7(1):3-17.
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文件名: Identifying an odour source in fluid-advected environments, algorithms abstracted from moth-inspired plume tracing strategies.pdf
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