Comparative analysis of sensor noise for target detection in dragonfly eyes

蜻蜓眼睛目标检测传感器噪声对比分析

• 批准号: DP240101673
• 负责人: A/Prof Steven Wiederman
• 金额: $ 37.48万
• 依托单位: The University of Adelaide
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2024
• 资助国家: 澳大利亚
• 起止时间: 2024-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP240101673
• 关键词: Comparative; analysis; sensor; noise; target

Dragonflies hunt tiny prey in the low-light conditions of late dusk, a signal-to-noise problem that challenges any engineered system. Using a comparative approach across dragonfly species, we aim to use novel optical and physiological measures to determine how sensors with noise underlie target-detection, in varying scene brightness. The project outcomes will be a comparative characterisation of signal-to-noise measures of dragonfly eye optics (including eye size) and early sensory neurons. We will match detection thresholds with downstream target-detecting neurons and dragonfly behaviour. This will provide insight into signal detection, which is a ubiquitous problem across information processing, computer vision and autonomous systems.

蜻蜓在黄昏的低光条件下捕食微小的猎物，这是一个挑战任何工程系统的信噪比问题。使用跨物种的比较方法，我们的目标是使用新的光学和生理措施，以确定如何传感器与噪声的基础目标检测，在不同的场景亮度。该项目的成果将是一个比较表征的信噪比措施的单眼光学（包括眼睛的大小）和早期感觉神经元。我们将检测阈值与下游目标检测神经元和神经元行为相匹配。这将提供对信号检测的深入了解，这是信息处理，计算机视觉和自主系统中普遍存在的问题。