Laboratory of Intelligent Systems, School of Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, CH-1015, Switzerland.
Department of Biology, Lund University, Lund, Sweden.
Sci Rep. 2018 Apr 11;8(1):5821. doi: 10.1038/s41598-018-24162-z.
Elementary Motion Detectors (EMD) are well-established models of visual motion estimation in insects. The response of EMDs are tuned to specific temporal and spatial frequencies of the input stimuli, which matches the behavioural response of insects to wide-field image rotation, called the optomotor response. However, other behaviours, such as speed and position control, cannot be fully accounted for by EMDs because these behaviours are largely unaffected by image properties and appear to be controlled by the ratio between the flight speed and the distance to an object, defined here as relative nearness. We present a method that resolves this inconsistency by extracting an unambiguous estimate of relative nearness from the output of an EMD array. Our method is suitable for estimation of relative nearness in planar scenes such as when flying above the ground or beside large flat objects. We demonstrate closed loop control of the lateral position and forward velocity of a simulated agent flying in a corridor. This finding may explain how insects can measure relative nearness and control their flight despite the frequency tuning of EMDs. Our method also provides engineers with a relative nearness estimation technique that benefits from the low computational cost of EMDs.
基础运动检测器 (EMD) 是昆虫视觉运动估计的成熟模型。EMD 的响应被调谐到输入刺激的特定时间和空间频率,这与昆虫对宽场图像旋转的行为反应相匹配,称为光运动反应。然而,其他行为,如速度和位置控制,不能完全用 EMD 来解释,因为这些行为在很大程度上不受图像特性的影响,似乎是由飞行速度和与物体的距离之间的比率控制的,在这里定义为相对接近度。我们提出了一种方法,通过从 EMD 阵列的输出中提取相对接近度的明确估计值来解决这一不一致性。我们的方法适用于平面场景中的相对接近度估计,例如在地面上方或大型平坦物体旁边飞行时。我们演示了在走廊中飞行的模拟代理的横向位置和前进速度的闭环控制。这一发现可能解释了昆虫如何在 EMD 频率调谐的情况下测量相对接近度并控制其飞行。我们的方法还为工程师提供了一种相对接近度估计技术,该技术受益于 EMD 的低计算成本。