Biorobotic Department, Institute of Movement Science, CNRS/Aix-Marseille II University, Marseille, France.
PLoS One. 2011 May 12;6(5):e19486. doi: 10.1371/journal.pone.0019486.
Flying insects use the optic flow to navigate safely in unfamiliar environments, especially by adjusting their speed and their clearance from surrounding objects. It has not yet been established, however, which specific parts of the optical flow field insects use to control their speed. With a view to answering this question, freely flying honeybees were trained to fly along a specially designed tunnel including two successive tapering parts: the first part was tapered in the vertical plane and the second one, in the horizontal plane. The honeybees were found to adjust their speed on the basis of the optic flow they perceived not only in the lateral and ventral parts of their visual field, but also in the dorsal part. More specifically, the honeybees' speed varied monotonically, depending on the minimum cross-section of the tunnel, regardless of whether the narrowing occurred in the horizontal or vertical plane. The honeybees' speed decreased or increased whenever the minimum cross-section decreased or increased. In other words, the larger sum of the two opposite optic flows in the horizontal and vertical planes was kept practically constant thanks to the speed control performed by the honeybees upon encountering a narrowing of the tunnel. The previously described ALIS ("AutopiLot using an Insect-based vision System") model nicely matches the present behavioral findings. The ALIS model is based on a feedback control scheme that explains how honeybees may keep their speed proportional to the minimum local cross-section of a tunnel, based solely on optic flow processing, without any need for speedometers or rangefinders. The present behavioral findings suggest how flying insects may succeed in adjusting their speed in their complex foraging environments, while at the same time adjusting their distance not only from lateral and ventral objects but also from those located in their dorsal visual field.
飞行昆虫利用光流在不熟悉的环境中安全导航,尤其是通过调整速度和与周围物体的距离。然而,昆虫用来控制速度的光流场的具体部分尚未确定。为了回答这个问题,我们训练自由飞行的蜜蜂沿着一条专门设计的隧道飞行,这条隧道包括两个连续的逐渐变窄的部分:第一部分在垂直平面上变窄,第二部分在水平平面上变窄。研究发现,蜜蜂根据它们感知到的光流来调整速度,不仅在视野的侧面和腹侧部分,而且在背侧部分。更具体地说,蜜蜂的速度取决于隧道的最小横截面,而与变窄发生在水平还是垂直平面无关。只要最小横截面减小或增大,蜜蜂的速度就会相应减小或增大。换句话说,由于蜜蜂在遇到隧道变窄时进行了速度控制,两个相反的水平和垂直平面的光流的较大总和实际上保持不变。前面描述的 ALIS(“基于昆虫视觉系统的 AutopiLot”)模型很好地匹配了目前的行为发现。ALIS 模型基于反馈控制方案,该方案解释了蜜蜂如何仅通过光流处理就可以保持其速度与隧道的最小局部横截面成比例,而无需使用速度计或测距仪。目前的行为发现表明,飞行昆虫如何成功地在复杂的觅食环境中调整速度,同时不仅调整与侧面和腹侧物体的距离,还调整与位于其背侧视野中的物体的距离。