An insect-inspired model for acquiring views for homing
An insect-inspired model for acquiring views for homing
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一种受昆虫启发的模型，用于获取归巢视图
DOI：
10.1007/s00422-019-00800-1
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发表时间：
2019
影响因子：
1.9
通讯作者：
Stürzl
中科院分区：
文献类型：
--
作者：
Schulte;Stürzl
黄蜂和蜜蜂在第一次离开巢穴或食物地点时会进行学习飞行，在此期间它们获得视觉信息，使它们能够成功返回。在这里，我们提出并测试了一组简单的控制规则，这些规则是执行学习飞行的基础，这些规则非常模仿地面筑巢黄蜂的飞行。在最简单的模型中，我们假设从昆虫的位置看到的飞行方向和巢穴方向之间的角度是恒定的，并且只有当围绕巢穴的旋转方向改变时才会翻转符号，从而导致分段定义的对数螺线的串联。然后，我们添加了真实学习飞行的特征，例如头部扫视和视野内的巢入口几乎保持恒定的条件，以描述以头部为中心的参考系中学习飞行的发展，假设巢的视网膜位置已知。我们最终基于一小组视觉控制规则实现了学习飞行的闭环模拟。该模型的视觉输入是根据自然黄蜂筑巢地点的 3D 重建生成的渲染视图，并且视网膜巢位置通过简单的基于模板的跟踪来控制。我们证明，在不知道到巢穴的绝对距离或飞行速度的情况下，可以生成自然路径。此外，我们还证明，在此类模拟学习飞行期间记录的巢标记视图足以让寻航代理通过在遇到熟悉视图时识别巢方向来精确定位目标。我们讨论了如何将学习靠近巢穴的飞行过程中获得的信息与远程寻的模型相结合。
Wasps and bees perform learning flights when leaving their nest or food locations for the first time during which they acquire visual information that enables them to return successfully. Here we present and test a set of simple control rules underlying the execution of learning flights that closely mimic those performed by ground-nesting wasps. In the simplest model, we assume that the angle between flight direction and the nest direction as seen from the position of the insect is constant and only flips sign when pivoting direction around the nest is changed, resulting in a concatenation of piecewise defined logarithmic spirals. We then added characteristic properties of real learning flights, such as head saccades and the condition that the nest entrance within the visual field is kept nearly constant to describe the development of a learning flight in a head-centered frame of reference, assuming that the retinal position of the nest is known. We finally implemented a closed-loop simulation of learning flights based on a small set of visual control rules. The visual input for this model are rendered views generated from 3D reconstructions of natural wasp nesting sites, and the retinal nest position is controlled by means of simple template-based tracking. We show that naturalistic paths can be generated without knowledge of the absolute distance to the nest or of the flight speed. We demonstrate in addition that nest-tagged views recorded during such simulated learning flights are sufficient for a homing agent to pinpoint the goal, by identifying nest direction when encountering familiar views. We discuss how the information acquired during learning flights close to the nest can be integrated with long-range homing models.
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影响因子：
2.8
作者：
Lobecke, Anne;Kern, Roland;Egelhaaf, Martin
通讯作者：
Egelhaaf, Martin
DOI：
10.1098/rspb.1993.0056
发表时间：
1993-05-22
影响因子：
4.7
作者：
COLLETT, TS;LEHRER, M
通讯作者：
LEHRER, M
影响因子：
2.8
作者：
Robert, Theo;Frasnelli, Elisa;Collett, Thomas S.
通讯作者：
Collett, Thomas S.
走向狂野：走向视觉信息处理的生态
DOI：
10.1101/087969819.49.381
发表时间：
2007
期刊：
Cold Spring Harbor Monograph Archive
影响因子：
--
作者：
J. Zeil;N. Boeddeker;J. Hemmi;W. Stürzl
通讯作者：
W. Stürzl
学习飞行过程中光流的控制
DOI：
10.1007/s003590050024
发表时间：
1996
期刊：
Journal of Comparative Physiology A
影响因子：
--
作者：
J. Zeil
通讯作者：
J. Zeil