Schiffner Ingo, Perez Tristan, Srinivasan Mandyam V
Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia.
Elec. Eng. and Comp. Sc., Queensland University of Technology, Brisbane, QLD, Australia.
PLoS One. 2016 Sep 28;11(9):e0162435. doi: 10.1371/journal.pone.0162435. eCollection 2016.
We have investigated how birds avoid mid-air collisions during head-on encounters. Trajectories of birds flying towards each other in a tunnel were recorded using high speed video cameras. Analysis and modelling of the data suggest two simple strategies for collision avoidance: (a) each bird veers to its right and (b) each bird changes its altitude relative to the other bird according to a preset preference. Both strategies suggest simple rules by which collisions can be avoided in head-on encounters by two agents, be they animals or machines. The findings are potentially applicable to the design of guidance algorithms for automated collision avoidance on aircraft.
我们研究了鸟类在正面相遇时如何避免空中碰撞。使用高速摄像机记录了在隧道中相向飞行的鸟类的轨迹。对数据的分析和建模提出了两种简单的避免碰撞策略：（a）每只鸟向其右侧转向；（b）每只鸟根据预设偏好相对于另一只鸟改变其高度。这两种策略都提出了简单的规则，通过这些规则，两个主体（无论是动物还是机器）在正面相遇时都可以避免碰撞。这些发现可能适用于飞机自动防撞引导算法的设计。
