An Inverse Differential Game Approach to Modelling Bird Mid-Air Collision Avoidance Behaviours
Timothy L Molloy, Grace S Garden, Tristan Perez, Ingo Schiffner, Debajyoti Karmaker, Mandyam V Srinivasan
IFAC PAPERSONLINE | ELSEVIER SCIENCE BV | Published : 2018
In this paper, we investigate an inverse differential game approach to modelling the mid-air collision avoidance behaviours of birds. We propose a general method for estimating the cost-functional parameters of a noncooperative differential game from partial-state measurements of an open-loop Nash equilibrium. We apply the method to data of birds performing mid-air collision avoidance. Our analysis suggests that a differential game model provides a close description of the observed bird behaviours, and could provide new insights for the design of collision avoidance strategies for unmanned aircraft.
Awarded by Australian Research Council Linkage Project
This work was conducted under the Australian Research Council Linkage Project LP130100483 with the support of Boeing Research and Technology Australia.