Visual versus visual-inertial guidance in hawks pursuing terrestrial targets

The aerial interception behaviour of falcons is well modelled by a guidance law called proportional navigation, which commands steering at a rate proportional to the angular rate of the line-of-sight from predator to prey. Because the line-of-sight rate is defined in an inertial frame of reference,...

Full description

Saved in:
Bibliographic Details
Published inJournal of the Royal Society interface Vol. 20; no. 203; p. 20230071
Main Authors Kempton, James A, Brighton, Caroline H, France, Lydia A, KleinHeerenbrink, Marco, Miñano, Sofia, Shelton, James, Taylor, Graham K
Format Journal Article
LanguageEnglish
Published England The Royal Society 14.06.2023
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:The aerial interception behaviour of falcons is well modelled by a guidance law called proportional navigation, which commands steering at a rate proportional to the angular rate of the line-of-sight from predator to prey. Because the line-of-sight rate is defined in an inertial frame of reference, proportional navigation must be implemented using visual-inertial sensor fusion. By contrast, the aerial pursuit behaviour of hawks chasing terrestrial targets is better modelled by a mixed guidance law combining information on the line-of-sight rate with information on the deviation angle between the attacker's velocity and the line-of-sight. Here we ask whether this behaviour may be controlled using visual information alone. We use high-speed motion capture to record = 228 flights from = 4 Harris' hawks , and show that proportional navigation and mixed guidance both model their trajectories well. The mixed guidance law also models the data closely when visual-inertial information on the line-of-sight rate is replaced by visual information on the motion of the target relative to its background. Although the visual-inertial form of the mixed guidance law provides the closest fit, all three guidance laws provide an adequate phenomenological model of the behavioural data, whilst making different predictions on the physiological pathways involved.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Present address: The Alan Turing Institute, London NW1 2DB, UK.
Present address: Advanced Research Computing Centre, University College London, Gower Street, London WC1E 6BT, UK.
ISSN:1742-5662
1742-5689
1742-5662
DOI:10.1098/rsif.2023.0071