Discovery Early Career Researcher Award - Grant ID: DE210100790
Funder
Australian Research Council
Funding Amount
$419,308.00
Summary
Understanding how the brain combines sensory information. The ease with which we perceive the external world belies the complexity involved in integrating different sensory inputs. How does the brain achieve this fundamental operation? The project will address this question using a multidisciplinary approach that combines computational modelling, brain imaging, and psychophysical techniques. The expected outcomes of the project are a better understanding of how people perceive the world through ....Understanding how the brain combines sensory information. The ease with which we perceive the external world belies the complexity involved in integrating different sensory inputs. How does the brain achieve this fundamental operation? The project will address this question using a multidisciplinary approach that combines computational modelling, brain imaging, and psychophysical techniques. The expected outcomes of the project are a better understanding of how people perceive the world through optimal integration of sensory cues. In addition to advancing basic scientific knowledge, the findings will illuminate perceptual anomalies in normally developing children and will provide a foundation for reducing a debilitating side effect of virtual reality systems known as ‘cybersickness’.Read moreRead less
Biologically-inspired detection, pursuit and interception of moving objects by unmanned aircraft systems. Although it is well known that aggressive honeybees are very effective at detecting, pursuing and intercepting moving targets, this behaviour has never been studied quantitatively. This project will use high-speed video cinematography to investigate this behaviour, to develop visual algorithms for the detection of moving targets, and to create dynamical models of the mechanisms that control ....Biologically-inspired detection, pursuit and interception of moving objects by unmanned aircraft systems. Although it is well known that aggressive honeybees are very effective at detecting, pursuing and intercepting moving targets, this behaviour has never been studied quantitatively. This project will use high-speed video cinematography to investigate this behaviour, to develop visual algorithms for the detection of moving targets, and to create dynamical models of the mechanisms that control pursuit. The resulting algorithms will be incorporated into unmanned aerial vehicles for detecting, monitoring and tracking other objects in the sky, and their performance will be evaluated. The results will provide a better understanding of the biological basis of pursuit behaviour, as well as lead to novel technologies for aerial surveillance and safety.Read moreRead less
Strategies for mid-air collision avoidance in aircraft: lessons from bird flight. Birds seldom collide with each other and other objects, despite the high speeds at which they fly in complex environments. This project will examine how birds sense and avoid impending collisions, and will use these results to design novel strategies for the detection and avoidance of aircraft mid-air collisions.