Website
http://dataportal.arc.gov.au/NCGP/API/grants/FT140101229
Funding Status
Closed
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Funded Activity Summary
Superhuman place recognition with a unified model of human visual processing and rodent spatial memory. Current robotic and personal navigation systems leave much to be desired; GPS only works in open outdoor areas, lasers are expensive and cameras are highly sensitive to changing environmental conditions. In contrast, nature has evolved superb navigation systems. This project aims to solve the challenging problem of place recognition, a key component of navigation, by modelling the visual recognition skills of humans and the rodent spatial memory system. This project looks to combine the best understood and most capable components of place recognition in nature to create a whole more capable than its parts, produce advances in robotic and personal navigation technology and lead to breakthroughs in understandings of the brain.Funded Activity Details
Start Date: 06-2015
End Date: 12-2019
Funding Scheme: ARC Future Fellowships
Funding Amount: $676,174.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Adaptive Agents and Intelligent Robotics | Neurosciences not elsewhere classified | Computer Vision | Artificial Intelligence and Image Processing
ANZSRC Socio-Economic Objective (SEO)
Expanding Knowledge in the Information and Computing Sciences | Expanding Knowledge in the Medical and Health Sciences |
