Special Research Initiatives - Grant ID: SR0354726
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
NETVISION: AUSTRALIA'S NATIONAL VISION RESEARCH NETWORK. Vision is the most important human sense. Visual malfunctions pose major health challenges. Vision provides a window into the brain, for studying perception, cognition and consciousness. It is integral to human cultural and social development. It provides opportunities for technological advances in diagnostics, artificial vision, robotics, and surveillance. Vision is therefore crucial to three of the National Priority Areas. The National V ....NETVISION: AUSTRALIA'S NATIONAL VISION RESEARCH NETWORK. Vision is the most important human sense. Visual malfunctions pose major health challenges. Vision provides a window into the brain, for studying perception, cognition and consciousness. It is integral to human cultural and social development. It provides opportunities for technological advances in diagnostics, artificial vision, robotics, and surveillance. Vision is therefore crucial to three of the National Priority Areas. The National Vision Network will create a coherent, interactive and innovative research base in the vision sciences, linked to end-users in areas ranging from the art, entertainment and fashion industries, through health and education, to border protection and counter-terrorism.Read moreRead less
Autonomous Functions for Smart Cars. The aim of this project is to develop autonomous functions for smart cars, such as lane departure warning, driver fatigue warning, and automatic lane following. Every year 70,000 people are killed in road accidents, 95% of which can be attributed to driver error. The potential outcomes of this project therefore significant. Many of the theoretical methods required for this project have been developed by our group. However, further theoretical refinements fo ....Autonomous Functions for Smart Cars. The aim of this project is to develop autonomous functions for smart cars, such as lane departure warning, driver fatigue warning, and automatic lane following. Every year 70,000 people are killed in road accidents, 95% of which can be attributed to driver error. The potential outcomes of this project therefore significant. Many of the theoretical methods required for this project have been developed by our group. However, further theoretical refinements followed by experimental verification is necessary. For smart cars to be accepted, the systems must be demonstrated to be reliable and to operate in a wide range of conditions.Read moreRead less