Design of adaptive learning visual sensor networks for crowd modelling in high-density and occluded scenarios. Partnering University of Melbourne researchers, with video surveillance experts SenSen, engineering consultants ARUP and the Melbourne Cricket Club, the project addresses research enabling a system-integrating, existing surveillance, infrastructure to model crowd behaviour and exit strategies, providing real-time analysis, prediction and response capabilities for venue managers and emer ....Design of adaptive learning visual sensor networks for crowd modelling in high-density and occluded scenarios. Partnering University of Melbourne researchers, with video surveillance experts SenSen, engineering consultants ARUP and the Melbourne Cricket Club, the project addresses research enabling a system-integrating, existing surveillance, infrastructure to model crowd behaviour and exit strategies, providing real-time analysis, prediction and response capabilities for venue managers and emergency services. This new capability enhances utilisation of security resources to prevent injury and fatalities in evacuation scenarios, applicable to existing venues and influencing the development of new facilities around the country. The project delivers researcher training, global clientele for local technology and a platform for local industry growth.Read moreRead less
Fuzzy modelling and design of complex networked systems. This project aims to develop analysis and synthesis approaches for non-linear networked control systems, including modelling, stability analysis and design problems. The non-linear effects and analysis of networked control systems have received considerable attention because of the universal existence of nonlinearities in practice. Network-based non-linear systems are widely used but face problems from non-linearities and networks. This pr ....Fuzzy modelling and design of complex networked systems. This project aims to develop analysis and synthesis approaches for non-linear networked control systems, including modelling, stability analysis and design problems. The non-linear effects and analysis of networked control systems have received considerable attention because of the universal existence of nonlinearities in practice. Network-based non-linear systems are widely used but face problems from non-linearities and networks. This project will establish a software-based nonlinear networked control system platform to test the presented algorithms and strengthen the scenarios in applications. This project is expected to increase Australian excellence in cyber-security and advanced manufacturing.Read moreRead less
Supporting Responses To Commonwealth Science Council Priorities - Grant ID: CS170100008
Funder
Australian Research Council
Funding Amount
$209,346.00
Summary
Deployment of artificial intelligence and what it presents for Australia. This project aims to explore the opportunities, risks and consequences of broad uptake of artificial intelligence (AI) and to collate evidence on the economics, social perspectives, research capabilities and environmental impacts. As AI becomes more advanced, its applications will become increasingly complex in applications in homes, workplaces and cities. Taking an interdisciplinary approach to explore the opportunities, ....Deployment of artificial intelligence and what it presents for Australia. This project aims to explore the opportunities, risks and consequences of broad uptake of artificial intelligence (AI) and to collate evidence on the economics, social perspectives, research capabilities and environmental impacts. As AI becomes more advanced, its applications will become increasingly complex in applications in homes, workplaces and cities. Taking an interdisciplinary approach to explore the opportunities, risks and benefits of AI, this project will examine the economic, social, ethical and cultural aspects of deployment and will present a set of key findings to guide and support policy making over the next decade.Read moreRead less
Mechanisms of learning at the interface between perception and action. Using the latest in brain imaging and simulator technology, this project will advance understanding of how experience shapes the visual centres of our brain. It will also support partnerships with construction, mining and health services by developing real and virtual machine interfaces and tools to enhance the outcome of simulator-based training.