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.
Integrated Planning for Uncertainty-Centric Pilot Assistance Systems. This project aims to deliver a novel pilot assistance system to improve the viability, speed and safety of Helicopter Emergency Medical Services (HEMS) and Search and Rescue (SAR) missions. It will advance fundamental algorithms for probabilistic planning in partially observable scenarios to form the core technology of a pilot assistance system that accounts the various types of uncertainty faced by pilots in a typical HEMS/S ....Integrated Planning for Uncertainty-Centric Pilot Assistance Systems. This project aims to deliver a novel pilot assistance system to improve the viability, speed and safety of Helicopter Emergency Medical Services (HEMS) and Search and Rescue (SAR) missions. It will advance fundamental algorithms for probabilistic planning in partially observable scenarios to form the core technology of a pilot assistance system that accounts the various types of uncertainty faced by pilots in a typical HEMS/SAR missions. It will exploit recent advances in Partially Observable Markov Decision Processes (POMDPs) to recommend robust, safe, and pilot-aware mission and manoeuvring strategies to make HEMS/SAR operations safer for helicopter crews, and more effective for those in need of the service.Read moreRead less
Protecting Critical Transport Infrastructure using Hybrid Approaches for Interference and Spoofer Detection and Localisation. Modern infrastructure increasingly relies on the positioning and timing capabilities provided by the Global Navigation Satellite Systems (GNSS). GNSS signals, however, are vulnerable to interference and spoofing attacks. This vulnerability is aggravated as satellite navigation becomes more central to the operation of airports, ports, railways, and communications systems. ....Protecting Critical Transport Infrastructure using Hybrid Approaches for Interference and Spoofer Detection and Localisation. Modern infrastructure increasingly relies on the positioning and timing capabilities provided by the Global Navigation Satellite Systems (GNSS). GNSS signals, however, are vulnerable to interference and spoofing attacks. This vulnerability is aggravated as satellite navigation becomes more central to the operation of airports, ports, railways, and communications systems. Building on from earlier work by University of New South Wales, University of Adelaide and GPSat Systems, this project aims to create a system for locating interference and spoofers to GNSS of any power in real time, providing layered monitoring and reactive mitigation solutions against interference and spoofing attacks.Read moreRead less
New Technologies for Second Generation Search and Rescue. This project aims to improve the Cospas-Sarsat search and rescue system to ensure faster, more reliable, more accurate, and more cost-effective search and rescue operations, ultimately saving lives. The satellite-based Cospas-Sarsat system has assisted with the emergency rescue of more than 35 000 lives worldwide since its introduction in 1982. A second generation of this system is currently under development, promising to significantly i ....New Technologies for Second Generation Search and Rescue. This project aims to improve the Cospas-Sarsat search and rescue system to ensure faster, more reliable, more accurate, and more cost-effective search and rescue operations, ultimately saving lives. The satellite-based Cospas-Sarsat system has assisted with the emergency rescue of more than 35 000 lives worldwide since its introduction in 1982. A second generation of this system is currently under development, promising to significantly improve detection rate and localisation accuracy. However, in an emergency, the system’s performance is often compromised due to interference and atmospheric effects, leading to false detections that waste valuable resources. This project aims to develop novel techniques to improve this performance.Read moreRead less
Temporal and spatial Bayesian network modelling for improved fog forecasting. This project aims to improve the accuracy of fog forecasting by explicitly modelling the spatial and temporal uncertainties surrounding fog formation. It is expected weather forecast services will adopt our approach to improve their predictions of fog, which will in turn help transport companies save costs, cut emissions and improve safety.
New real-time risk indicators to improve the efficiency, environmental impact and safety of air traffic management. Air-traffic demand is constantly rising, and Australia is responsible for the management of 11 per cent of the world's airspace. This project aims to develop risk indicators which will enable us to monitor air-safety risks on a constantly updated basis.
Adaptive scenario generation and performance evaluation for virtual training of helicopter pilots. Helicopters are widely used for operations such as remote transport, surveying, search and rescue and medical evacuation. 76 helicopter fatalities were recorded in Australia over the last decade. This project will develop effective pilot training methods, delivered through virtual simulation, to improve aviation safety.