The Australian naturalistic driving study: innovation in road safety research and policy. A revolutionary new approach, the naturalistic driving study, will investigate what people actually do when they drive, in normal and safety-critical situations. It will provide Australia with answers to some intractable, high priority, road safety problems that cannot be answered using current methods, thereby saving hundreds of lives.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100050
Funder
Australian Research Council
Funding Amount
$570,000.00
Summary
Integrated facility for recording driver and road user behaviour. The integrated facility will be used to record and analyse data on driver and road user behaviour, in normal and safety-critical situations, for thousands of Australian drivers. The data yielded will be used to develop new and improved countermeasures for reducing road deaths and serious injuries on Australian roads.
Enabling ambient intelligence for manufacturing processes through distributed camera networks. This project will develop methods to optimise and schedule networks of smart and traditional cameras in a manufacturing environment, enabling knowledge capture, manage performance and identify causes of quality degradation. This research will assist Australian manufacturers to stay competitive in the dynamic global market.
The anatomy of a fatigue-related motor vehicle crash or near-crash. The anatomy of a fatigue-related motor vehicle crash or near-crash. This project aims to investigate the time course of multiple physiological and behavioural signals that lead to fall-asleep (on-road) driving events, to inform the next generation of driver state monitoring technologies. Falling asleep at the wheel remains a major cause of road crashes worldwide. Although technologies to monitor driver sleepiness are integral to ....The anatomy of a fatigue-related motor vehicle crash or near-crash. The anatomy of a fatigue-related motor vehicle crash or near-crash. This project aims to investigate the time course of multiple physiological and behavioural signals that lead to fall-asleep (on-road) driving events, to inform the next generation of driver state monitoring technologies. Falling asleep at the wheel remains a major cause of road crashes worldwide. Although technologies to monitor driver sleepiness are integral to the rapidly evolving autonomous vehicle industry, such technologies are limited because they measure the end-state of falling asleep, rather than the physiological and behavioural precursors, thus providing little opportunity for intervention. This project is expected to lead to new driver monitoring systems that reduce fall-asleep crashes.Read moreRead less
Localization of a wireless transponder in a vehicular environment. This project aims to accurately localise passenger wireless devices, in particular the key fob, to improve theft security, passenger safety and user functionality. The objective of the project is to develop a communications band localisation system in a vehicular environment with 10-centimetre accuracy, both inside the vehicle cabin and near to the exterior of the vehicle. Accurate localisation of passenger wireless devices poses ....Localization of a wireless transponder in a vehicular environment. This project aims to accurately localise passenger wireless devices, in particular the key fob, to improve theft security, passenger safety and user functionality. The objective of the project is to develop a communications band localisation system in a vehicular environment with 10-centimetre accuracy, both inside the vehicle cabin and near to the exterior of the vehicle. Accurate localisation of passenger wireless devices poses a challenging research problem because of the severe multipath environment. An innovative solution based on time-difference-of-arrival methodologies, data fusion, sophisticated recursive filtering techniques and illumination scheduling will be investigated. The outcome is potentially applicable to other localisation scenarios degraded by multipath.Read moreRead less