Development of an Intelligent Perception System for Electric Brakes. Electric braking is a vital component of the drive by-wire systems whose development is currently being supported worldwide by many automobile manufacturers. The aim of this project is to contribute to the development of an efficient fully functional electrically operated braking system. The main focus is on development of the intelligent perceptual sensors required for optimum performance of a by-wire braking system (to be com ....Development of an Intelligent Perception System for Electric Brakes. Electric braking is a vital component of the drive by-wire systems whose development is currently being supported worldwide by many automobile manufacturers. The aim of this project is to contribute to the development of an efficient fully functional electrically operated braking system. The main focus is on development of the intelligent perceptual sensors required for optimum performance of a by-wire braking system (to be commercialised by 2007). This project will also facilitate the development of professional courses for by-wire technology. Such courses will play a crucial role in maintaining the competitiveness of the Australian car component industry as by-wire technology emerges.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101181
Funder
Australian Research Council
Funding Amount
$403,775.00
Summary
Information Fusion for Tracking Objects in Large-Scale Sensor Network. This project aims to develop a mathematical framework to combine multi-modal information coming from multiple sensors. These mobile sensors will be spatially distributed over a large-scale area for the purpose of multi-object tracking. The main application of this framework is for cooperative perception for intelligent decision making. Expected outcomes include a novel technique to integrate receiving information from multipl ....Information Fusion for Tracking Objects in Large-Scale Sensor Network. This project aims to develop a mathematical framework to combine multi-modal information coming from multiple sensors. These mobile sensors will be spatially distributed over a large-scale area for the purpose of multi-object tracking. The main application of this framework is for cooperative perception for intelligent decision making. Expected outcomes include a novel technique to integrate receiving information from multiple mobile agents (e.g. vehicle) to enhance their ability to anticipate situations in dynamic environments and to act effectively to enhance safety. This should provide benefits for the development of cooperative autonomous driving to enhance road safety.Read moreRead less
Data Fusion Techniques for Electro-Mechanical Braking Systems. The main focus of this project is to develop data fusion techniques for clamp force estimation and optimum utilisation of redundant information in a brake-by-wire system. Efficient integration of redundant information in an EMB system is expected to significantly improve the reliability and fault tolerance of such systems. The need for costly and complicated clamp force measurement sensors in electric callipers will also be eliminate ....Data Fusion Techniques for Electro-Mechanical Braking Systems. The main focus of this project is to develop data fusion techniques for clamp force estimation and optimum utilisation of redundant information in a brake-by-wire system. Efficient integration of redundant information in an EMB system is expected to significantly improve the reliability and fault tolerance of such systems. The need for costly and complicated clamp force measurement sensors in electric callipers will also be eliminated by accurate estimation of the clamp force signal, through fusion of more readily available measurements. Development of the proposed data fusion techniques influences the design of future EMBs and enhances the functionality of existing brake-by-wire systems.Read moreRead less
Compositional determination of liquefied petroleum gas: Improving engine cold start performance in multipoint LPG-injected engines. Unlike gasoline, the composition of liquefied petroleum gas (LPG) is subject to change depending on a variety of factors including reservoir location and local market pricing. During normal automotive multipoint injection engine operation, closed loop feedback from engine sensors allows the effects of the compositional variations to be overcome and the engine to ope ....Compositional determination of liquefied petroleum gas: Improving engine cold start performance in multipoint LPG-injected engines. Unlike gasoline, the composition of liquefied petroleum gas (LPG) is subject to change depending on a variety of factors including reservoir location and local market pricing. During normal automotive multipoint injection engine operation, closed loop feedback from engine sensors allows the effects of the compositional variations to be overcome and the engine to operate close to optimal levels. However during cold start, the feedback sensors are not operational, and engine performance may deteriorate due to unknown fuel composition - in the worst case the engine may not start at all. This project aims to develop unique methods of estimating the composition of LPG based on existing sensor information to improve performance during cold start.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
Cognitive Radars for Automobiles. Automobile radar systems are an important technology for improving road safety by providing advanced driver warnings in vehicles. Though such devices currently exist in practice there is no guarantee that they will operate successfully when deployed on a mass scale in every vehicle given the limited allocated frequency spectrum. The spectral interference due to radar access becomes a major issue when several radars operate in a confined bandwidth simultaneously, ....Cognitive Radars for Automobiles. Automobile radar systems are an important technology for improving road safety by providing advanced driver warnings in vehicles. Though such devices currently exist in practice there is no guarantee that they will operate successfully when deployed on a mass scale in every vehicle given the limited allocated frequency spectrum. The spectral interference due to radar access becomes a major issue when several radars operate in a confined bandwidth simultaneously, potentially leading to a complete system failure during mass deployment. This project will conduct fundamental research intended to enable dynamic spectrum accessing in automobile radars and redesign the radar systems in the form of sequence and waveform designs to suit requirements.Read moreRead less
Convex optimisation for control, signal processing and communication systems. Renewable control of complex systems, signal processing, telecommunication and in general any industries interested in these applications stand to benefit from our research. In particular, the automotive and defence industries stand to benefit from the nonlinear control design aspect of the proposed project outcomes. The
telecommunications industries, on the other hand, benefit from the signal processing and communicat ....Convex optimisation for control, signal processing and communication systems. Renewable control of complex systems, signal processing, telecommunication and in general any industries interested in these applications stand to benefit from our research. In particular, the automotive and defence industries stand to benefit from the nonlinear control design aspect of the proposed project outcomes. The
telecommunications industries, on the other hand, benefit from the signal processing and communications aspects. We also build a core expertise in optimisation and its applications in Australia by training PhD students and Postdoctoral researchers. The research collaborations will cement and maintain the international linkages which will improve applied research in AustraliaRead moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120102210
Funder
Australian Research Council
Funding Amount
$350,333.00
Summary
Feedback control as a tool for enhanced neuroprosthetic stimulation. The aim is to use control theory tools to find optimal stimulation parameters to use in a bionic implant. This project will lead to improvements in understanding of mechanisms underlying electrical stimulation and to improvements in medical bionics technologies.
Continuous wave excitation for low power Magnetic Resonance Imaging. This project aims to augment the capabilities of Magnetic Resonance Imaging (MRI) systems, using continuous wave (CW) transmission and signal reception, to image objects using very low excitation power. Any given MRI sequence tries to solve an inverse problem, involving estimation of some subset of hidden states and parameters of the system, given the observed data. Using transient and steady-state CW magnetisation dynamics to ....Continuous wave excitation for low power Magnetic Resonance Imaging. This project aims to augment the capabilities of Magnetic Resonance Imaging (MRI) systems, using continuous wave (CW) transmission and signal reception, to image objects using very low excitation power. Any given MRI sequence tries to solve an inverse problem, involving estimation of some subset of hidden states and parameters of the system, given the observed data. Using transient and steady-state CW magnetisation dynamics to solve inverse problems is expected to advance technology toward lower power, lower cost solutions for MRI scanners in healthcare and industrial applications, including materials science and mineral processing.Read moreRead less
New entropy measures of short term signals for smart wearable devices. This project aims to improve reliability and accuracy of wearable devices by developing a new set of computationally efficient algorithms. Wearable devices can be very effective in remote and continuous monitoring to detect short or bursty anomalous events. Present devices are unable to detect such events effectively due to limited capability in processing short length signal. This project will provide computationally efficie ....New entropy measures of short term signals for smart wearable devices. This project aims to improve reliability and accuracy of wearable devices by developing a new set of computationally efficient algorithms. Wearable devices can be very effective in remote and continuous monitoring to detect short or bursty anomalous events. Present devices are unable to detect such events effectively due to limited capability in processing short length signal. This project will provide computationally efficient algorithms for signal quality analysis and enhanced feature extraction methods in resource constrained wearable devices. This will improve the reliability and performance of wearable devices for adoption in intelligent decision-making systems.Read moreRead less