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A human-centric eXplainable Automated Vehicle. The aim is to create a computational model to address the inability of Automated Vehicles (AV), powered by Artificial intelligence, to self explain their behaviours. This project applies novel multidisciplinary methodologies in a real-world self-driving setting to formalise the essence of driving explanations. It explores the when, why and how a driver is seeking an explanation and what type of automated explanation is truly human-interpretable. Exp ....A human-centric eXplainable Automated Vehicle. The aim is to create a computational model to address the inability of Automated Vehicles (AV), powered by Artificial intelligence, to self explain their behaviours. This project applies novel multidisciplinary methodologies in a real-world self-driving setting to formalise the essence of driving explanations. It explores the when, why and how a driver is seeking an explanation and what type of automated explanation is truly human-interpretable. Expected outcomes include the discovery of an acceptable, transparent and ethical explanation system that helps humans to understand the AVs decision making. This field will continue to rise in prominence and produce much-needed work to improve the widespread adoption of AVs.Read moreRead less
Integrated optical phased arrays for light detection and ranging (LIDAR). This project aims to resolve challenging problems in light detection and ranging (LIDAR) to enable realisation of LIDAR sensors with low-power consumption, small size, high resolution and low cost. It proposes new techniques for integrated silicon photonic beam-steering to reduce the Size, Weight, and Power (SWaP), and achieve high-resolution beams with hardware reduction. Outcomes herald disruptive, compact on-chip LIDAR ....Integrated optical phased arrays for light detection and ranging (LIDAR). This project aims to resolve challenging problems in light detection and ranging (LIDAR) to enable realisation of LIDAR sensors with low-power consumption, small size, high resolution and low cost. It proposes new techniques for integrated silicon photonic beam-steering to reduce the Size, Weight, and Power (SWaP), and achieve high-resolution beams with hardware reduction. Outcomes herald disruptive, compact on-chip LIDAR technology for various applications including secure communications, miniaturized sensing, tracking systems, and autonomous vehicles. Significant benefits include industry growth, safeguarding Australia, and major economic benefits underpinning a huge market encompassing autonomous vehicles and robotics.
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Industrial Transformation Training Centres - Grant ID: IC160100032
Funder
Australian Research Council
Funding Amount
$3,024,379.00
Summary
ARC Training Centre in Lightweight Automotive Structures. ARC Training Centre in Lightweight Automotive Structures. This training centre aims to train a cohort of industry-focused researchers and to develop new lightweighting technologies, which are key to reducing carbon dioxide (CO2 emissions in transportation. In partnership with domestic and international companies and universities, this centre intends to develop new lightweight materials, advanced manufacturing processes, energy storage des ....ARC Training Centre in Lightweight Automotive Structures. ARC Training Centre in Lightweight Automotive Structures. This training centre aims to train a cohort of industry-focused researchers and to develop new lightweighting technologies, which are key to reducing carbon dioxide (CO2 emissions in transportation. In partnership with domestic and international companies and universities, this centre intends to develop new lightweight materials, advanced manufacturing processes, energy storage designs, and rapid non-destructive evaluation techniques. The intended outcome is to accelerate the transformation of Australia's automotive industry—now facing unprecedented structural adjustment—from vehicle production to export of design and engineering services, high-value products, and novel technology solutions.Read moreRead less
Design of new two-dimensional materials for lithium sulphur batteries. Design of new two-dimensional materials for lithium sulphur batteries. This project aims to develop classes of electrode material systems for high performance batteries. This project will design new hierarchical cathode composites for a high capacity lithium-sulphur battery with a long cycling life. It intends to improve energy density by confining active sulphur in conductive graphene and exfoliated titanium dioxide nanoshee ....Design of new two-dimensional materials for lithium sulphur batteries. Design of new two-dimensional materials for lithium sulphur batteries. This project aims to develop classes of electrode material systems for high performance batteries. This project will design new hierarchical cathode composites for a high capacity lithium-sulphur battery with a long cycling life. It intends to improve energy density by confining active sulphur in conductive graphene and exfoliated titanium dioxide nanosheets, and use a unique hybrid protecting layer to suppress cycling instability. This research is expected to establish the relationship between synthetic conditions, structure, and electrochemical performance.Read moreRead less
Automated Integrity Assessment of Self-Piercing Rivet Joints: i4.0 Approach. Lightweighting in the car industry by the use of aluminium reduces emissions substantially. It entails joining the car body sections by self-piercing rivets rather than the traditional spot welds. We aim to fill the technology gap for effective quality control of these joints. The project expects to solve the problem by merging industry 4.0 principles, three-dimensional X-ray technology, machine learning computer vision ....Automated Integrity Assessment of Self-Piercing Rivet Joints: i4.0 Approach. Lightweighting in the car industry by the use of aluminium reduces emissions substantially. It entails joining the car body sections by self-piercing rivets rather than the traditional spot welds. We aim to fill the technology gap for effective quality control of these joints. The project expects to solve the problem by merging industry 4.0 principles, three-dimensional X-ray technology, machine learning computer vision and structural mechanics. The expected outcomes are technologies for automation-friendly assessment of these joints. This should benefit industries from medical to electronics to automatically spot a random and delicate abnormality within a solid of complex geometry, such as that in live tissue or an electronic circuit.Read moreRead less
Damage Tolerance Approach in Designing and Maintaining Truck Trailers. This project aims to develop a damage tolerance approach in designing and maintaining truck trailers. Combined with field test and computational simulation, machine learning will be used to generate loading spectrums. Following the damage tolerance philosophy, a mature approach in aerospace industry, the fatigue crack growth and the fatigue life will be predicted. In addition, structural optimisation will be applied in traile ....Damage Tolerance Approach in Designing and Maintaining Truck Trailers. This project aims to develop a damage tolerance approach in designing and maintaining truck trailers. Combined with field test and computational simulation, machine learning will be used to generate loading spectrums. Following the damage tolerance philosophy, a mature approach in aerospace industry, the fatigue crack growth and the fatigue life will be predicted. In addition, structural optimisation will be applied in trailer design. This project expects to revolutionize the design and maintenance practices in Australian truck trailer industry. It should provide significant benefits, such as prolonging the life cycle of truck trailers, reducing the tare weight and increasing operating profit, to both trailer producers and users.Read moreRead less
Electromagnetically Interconnected Suspension for Electrified Vehicles . This project aims to develop an innovative, electromagnetically interconnected suspension system to enhance vehicle ride comfort, stability and handling dynamics, and thus safety of electrified vehicles. Specifically, the project integrates a set of novel electromagnetic shock absorbers to form an effective electrical network so as to realise an electromagnetically interconnected suspension system. Advanced integrated con ....Electromagnetically Interconnected Suspension for Electrified Vehicles . This project aims to develop an innovative, electromagnetically interconnected suspension system to enhance vehicle ride comfort, stability and handling dynamics, and thus safety of electrified vehicles. Specifically, the project integrates a set of novel electromagnetic shock absorbers to form an effective electrical network so as to realise an electromagnetically interconnected suspension system. Advanced integrated control techniques can then be applied to improve vehicle performance and dynamics in three planes. The project will assist the rapid development of transportation electrification. The outcomes from this project will lead to tangible improvements in vehicle comfort and safety.Read moreRead less
Innovative Magnetorheological Powertrains for Electric Heavy Duty Vehicles. An electric vehicle powertrain mainly consists of an electric motor-driven system, a mechanical transmission and other components. This project aims to explore innovative powertrains with a regenerative braking function to maximise driving range, reduce power consumption, and enhance the dynamic performance of electrified vehicles. The proposed powertrains are expected to achieve seamless gear changing for driving and be ....Innovative Magnetorheological Powertrains for Electric Heavy Duty Vehicles. An electric vehicle powertrain mainly consists of an electric motor-driven system, a mechanical transmission and other components. This project aims to explore innovative powertrains with a regenerative braking function to maximise driving range, reduce power consumption, and enhance the dynamic performance of electrified vehicles. The proposed powertrains are expected to achieve seamless gear changing for driving and better braking performance by applying magnetorheological technology for a high-quality control of power-shifting, and therefore significantly improve vehicle dynamic and economic performance. A new era of high-efficiency electric powertrains could potentially be launched through the development of these novel technologies.Read moreRead less
Nanoparticles with structures that mimic enzymes for electrocatalysis. This project aims to create a new class of electrocatalysts with architectures inspired by enzymes. Electrocatalysts are the backbone of the modern energy economy. In the new electrocatalysts developed by the project, the intention is the active sites will be spatially separated from the bulk solution by nanopores, as enzymes do. This architecture allows the reaction environment to be altered from the bulk solution, active tr ....Nanoparticles with structures that mimic enzymes for electrocatalysis. This project aims to create a new class of electrocatalysts with architectures inspired by enzymes. Electrocatalysts are the backbone of the modern energy economy. In the new electrocatalysts developed by the project, the intention is the active sites will be spatially separated from the bulk solution by nanopores, as enzymes do. This architecture allows the reaction environment to be altered from the bulk solution, active transport of species to the active site and cascade reactions to be performed. This should give advantages in activity, selectivity and the ability to perform multistep reactions. The intended outcomes are better performing hydrogen fuel cells and more effective conversion of carbon dioxide into useful organic compounds.Read moreRead less
Approximate algorithms and architectures for area efficient system design. This project aims to develop simpler but reliable image recognition systems that can run on low-cost, small-scale platforms, for use in driver monitoring system (DMS) applications. Cheaper reliable DMS will lead to wider availability of this technology to end users and improve safety of motor vehicles. This project will develop approximate algorithmic and circuit techniques, provide training for research students and buil ....Approximate algorithms and architectures for area efficient system design. This project aims to develop simpler but reliable image recognition systems that can run on low-cost, small-scale platforms, for use in driver monitoring system (DMS) applications. Cheaper reliable DMS will lead to wider availability of this technology to end users and improve safety of motor vehicles. This project will develop approximate algorithmic and circuit techniques, provide training for research students and build capability in the area of approximate computing. It is also expected to lead to commercial products, licences and revenue, which will enable new job creation.
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