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Research Topic : Road Safety
Field of Research : Signal Processing
Australian State/Territory : SA
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Signal Processing (4)
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  • Funded Activity

    Linkage Projects - Grant ID: LP140100252

    Funder
    Australian Research Council
    Funding Amount
    $361,087.00
    Summary
    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.
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    Funded Activity

    Linkage Projects - Grant ID: LP130100514

    Funder
    Australian Research Council
    Funding Amount
    $170,000.00
    Summary
    Safer roads through wireless communications. Each year, about 1,300 people die, and almost 30,000 are injured on Australian roads. Vehicle manufacturers are currently trialling innovative systems that will allow vehicles to wirelessly share their position and warn the driver of unsafe situations. This project will add new features to these systems, improving their safety benefits.
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    Funded Activity

    Linkage Projects - Grant ID: LP150100037

    Funder
    Australian Research Council
    Funding Amount
    $169,168.00
    Summary
    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.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP200301507

    Funder
    Australian Research Council
    Funding Amount
    $396,000.00
    Summary
    Collision Avoidance in Shipping Lanes via Intelligent Sensor Data Fusion . This project aims to develop an online maritime traffic monitoring system for reliable collision/contact avoidance that exploits complementary data from high-resolution airborne sensors and surface vessel sensors. Our approach is based on optimal scheduling and fusion of the sensor data and possibly other sources of data to construct a comprehensive dynamic picture of maritime traffic, in real-time. Moreover, the proposed .... Collision Avoidance in Shipping Lanes via Intelligent Sensor Data Fusion . This project aims to develop an online maritime traffic monitoring system for reliable collision/contact avoidance that exploits complementary data from high-resolution airborne sensors and surface vessel sensors. Our approach is based on optimal scheduling and fusion of the sensor data and possibly other sources of data to construct a comprehensive dynamic picture of maritime traffic, in real-time. Moreover, the proposed methodology enables quantification of confidence in the predictions. This will provide ship owners, directly to their vessels and/or at the fleet management centres, information such as weather reports, reliable collision/no-collision warnings and avoidance strategies, on-the-fly.
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