1–11 von 11 Ergebnissen
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    Thermal Impedance Computation of a SiC Power Module for Traction Inverter in Electric Vehicle Applications

    Mauromicale, Giuseppe / Sitta, Alessandro / Rundo, Francesco et al. | IEEE | 2023
    . In general, this is important in order to determine the real thermal behavior of the system and, consequently, to forecast the application ...

    Intelligent Saliency-based Deep Pedestrian Tracking System for Advanced Driving Assistance

    Rundo, Francesco / Leotta, Roberto / Battiato, Sebastiano et al. | IEEE | 2021
    the development of intelligent driver attention monitor applied over the driving scenarios involving pedestrians. The identification and ...

    Intelligent Road Surface Categorization for Self-Adaptive Driving Assistance Systems

    Rundo, Francesco / Leotta, Roberto / Battiato, Sebastiano | IEEE | 2021
    driving comfort and safety. The target of this research investigation is to propose a driving safety assessment system based on deep architecture ...

    Intelligent Optical Microscopy Defects Assessment of Silicon-Carbide Power Modules embedded in Next Generation Electric Cars

    Rundo, Francesco / Pino, Carmelo / Castagnolo, Giulia et al. | IEEE | 2023
    In automotive and industrial application domains, the "health monitoring" or predictive reliability of electronic devices plays a key-role ...

    Intelligent Deep Motion Magnification Analysis in Advanced Driving Assistance Systems

    Rundo, Francesco / Pino, Carmelo / Castagnolo, Giulia et al. | IEEE | 2023
    Automotive domain is making rapid growth in next generation cars development embedding higher levels of autonomy and intelligent assistance ...

    Innovative Saliency based Deep Driving Scene Understanding System for Automatic Safety Assessment in Next-Generation Cars

    Rundo, Francesco / Conoci, Sabrina / Battiato, Sebastiano et al. | IEEE | 2020
    . In the last few years, visual saliency estimation has received significant research interests in the automotive field. While driving the ...

    Gradient Reversal Domain Adaptation Pipeline in Advanced Driver Assistance Systems

    Rundo, Francesco / Leotta, Roberto / Battiato, Sebastiano et al. | IEEE | 2021
    for a certain task in automotive field requires the usage of such domain adaptation methods. We propose a new approach to domain adaptation in ...

    Deep Bio-Sensing Embedded System for a Robust Car-Driving Safety Assessment

    Rundo, Francesco / Spampinato, Concetto / Conoci, Sabrina et al. | IEEE | 2020
    , several advanced approaches have been proposed to monitor the driver’s level of attention, providing a real-time warning to increase ...

    Benchmarking of Computer Vision Algorithms for Driver Monitoring on Automotive-grade Devices

    Battiato, Sebastiano / Conoci, Sabrina / Leotta, Roberto et al. | IEEE | 2020
    The continuing evolution of technologies in the automotive industry has led to the development of the so-called Advanced Driver Assistance ...

    Advanced Intelligent deep learning-based system for Robust Driving Assistance

    Rundo, Francesco / Pino, Carmelo / Castagnolo, Giulia et al. | IEEE | 2023
    The monitoring of the driver’s state of concentration and the risk assessment of driving scenarios have received the majority of ...

    Advanced 1D Temporal Deep Dilated Convolutional Embedded Perceptual System for Fast Car-Driver Drowsiness Monitoring

    Rundo, Francesco / Spampinato, Concetto / Battiato, Sebastiano et al. | IEEE | 2020
    for drowsiness or inattentiveness of the driver. In this regard, several authors suggested to monitor the car driver’s physiological ...