Frontmatter -- Contents -- Contributing Authors -- Introduction -- 1 MobileUTDrive: A Portable Device Platform for In-vehicle Driving Data Collection -- 2 Semantic Analysis of Driver Behavior by Data Fusion -- 3 Predicting When Drivers Need AR Guidance -- 4 Driver’s Mental Workload Estimation with Involuntary Eye Movement -- 5 Neurophysiological Driver Behavior Analysis -- 6 Modeling the Relationship between Driver Gaze Behavior and Traffic Context during Lane Changes Using a Recurrent Neural Network -- 7 A Multimodal Control System for Autonomous Vehicles Using Speech, Gesture, and Gaze Recognition -- 8 Head Pose as an Indicator of Drivers’ Visual Attention -- 9 Evolving Neural Network Controllers for Tractor-Trailer Vehicle Backward Path Tracking -- 10 Spectral Distance Analysis for Quality Estimation of In-Car Communication Systems -- 11 Combination of Hands-Free and ICC Systems -- 12 Insights into Automotive Noise PSD Estimation Based on Multiplicative Constants -- 13 In-Car Communication: From Single- to Four-Channel with the Frequency Domain Adaptive Kalman Filter -- 14 The PIX Moving KuaiKai: Building a Self-Driving Car in Seven Days -- 15 Vehicle Ego-Localization with a Monocular Camera Using Epipolar Geometry Constraints -- 16 Connected and Automated Vehicles: Study of Platooning -- 17 Epilogue – Future Mobility 2050 -- IndexThis book presents works from world-class experts from academia, industry, and national agencies representing countries from across the world focused on automotive fields for in-vehicle signal processing and safety. These include cutting-edge studies on safety, driver behavior, infrastructure, and human-to-vehicle interfaces. Vehicle Systems, Driver Modeling and Safety is appropriate for researchers, engineers, and professionals working in signal processing for vehicle systems, next generation system design from driver-assisted through fully autonomous vehicles


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    Title :

    Vehicles, Drivers, and Safety



    Conference:

    Workshop on Digital Signal Processing (DSP) for In-Vehicle Systems ; 2018 ; Nagoya



    Publication date :

    2020


    Size :

    1 Online-Ressource (XVI, 310 Seiten)




    Type of media :

    Conference Proceedings


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629.276 / 629.20285 / 629.283
    BKL:    55.24
    RVK:    ZO 4700



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