Vehicles, Drivers, and Safety / 
ed. by Huseyin Abut, Kazuya Takeda, Gerhard Schmidt, John Hansen. 
 - 1 online resource (XV, 312 p.) 
 - Intelligent Vehicles and Transportation ,  2  2366-1291 ; .
<br/><br/> Frontmatter --   Contents --   Contributing Authors --   Introduction --   Part A: Driver/Vehicle Interaction Systems --   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 --   Part B: Models & Theories of Driver/Vehicle Systems --   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 --   Part C: Self-driving and the Mobility in 2050 --   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 --   Index 
<br/><br/> restricted access  http://purl.org/coar/access_right/c_16ec 
<br/><br/> This 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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<br/><br/><br/>Mode of access: Internet via World Wide Web. 
<br/><br/><br/>In English. 
<br/><br/><label>ISBN: </label>9783110669787 
<br/><br/><label>Standard No.: </label>10.1515/9783110669787  doi 
<br/><br/><label>LCCN: </label>2019955050 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Motor vehicles--Electronic equipment.<br/>Signal processing--Digital techniques.<br/>Assistenzsysteme.<br/>Autonomes Fahren.<br/>Mensch-Maschine Interaktion.<br/>Sicherheit.
<br/><br/><label>LC Class. No.: </label>MLCM 2021/45130 (T)