Vehicles, Drivers, and Safety / / ed. by Huseyin Abut, Kazuya Takeda, Gerhard Schmidt, John Hansen.

• Superior document: Title is part of eBook package: De Gruyter DG Ebook Package English 2020
• HerausgeberIn: Abut, Huseyin,; Hansen, John,; Schmidt, Gerhard,; Takeda, Kazuya,
• MitwirkendeR: Abut, Hüseyin,; Alarabi, K.F.,; Aoki, Hirofumi,; Boyraz, Pinar,; Busso, Carlos,; Carballo, Alexander,; Deguchi, Daisuke,; Fingscheidt, Tim,; Franzen, Jan,; Gimm, Marco,; Hansen, John H.L.,; Hayashi, Daiki,; Hübschen, Tobias,; Ide, Ichiro,; Ishiguro, Yoshio,; Jha, Sumit,; Kamaruddin, Norhaslinda,; Kandade Rajan, Vasudev,; Kawanishi, Yasutomo,; Kitaoka, Norihide,; Kojima, Shin’ichi,; Komatani, Kazunori,; Kyutoku, Haruya,; Liu, Yongkang,; Maroli, John M.,; Misu, Teruhisa,; Miyajima, Chiyomi,; Murase, Hiroshi,; Nakagawa, Takuma,; Namenas, Anton,; Nishimura, Ryota,; Ohsuga, Shin,; Patel, Dhruvkumar,; Rao, Rohan,; Rovira, Oscar,; Schmidt, Gerhard,; Son Le, Anh,; Suga, Chihiro,; Suzuki, Tatsuya,; Takeda, Kazuya,; Takeda, Ryu,; Theiß, Anne,; Wahab, Abdul,; Wong, David Robert,; Yamabe, Kazuaki,; Yu, Chuan,; Zalila-Wenkstern, Rym,; Zheng, Yang,; Öge, Cüneyt L.,; Özgüner, Ümit Ö,
• Place / Publishing House: Berlin ;, Boston : : De Gruyter, , [2020]; ©2020
• Year of Publication: 2020
• Language: English
• Series: Intelligent Vehicles and Transportation , 2
• Physical Description: 1 online resource (XV, 312 p.)

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.

Table of Contents

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