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

Contributor(s): Abut, Huseyin [editor.] | Abut, Hüseyin [contributor.] | Alarabi, K.F [contributor.] | Aoki, Hirofumi [contributor.] | Boyraz, Pinar [contributor.] | Busso, Carlos [contributor.] | Carballo, Alexander [contributor.] | Deguchi, Daisuke [contributor.] | Fingscheidt, Tim [contributor.] | Franzen, Jan [contributor.] | Gimm, Marco [contributor.] | Hansen, John H.L [contributor.] | Hansen, John [editor.] | Hayashi, Daiki [contributor.] | Hübschen, Tobias [contributor.] | Ide, Ichiro [contributor.] | Ishiguro, Yoshio [contributor.] | Jha, Sumit [contributor.] | Kamaruddin, Norhaslinda [contributor.] | Kandade Rajan, Vasudev [contributor.] | Kawanishi, Yasutomo [contributor.] | Kitaoka, Norihide [contributor.] | Kojima, Shin'ichi [contributor.] | Komatani, Kazunori [contributor.] | Kyutoku, Haruya [contributor.] | Liu, Yongkang [contributor.] | Maroli, John M [contributor.] | Misu, Teruhisa [contributor.] | Miyajima, Chiyomi [contributor.] | Murase, Hiroshi [contributor.] | Nakagawa, Takuma [contributor.] | Namenas, Anton [contributor.] | Nishimura, Ryota [contributor.] | Ohsuga, Shin [contributor.] | Patel, Dhruvkumar [contributor.] | Rao, Rohan [contributor.] | Rovira, Oscar [contributor.] | Schmidt, Gerhard [contributor.] | Schmidt, Gerhard [editor.] | Son Le, Anh [contributor.] | Suga, Chihiro [contributor.] | Suzuki, Tatsuya [contributor.] | Takeda, Kazuya [contributor.] | Takeda, Kazuya [editor.] | Takeda, Ryu [contributor.] | Theiß, Anne [contributor.] | Wahab, Abdul [contributor.] | Wong, David Robert [contributor.] | Yamabe, Kazuaki [contributor.] | Yu, Chuan [contributor.] | Zalila-Wenkstern, Rym [contributor.] | Zheng, Yang [contributor.] | Öge, Cüneyt L [contributor.] | Özgüner, Ümit Ö [contributor.].
Material type: materialTypeLabelBookSeries: Intelligent Vehicles and Transportation , 2.Publisher: Berlin ; Boston : De Gruyter, [2020]Copyright date: ©2020Description: 1 online resource (XV, 312 p.).Content type: text Media type: computer Carrier type: online resourceISBN: 9783110669787.Subject(s): Motor vehicles -- Electronic equipment | Signal processing -- Digital techniques | Assistenzsysteme | Autonomes Fahren | Mensch-Maschine Interaktion | SicherheitAdditional physical formats: No title; No titleOther classification: ZO 4700 Online resources: Click here to access online | Click here to access online | Cover Issued also in print.
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
Title is part of eBook package:DG Ebook Package English 2020Title is part of eBook package:DG Plus DeG Package 2020 Part 1Title is part of eBook package:De Gruyter English eBooks 2020 - UCTitle is part of eBook package:EBOOK PACKAGE COMPLETE 2020 EnglishTitle is part of eBook package:EBOOK PACKAGE COMPLETE 2020Title is part of eBook package:EBOOK PACKAGE Engineering, Computer Sciences 2020 EnglishTitle is part of eBook package:EBOOK PACKAGE Engineering, Computer Sciences 2020Summary: 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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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

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http://purl.org/coar/access_right/c_16ec

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.

Issued also in print.

Mode of access: Internet via World Wide Web.

In English.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 28. Feb 2023)

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