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Digital Signal Processing for In-Vehicle Systems and Safety

  • Book
  • © 2012

Overview

Editors:
  1. John H.L. Hansen

    1. , Electrical Engineering, The University of Texas at Dallas, Richardson, USA

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  2. Pinar Boyraz

    1. , ITU Mechanical Engineering, İTÜ Makina Fakültesi, Istanbul, Turkey

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  3. Kazuya Takeda

    1. Nagoya University, Nagoya, Japan

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  4. Hüseyin Abut

    1. San Diego, USA

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  • Features new approaches for reducing driver inattention and preventing road accidents
  • Includes recent advances in Smart-Car technology
  • Provides coverage of autonomous vehicles that drive themselves
  • Integrates multi-sensor fusion for driver ID and robust driver monitoring
  • Includes supplementary material: sn.pub/extras

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Table of contents (22 chapters)

  1. Front Matter

    Pages i-xxi
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  2. Driver Behavior and Modeling Systems

    1. Front Matter

      Pages 1-1
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    2. Towards Multimodal Driver’s Stress Detection

      • Hynek Bořil, Pinar Boyraz, John H. L. Hansen
      Pages 3-19

    3. Driver Emotion Profiling from Speech

      • Norhaslinda Kamaruddin, Abdul Wahab, Hüseyin Abut
      Pages 21-29

    4. Driver Status Identification from Driving Behavior Signals

      • Emre Öztürk, Engin Erzin
      Pages 31-55

    5. Multilayer Modeling of Driver Behavior Based on Hierarchical Mode Segmentation

      • Hiroyuki Okuda, Ato Nakano, Tatsuya Suzuki, Soichiro Hayakawa, Shinkichi Inagaki
      Pages 57-70

  3. In-Vehicle Interactive/Speech Systems

    1. Front Matter

      Pages 71-71
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    2. Evaluation of In-Car Communication Systems

      • Gerhard Schmidt, Anne Theiß, Jochen Withopf, Arthur Wolf
      Pages 73-107

    3. Wideband Hands-Free in Cars – New Challenges for System Design and Testing

      • Hans W. Gierlich, Frank Kettler
      Pages 109-121

    4. A Novel Way to Start Speech Dialogs in Cars by Talk-and-Push (TAP)

      • Balázs Fodor, David Scheler, Tim Fingscheidt
      Pages 123-131

    5. Cognitive Dialog Systems for Dynamic Environments: Progress and Challenges

      • Felix Putze, Tanja Schultz
      Pages 133-143

    6. In-Vehicle Speech and Noise Corpora

      • Nitish Krishnamurthy, Rosarita Lubag, John H. L. Hansen
      Pages 145-157

    7. A Likelihood-Maximizing Framework for Enhanced In-Car Speech Recognition Based on Speech Dialog System Interaction

      • Tristan Kleinschmidt, Sridha Sridharan, Michael Mason
      Pages 159-174

    8. Feature Compensation Employing Variational Model Composition for Robust Speech Recognition in In-Vehicle Environment

      • Wooil Kim, John H. L. Hansen
      Pages 175-185

    9. Dual-Channel Speech Enhancement Using a Perceptual Filterbank for Hands-Free Communication

      • Jongsung Yoon, Kihyeon Kim, Jounghoon Beh, Robert H. Baran, Hanseok Ko
      Pages 187-194

    10. Optimal Multi-Microphone Speech Enhancement in Cars

      • Lae-Hoon Kim, Mark Hasegawa-Johnson
      Pages 195-204

  4. Vehicle Dynamics, Vision, Active Safety, and Corpora

    1. Front Matter

      Pages 205-205
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    2. Generating Reference Views of Traffic Intersection for Safe Driving Assistance

      • Jien Kato, Yu Wang
      Pages 207-215

    3. Computer Vision Systems for “Context-Aware” Active Vehicle Safety and Driver Assistance

      • Pinar Boyraz, Xuebo Yang, John H. L. Hansen
      Pages 217-227

    4. Integrated Pedestrian Detection and Localization Using Stereo Cameras

      • Yu Wang, Jien Kato
      Pages 229-238
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Keywords

About this book

Compiled from papers of the 4th Biennial Workshop on DSP (Digital Signal Processing) for In-Vehicle Systems and Safety this edited collection features world-class experts from diverse fields focusing on integrating smart in-vehicle systems with human factors to enhance safety in automobiles. Digital Signal Processing for In-Vehicle Systems and Safety presents new approaches on how to reduce driver inattention and prevent road accidents.

The material addresses DSP technologies in adaptive automobiles, in-vehicle dialogue systems, human machine interfaces, video and audio processing, and in-vehicle speech systems. The volume also features recent advances in Smart-Car technology, coverage of autonomous vehicles that drive themselves, and information on  multi-sensor fusion for driver ID and robust driver monitoring.

Digital Signal Processing for In-Vehicle Systems and Safety  is useful for engineering researchers, students, automotive manufacturers, government foundations and engineers working in the areas of control engineering, signal processing, audio-video processing, bio-mechanics, human factors and transportation engineering.

Editors and Affiliations

  • , Electrical Engineering, The University of Texas at Dallas, Richardson, USA

    John H.L. Hansen

  • , ITU Mechanical Engineering, İTÜ Makina Fakültesi, Istanbul, Turkey

    Pinar Boyraz

  • Nagoya University, Nagoya, Japan

    Kazuya Takeda

  • San Diego, USA

    Hüseyin Abut

Bibliographic Information

  • Book Title: Digital Signal Processing for In-Vehicle Systems and Safety

  • Editors: John H.L. Hansen, Pinar Boyraz, Kazuya Takeda, Hüseyin Abut

  • DOI: https://doi.org/10.1007/978-1-4419-9607-7

  • Publisher: Springer New York, NY

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer Science+Business Media, LLC 2012

  • Hardcover ISBN: 978-1-4419-9606-0

  • Softcover ISBN: 978-1-4939-0191-3

  • eBook ISBN: 978-1-4419-9607-7

  • Edition Number: 1

  • Number of Pages: XXII, 326

  • Topics: Signal, Image and Speech Processing, Automotive Engineering, Control and Systems Theory

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