Computational Intelligence in Automotive Applications

  • Danil Prokhorov

Part of the Studies in Computational Intelligence book series (SCI, volume 132)

Table of contents

  1. Front Matter
    Pages I-XX
  2. Yilu Zhang, Yuri Owechko, Jing Zhang
    Pages 1-17
  3. Luis M. Bergasa, Jesús Nuevo, Miguel A. Sotelo, Rafael Barea, Elena Lopez
    Pages 19-37
  4. Kari Torkkola, Mike Gardner, Chris Schreiner, Keshu Zhang, Bob Leivian, Harry Zhang et al.
    Pages 39-58
  5. Tarak Gandhi, Mohan Manubhai Trivedi
    Pages 59-77
  6. Matthias Steinbrecher, Frank Rügheimer, Rudolf Kruse
    Pages 79-88
  7. Tomas Hrycej, Christian Manuel Strobel
    Pages 89-99
  8. Danil Prokhorov
    Pages 101-123
  9. Gérard Bloch, Fabien Lauer, Guillaume Colin
    Pages 125-144
  10. Krishna Pattipati, Anuradha Kodali, Jianhui Luo, Kihoon Choi, Satnam Singh, Chaitanya Sankavaram et al.
    Pages 191-218
  11. Mahmoud El-Banna, Dimitar Filev, Ratna Babu Chinnam
    Pages 219-235
  12. James Albus, Roger Bostelman, Raj Madhavan, Harry Scott, Tony Barbera, Sandor Szabo et al.
    Pages 237-274
  13. Back Matter
    Pages 275-276

About this book

Introduction

What is computational intelligence (CI)? Traditionally, CI is understood as a collection of methods from the fields of neural networks (NN), fuzzy logic and evolutionary computation. This edited volume is the first of its kind, suitable to automotive researchers, engineers and students. It provides a representative sample of contemporary CI activities in the area of automotive technology. The volume consists of 13 chapters, including but not limited to these topics: vehicle diagnostics and vehicle system safety, control of vehicular systems, quality control of automotive processes, driver state estimation, safety of pedestrians, intelligent vehicles. All chapters contain overviews of state of the art, and several chapters illustrate their methodologies on examples of real-world systems.

About the Editor: Danil Prokhorov began his technical career in St. Petersburg, Russia, after graduating with Honors from Saint Petersburg State University of Aerospace Instrumentation in 1992 (MS in Robotics). He worked as a research engineer in St. Petersburg Institute for Informatics and Automation, one of  the institutes of the Russian Academy of Sciences. He came to the US in late 1993 for Ph.D. studies. He became involved in automotive research in 1995 when he was a Summer intern at Ford Scientific Research Lab in Dearborn, MI. Upon his graduation from the EE Department of Texas Tech University, Lubbock, in 1997, he joined Ford to pursue application-driven research on neural networks and other machine learning algorithms. While at Ford, he took part in several production-bound projects including neural network based engine misfire detection. Since 2005 he is with Toyota Technical Center, Ann Arbor, MI, overseeing important mid- and long-term research projects in computational intelligence.

Keywords

Automotive Applications Automotive Engineering Computational Intelligence Computer Vision Toyota automotive technology calculus learning machine learning neural network safety

Editors and affiliations

  • Danil Prokhorov
    • 1
  1. 1.Toyota Technical Center - A Division of Toyota Motor Engineering and Manufacturing (TEMA)Ann ArborUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-79257-4
  • Copyright Information Springer Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-79256-7
  • Online ISBN 978-3-540-79257-4
  • Series Print ISSN 1860-949X
  • About this book
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