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Vision-based Vehicle Guidance

  • Ichiro Masaki

Part of the Springer Series in Perception Engineering book series (SSPERCEPTION)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Volker Graefe, Klaus-Dieter Kuhnert
    Pages 1-29
  3. Charles Thorpe, Martial Hebert, Takeo Kanade, Steven Shafer
    Pages 30-82
  4. Larry S. Davis, Daniel DeMenthon, Sven Dickinson, Philip Veatch
    Pages 83-110
  5. Hiroshi Kamada, Masumi Yoshida
    Pages 111-128
  6. Patrick Stelmaszyk, Hiroshi Ishiguro, Roland Pesty, Saburo Tsuji
    Pages 129-147
  7. Stefan Carlsson, Jan-Olof Eklundh
    Pages 148-161
  8. Kohji Kamejima, Tomoyuki Hamada, Masahiro Tsuchiya, Yuriko C. Watanabe
    Pages 173-203
  9. Akihiro Okuno, Kenji Fujita, Atsushi Kutami
    Pages 222-237
  10. L. T. Schaaser, B. T. Thomas
    Pages 238-254
  11. James L. Crowley, Philippe Bobet, Karen Sarachik
    Pages 300-324
  12. Back Matter
    Pages 325-332

About this book

Introduction

There is a growing social interest in developing vision-based vehicle guidance systems for improving traffic safety and efficiency and the environment. Ex­ amples of vision-based vehicle guidance systems include collision warning systems, steering control systems for tracking painted lane marks, and speed control systems for preventing rear-end collisions. Like other guidance systems for aircraft and trains, these systems are ex­ pected to increase traffic safety significantly. For example, safety improve­ ments of aircraft landing processes after the introduction of automatic guidance systems have been reported to be 100 times better than prior to installment. Although the safety of human lives is beyond price, the cost for automatic guidance could be compensated by decreased insurance costs. It is becoming more important to increase traffic safety by decreasing the human driver's load in our society, especially with an increasing population of senior people who continue to drive. The second potential social benefit is the improvement of traffic efficiency by decreasing the spacing between vehicles without sacrificing safety. It is reported, for example, that four times the efficiency is expected if the spacing between cars is controlled automatically at 90 cm with a speed of 100 kmjh compared to today's typical manual driving. Although there are a lot of tech­ nical, psychological, and social issues to be solved before realizing the high­ density jhigh-speed traffic systems described here, highly efficient highways are becoming more important because of increasing traffic congestion.

Keywords

Automobil automation computer vision control intelligence safety

Editors and affiliations

  • Ichiro Masaki
    • 1
  1. 1.General Motors Research LaboratoriesComputer Science DepartmentWarrenUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-2778-6
  • Copyright Information Springer-Verlag New York 1992
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-7665-4
  • Online ISBN 978-1-4612-2778-6
  • Series Print ISSN 1431-858X
  • Buy this book on publisher's site