Vision-based vehicle guidance
著者
書誌事項
Vision-based vehicle guidance
（Springer series in perception engineering）
Springer-Verlag, c1992
- : New York
- : Berlin
大学図書館所蔵 全25件
注記
Includes bibliographical references and index
内容説明・目次
- 巻冊次
-
: New York ISBN 9780387975535
内容説明
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."
- 巻冊次
-
: Berlin ISBN 9783540975533
内容説明
This book, "Vision-Based Vehicle Guidance", covers leading research projects on drivers' assistant systems based on computer vision technologies. Examples of those drivers' assistant systems include automatic steering control, collision avoidance, and various warning systems for automobiles on highways. The vision systems for vehicle guidance includes a number of new problems which conventional vision systems for factory automation did not have because the highway scenes are less structured than typical factory applications under controlled lighting. New approaches to address those problems are proposed in this book to extend the horizon of computer vision technologies.
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