Ebook: Vision-based Vehicle Guidance

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.

---

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. This is the first and only one comprehensive book for engineers, scientists, and students who are interested in vison-based vehicle control. The field of vision-based vehicle guidance is gathering rapidly increasing interest as a part of the Intelligent Vehicle and Highway Systems (IVHS). The IVHS is expected to increase the safety, efficiency, and environmental quality by adding more intelligence to the vehicle/highway systems. The vision systems for vehicle guidance includes a number of new problems which coventional 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.

---

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. This is the first and only one comprehensive book for engineers, scientists, and students who are interested in vison-based vehicle control. The field of vision-based vehicle guidance is gathering rapidly increasing interest as a part of the Intelligent Vehicle and Highway Systems (IVHS). The IVHS is expected to increase the safety, efficiency, and environmental quality by adding more intelligence to the vehicle/highway systems. The vision systems for vehicle guidance includes a number of new problems which coventional 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.
Content:
Front Matter....Pages i-xviii
Vision-based Autonomous Road Vehicles....Pages 1-29
The New Generation System for the CMU Navlab....Pages 30-82
Algorithms for Road Navigation....Pages 83-110
A Visual Control System Using Image Processing and Fuzzy Theory....Pages 111-128
Local Processing as a Cue for Decreasing 3-D Structure Computation....Pages 129-147
Object Detection Using Model-based Prediction and Motion Parallax....Pages 148-161
Road Sign Recognition: A Study of Vision-based Decision Making for Road Environment Recognition....Pages 162-172
From Self-Navigation to Driver’s Associate: An Application of Mobile Robot Vision to a Vehicle Information System....Pages 173-203
Recent Progress in Mobile Robot Harunobu-4....Pages 204-221
Visual Navigation of an Autonomous On-Road Vehicle: Autonomous Cruising on Highways....Pages 222-237
Finding Road Lane Boundaries for Vision-guided Vehicle Navigation....Pages 238-254
An Extracting Method of the Optical Flow for an Anticollision System....Pages 255-267
Obstacle Avoidance and Trajectory Planning for an Indoor Mobile Robot Using Stereo Vision and Delaunay Triangulation....Pages 268-283
A Parallel Architecture for Curvature-based Road Scene Classification....Pages 284-299
Mobile Robot Perception Using Vertical Line Stereo....Pages 300-324
Back Matter....Pages 325-332

---

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. This is the first and only one comprehensive book for engineers, scientists, and students who are interested in vison-based vehicle control. The field of vision-based vehicle guidance is gathering rapidly increasing interest as a part of the Intelligent Vehicle and Highway Systems (IVHS). The IVHS is expected to increase the safety, efficiency, and environmental quality by adding more intelligence to the vehicle/highway systems. The vision systems for vehicle guidance includes a number of new problems which coventional 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.
Content:
Front Matter....Pages i-xviii
Vision-based Autonomous Road Vehicles....Pages 1-29
The New Generation System for the CMU Navlab....Pages 30-82
Algorithms for Road Navigation....Pages 83-110
A Visual Control System Using Image Processing and Fuzzy Theory....Pages 111-128
Local Processing as a Cue for Decreasing 3-D Structure Computation....Pages 129-147
Object Detection Using Model-based Prediction and Motion Parallax....Pages 148-161
Road Sign Recognition: A Study of Vision-based Decision Making for Road Environment Recognition....Pages 162-172
From Self-Navigation to Driver’s Associate: An Application of Mobile Robot Vision to a Vehicle Information System....Pages 173-203
Recent Progress in Mobile Robot Harunobu-4....Pages 204-221
Visual Navigation of an Autonomous On-Road Vehicle: Autonomous Cruising on Highways....Pages 222-237
Finding Road Lane Boundaries for Vision-guided Vehicle Navigation....Pages 238-254
An Extracting Method of the Optical Flow for an Anticollision System....Pages 255-267
Obstacle Avoidance and Trajectory Planning for an Indoor Mobile Robot Using Stereo Vision and Delaunay Triangulation....Pages 268-283
A Parallel Architecture for Curvature-based Road Scene Classification....Pages 284-299
Mobile Robot Perception Using Vertical Line Stereo....Pages 300-324
Back Matter....Pages 325-332
....