Automatic Vehicle Guidance Via Image Processing
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Vision-based Vehicle Guidance
Author | : Ichiro Masaki |
Publisher | : Springer Science & Business Media |
Total Pages | : 355 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 146122778X |
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.
Automatic Vehicle Guidance
Author | : Alberto Broggi |
Publisher | : World Scientific |
Total Pages | : 260 |
Release | : 1999 |
Genre | : Computers |
ISBN | : 9789810237202 |
This book surveys the history of automatic vehicle guidance based on the processing of visual information, starting from the very first projects worldwide up to the latest developments. It also presents the ARGO prototype vehicle, developed at the University of Parma (Italy), and describes its equipment, setup, and performance. ARGO has been equipped with cameras and processing systems to drive autonomously in real traffic conditions. The complete system has been tested on public roads, during a tour in which ARGO drove itself along the Italian highway network for more than 2000 km. A detailed analysis of this trip is also included.
Automatic Vehicle Guidance
Author | : Massimmo Bertozzi |
Publisher | : World Scientific |
Total Pages | : 258 |
Release | : 1999-04-19 |
Genre | : Computers |
ISBN | : 9814495387 |
This book surveys the history of automatic vehicle guidance based on the processing of visual information, starting from the very first projects worldwide up to the latest developments. It also presents the ARGO prototype vehicle, developed at the University of Parma (Italy), and describes its equipment, setup, and performance. ARGO has been equipped with cameras and processing systems to drive autonomously in real traffic conditions. The complete system has been tested on public roads, during a tour in which ARGO drove itself along the Italian highway network for more than 2000 km. A detailed analysis of this trip is also included.
Algorithms for Automatic Guided Vehicle Navigation and Guidance Based on Linear Image Array Sensor Data
Author | : Daniel Milton Alley |
Publisher | : |
Total Pages | : 506 |
Release | : 1988 |
Genre | : Algorithms |
ISBN | : |
Autonomous Driving Perception
Author | : Rui Fan |
Publisher | : Springer Nature |
Total Pages | : 391 |
Release | : 2023-10-06 |
Genre | : Technology & Engineering |
ISBN | : 981994287X |
Discover the captivating world of computer vision and deep learning for autonomous driving with our comprehensive and in-depth guide. Immerse yourself in an in-depth exploration of cutting-edge topics, carefully crafted to engage tertiary students and ignite the curiosity of researchers and professionals in the field. From fundamental principles to practical applications, this comprehensive guide offers a gentle introduction, expert evaluations of state-of-the-art methods, and inspiring research directions. With a broad range of topics covered, it is also an invaluable resource for university programs offering computer vision and deep learning courses. This book provides clear and simplified algorithm descriptions, making it easy for beginners to understand the complex concepts. We also include carefully selected problems and examples to help reinforce your learning. Don't miss out on this essential guide to computer vision and deep learning for autonomous driving.