Authors:
- Presents state-of-the-art research on intelligent vehicles
- Covers both object/obstacle detection and recognition, and vehicle motion control
- Discusses both high-level theory and algorithms, and practical hardware and software implementation
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
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Table of contents (10 chapters)
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Front Matter
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Autonomous Intelligent Vehicles
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Front Matter
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Environment Perception and Modeling
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Front Matter
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Vehicle Localization and Navigation
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Front Matter
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Advanced Vehicle Motion Control
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Front Matter
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Back Matter
About this book
This important text/reference presents state-of-the-art research on intelligent vehicles, covering not only topics of object/obstacle detection and recognition, but also aspects of vehicle motion control. With an emphasis on both high-level concepts, and practical detail, the text links theory, algorithms, and issues of hardware and software implementation in intelligent vehicle research. Topics and features: presents a thorough introduction to the development and latest progress in intelligent vehicle research, and proposes a basic framework; provides detection and tracking algorithms for structured and unstructured roads, as well as on-road vehicle detection and tracking algorithms using boosted Gabor features; discusses an approach for multiple sensor-based multiple-object tracking, in addition to an integrated DGPS/IMU positioning approach; examines a vehicle navigation approach using global views; introduces algorithms for lateral and longitudinal vehicle motion control.
Authors and Affiliations
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School of Automation Engineering, Univ. of Electronic Science & Technology, Chengdu, China, People's Republic
Hong Cheng
Bibliographic Information
Book Title: Autonomous Intelligent Vehicles
Book Subtitle: Theory, Algorithms, and Implementation
Authors: Hong Cheng
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-1-4471-2280-7
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London Limited 2011
Hardcover ISBN: 978-1-4471-2279-1Published: 16 November 2011
Softcover ISBN: 978-1-4471-5869-1Published: 25 January 2014
eBook ISBN: 978-1-4471-2280-7Published: 15 November 2011
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: X, 154
Topics: Image Processing and Computer Vision, Artificial Intelligence, Pattern Recognition