Autonomous Intelligent Vehicles: Theory, Algorithms, and Implementation (Advances in Computer Vision and Pattern Recognition) - Hardcover
Book 21 of 86: Advances in Computer Vision and Pattern Recognition
Synopsis
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.
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From the Back Cover
Autonomous intelligent vehicles pose unique challenges in robotics, that encompass issues of environment perception and modeling, localization and map building, path planning and decision-making, and motion control.
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
An essential reference for researchers in the field, the broad coverage of all aspects of this research will also appeal to graduate students of computer science and robotics who are interested in intelligent vehicles.
Dr. Hong Cheng is Professor in the School of Automation Engineering, and Director of the Pattern Recognition and Machine Intelligence Institute at the University of Electronic Science and Technology of China.
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Autonomous intelligent vehicles pose unique challenges in robotics, that encompass issues of environment perception and modeling, localization and map building, path planning and decision-making, and motion control.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 frameworkProvides detection and tracking algorithms for structured and unstructured roads, as well as on-road vehicle detection and tracking algorithms using boosted Gabor featuresDiscusses an approach for multiple sensor-based multiple-object tracking, in addition to an integrated DGPS/IMU positioning approachExamines a vehicle navigation approach using global viewsIntroduces algorithms for lateral and longitudinal vehicle motion controlAn essential reference for researchers in the field, the broad coverage of all aspects of this research will also appeal to graduate students of computer science and robotics who are interested in intelligent vehicles.Dr. Hong Cheng is Professor in the School of Automation Engineering, and Director of the Pattern Recognition and Machine Intelligence Institute at the University of Electronic Science and Technology of China. 164 pp. Englisch. Seller Inventory # 9781447122791
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Autonomous Intelligent Vehicles: Theory, Algorithms, and Implementation
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Autonomous Intelligent Vehicles
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 164 pp. Englisch. Seller Inventory # 9781447122791
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Autonomous Intelligent Vehicles : Theory, Algorithms, and Implementation
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ISBN 10: 1447122798
ISBN 13: 9781447122791
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Autonomous intelligent vehicles pose unique challenges in robotics, that encompass issues of environment perception and modeling, localization and map building, path planning and decision-making, and motion control.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 frameworkProvides detection and tracking algorithms for structured and unstructured roads, as well as on-road vehicle detection and tracking algorithms using boosted Gabor featuresDiscusses an approach for multiple sensor-based multiple-object tracking, in addition to an integrated DGPS/IMU positioning approachExamines a vehicle navigation approach using global viewsIntroduces algorithms for lateral and longitudinal vehicle motion controlAn essential reference for researchers in the field, the broad coverage of all aspects of this research will also appeal to graduate students of computer science and robotics who are interested in intelligent vehicles.Dr. Hong Cheng is Professor in the School of Automation Engineering, and Director of the Pattern Recognition and Machine Intelligence Institute at the University of Electronic Science and Technology of China. Seller Inventory # 9781447122791