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商品コード: 9781447122791

Autonomous Intelligent Vehicles

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書名

Autonomous Intelligent Vehicles: Theory, Algorithms, and Implementation
著者・編者 Cheng, H.
出版社/発行元 Springer
発行年/月 2011年11月   
装丁 Hardcover
ページ数/巻数 154 ページ
ISBN 978-1-4471-2279-1
発送予定 海外倉庫よりお取り寄せ 2-3週間以内に発送します

 

 

Desciption

 

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.

 

 

Contents

 

Part I Autonomous Intelligent Vehicles
1 Introduction
2 The State-of-the-Art in the USA
3 The Framework of Intelligent Vehicles

Part II Environment Perception and Modeling
4 Road Detection and Tracking
5 Vehicle Detection and Tracking
6 Multiple-Sensor Based Multiple-Object Tracking

Part III Vehicle Localization and Navigation
7 An Integrated DGPS/IMU Positioning Approach
8 Vehicle Navigation Using Global Views

Part IV Advanced Vehicle Motion Control
9 The Lateral Motion Control for Intelligent Vehicles
10 Longitudinal Motion Control for Intelligent Vehicles

 

 

 

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