Autonomous intelligent vehicles : theory, algorithms, and implementation
著者
書誌事項
Autonomous intelligent vehicles : theory, algorithms, and implementation
（Advances in computer vision and pattern recognition / Sameer Singh, Sing Bing Kang, series editors）
Springer, c2011
- : [hardcover]
大学図書館所蔵 全3件
内容説明・目次
内容説明
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.
目次
Part I: Autonomous Intelligent Vehicles
Introduction
The State of the Art in USA
The Framework of Intelligent Vehicles
Part II: Environment Perception and Modeling
Road Detection and Tracking
Vehicle Detection and Tracking
Multiple-Sensor Based Multiple-Object Tracking
Part III: Vehicle Localization and Navigation
An Integrated DGPS/IMU Positioning Approach
Vehicle Navigation Using Global Views
Part IV: Advanced Vehicle Motion Control
Lateral Motion Control for Intelligent Vehicles
Longitudinal Motion Control for Intelligent Vehicles
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