Cheng Autonomous Intelligent Vehicles

Theory, Algorithms, and Implementation
1. Auflage 2011
ISBN: 978-1-4471-2280-7
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 154 Seiten, eBook

Reihe: Advances in Pattern Recognition

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.

Zielgruppe

Research

Autoren/Hrsg.

Cheng, Hong

Inhaltsverzeichnis

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.