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
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
Klappentext
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.
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
