Autonomous intelligent vehicles: theory, algorithms, and implementation

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, andissues 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. Discussesboth high-level theory and algorithms, and practical hardware and software implementation. INDICE: 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.

• ISBN: 978-1-4471-2279-1
• Editorial: Springer London
• Encuadernacion: Cartoné
• Páginas: 158
• Fecha Publicación: 04/12/2011
• Nº Volúmenes: 1
• Idioma: Inglés