Autonomous Intelligent Vehicles Theory, Algorithms, and Implementation /

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 vehi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Cheng, Hong (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Colección:Advances in Computer Vision and Pattern Recognition,
Temas:
Computer vision.
Artificial intelligence.
Pattern recognition systems.
Computer Vision.
Artificial Intelligence.
Automated Pattern Recognition.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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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