Autonomous Intelligent Vehicles Theory, Algorithms, and Implementation /

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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Bibliographic Details
Main Author: Cheng, Hong (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: London : Springer London : Imprint: Springer, 2011.
Series:Advances in Computer Vision and Pattern Recognition,
Subjects:
Computer science.
Artificial intelligence.
Image processing.
Pattern recognition.
Computer Science.
Image Processing and Computer Vision.
Artificial Intelligence (incl. Robotics).
Pattern Recognition.
Online Access:Full Text via HEAL-Link
Table of Contents:
  • 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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