Autonomous Intelligent Vehicles

Theory, Algorithms, and Implementation

  • Hong Cheng

Part of the Advances in Computer Vision and Pattern Recognition book series (ACVPR)

Table of contents

  1. Front Matter
    Pages I-X
  2. Autonomous Intelligent Vehicles

    1. Front Matter
      Pages 1-1
    2. Hong Cheng
      Pages 3-11
    3. Hong Cheng
      Pages 13-22
    4. Hong Cheng
      Pages 23-29
  3. Environment Perception and Modeling

    1. Front Matter
      Pages 31-31
    2. Hong Cheng
      Pages 33-59
    3. Hong Cheng
      Pages 61-80
  4. Vehicle Localization and Navigation

    1. Front Matter
      Pages 97-97
    2. Hong Cheng
      Pages 109-121
  5. Advanced Vehicle Motion Control

    1. Front Matter
      Pages 123-123
  6. Back Matter
    Pages 151-152

About this book


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 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

An essential reference for researchers in the field, the broad coverage of all aspects of this research will also appeal to graduate students of computer science and robotics who are interested in intelligent vehicles.

Dr. Hong Cheng is Professor in the School of Automation Engineering, and Director of the Pattern Recognition and Machine Intelligence Institute at the University of Electronic Science and Technology of China.


Intelligent Vehicles Lane Detection and Tracking Road Perception and Modeling Vehicle Detection and Tracking Vehicle Lateral and Longitudinal Controls Vehicle Navigation

Authors and affiliations

  • Hong Cheng
    • 1
  1. 1.School of Automation EngineeringUniv. of Electronic Science & TechnologyChengduChina, People's Republic

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag London Limited 2011
  • Publisher Name Springer, London
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-1-4471-2279-1
  • Online ISBN 978-1-4471-2280-7
  • Series Print ISSN 2191-6586
  • Series Online ISSN 2191-6594
  • Buy this book on publisher's site