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Computer Vision in Vehicle Technology

Author Jose M. Alvarez , Tomas Pajdla , Atsushi Imiya , Antonio M. López
Release Date: 2017/03/01
ISBN: 9781118868072
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Book Description

A unified view of the use of computer vision technology for different types of vehicles

Computer Vision in Vehicle Technology focuses on computer vision as on-board technology, bringing together fields of research where computer vision is progressively penetrating: the automotive sector, unmanned aerial and underwater vehicles. It also serves as a reference for researchers of current developments and challenges in areas of the application of computer vision, involving vehicles such as advanced driver assistance (pedestrian detection, lane departure warning, traffic sign recognition), autonomous driving and robot navigation (with visual simultaneous localization and mapping) or unmanned aerial vehicles (obstacle avoidance, landscape classification and mapping, fire risk assessment).

The overall role of computer vision for the navigation of different vehicles, as well as technology to address on-board applications, is analysed.

Key features:

  • Presents the latest advances in the field of computer vision and vehicle technologies in a highly informative and understandable way, including the basic mathematics for each problem.
  • Provides a comprehensive summary of the state of the art computer vision techniques in vehicles from the navigation and the addressable applications points of view.
  • Offers a detailed description of the open challenges and business opportunities for the immediate future in the field of vision based vehicle technologies.

This is essential reading for computer vision researchers, as well as engineers working in vehicle technologies, and students of computer vision.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright
  4. List of Contributors
  5. Preface
  6. Abbreviations and Acronyms
  7. Chapter 1: Computer Vision in Vehicles
    1. 1.1 Adaptive Computer Vision for Vehicles
    2. 1.2 Notation and Basic Definitions
    3. 1.3 Visual Tasks
    4. 1.4 Concluding Remarks
    5. Acknowledgments
  8. Chapter 2: Autonomous Driving
    1. 2.1 Introduction
    2. 2.2 Autonomous Driving in Cities
    3. 2.3 Challenges
    4. 2.4 Summary
    5. Acknowledgments
  9. Chapter 3: Computer Vision for MAVs
    1. 3.1 Introduction
    2. 3.2 System and Sensors
    3. 3.3 Ego-Motion Estimation
    4. 3.4 3D Mapping
    5. 3.5 Autonomous Navigation
    6. 3.6 Scene Interpretation
    7. 3.7 Concluding Remarks
  10. Chapter 4: Exploring the Seafloor with Underwater Robots
    1. 4.1 Introduction
    2. 4.2 Challenges of Underwater Imaging
    3. 4.3 Online Computer Vision Techniques
    4. 4.4 Acoustic Imaging Techniques
    5. 4.5 Concluding Remarks
    6. Acknowledgments
  11. Chapter 5: Vision-Based Advanced Driver Assistance Systems
    1. 5.1 Introduction
    2. 5.2 Forward Assistance
    3. 5.3 Lateral Assistance
    4. 5.4 Inside Assistance
    5. 5.5 Conclusions and Future Challenges
    6. Acknowledgments
  12. Chapter 6: Application Challenges from a Bird's-Eye View
    1. 6.1 Introduction to Micro Aerial Vehicles (MAVs)
    2. 6.2 GPS-Denied Navigation
    3. 6.3 Applications and Challenges
    4. 6.4 Conclusions
  13. Chapter 7: Application Challenges of Underwater Vision
    1. 7.1 Introduction
    2. 7.2 Offline Computer Vision Techniques for Underwater Mapping and Inspection
    3. 7.3 Acoustic Mapping Techniques
    4. 7.4 Concluding Remarks
  14. Chapter 8: Closing Notes
  15. References
  16. Index
  17. End User License Agreement