Algorithm & SoC Design for Automotive Vision Systems

For Smart Safe Driving System

  • Jaeseok Kim
  • Hyunchul Shin

Table of contents

  1. Front Matter
    Pages i-ix
  2. Jaeseok Kim, Hyunchul Shin
    Pages 1-10
  3. Sang-Bock Cho
    Pages 11-40
  4. Hyo-Moon Cho
    Pages 41-72
  5. Hyunchul Shin, Irfan Riaz
    Pages 107-142
  6. Kyounghoon Kim, Kiyoung Choi
    Pages 163-195
  7. Jun-Seok Park, Lee-Sup Kim
    Pages 197-230
  8. Sungju Park
    Pages 263-290

About this book


An emerging trend in the automobile industry is its convergence with information technology (IT). Indeed, it has been estimated that almost 90% of new automobile technologies involve IT in some form. Smart driving technologies that improve safety as well as green fuel technologies are quite representative of the convergence between IT and automobiles. The smart driving technologies include three key elements: sensing of driving environments, detection of objects and potential hazards, and the generation of driving control signals including warning signals.

Although radar-based systems are primarily used for sensing the driving environments, the camera has gained importance in advanced driver assistance systems(ADAS).

This book covers system-on-a-chip (SoC) designs—including both algorithms and hardware—related with image sensing and object detection by using the camera for smart driving systems. It introduces a variety of algorithms such as lens correction, super resolution, image enhancement, and object detections from the images captured by low-cost vehicle camera. This is followed by implementation issues such as SoC architecture, hardware accelerator, software development environment, and reliability techniques for automobile vision systems.

This book is aimed for the new and practicing engineers in automotive and chip-design industries to provide some overall guidelines for the development of automotive vision systems.

It will also help graduate students understand and get started for the research work in this field.


3D Image Processing Automotive vision system Design Methodology Electronic Systems Hardware Architecture Reliability Architecture SoC Architectures SoC design Software Architecture System-on-Chip Vehicle Vision System Vision and Auxiliary Sensors smart driving system vision algorithm

Editors and affiliations

  • Jaeseok Kim
    • 1
  • Hyunchul Shin
    • 2
  1. 1.Yonsei UniversitySeoulKorea, Republic of (South Korea)
  2. 2.Hanyang UniversityAnsanKorea, Republic of (South Korea)

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media Dordrecht 2014
  • Publisher Name Springer, Dordrecht
  • eBook Packages Engineering
  • Print ISBN 978-94-017-9074-1
  • Online ISBN 978-94-017-9075-8
  • Buy this book on publisher's site