Algorithm & SoC Design for Automotive Vision Systems For Smart Safe Driving System /

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 represen...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Kim, Jaeseok (Editor), Shin, Hyunchul (Editor)
Format: Electronic eBook
Language:English
Published: Dordrecht : Springer Netherlands : Imprint: Springer, 2014.
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Preface
  • 1 Introduction; Jae-seok Kim, Hyun-chul Shin
  • 2 Lens Correction and Gamma Correction; Sang-Bock Cho
  • 3 Super Resolution; Hyo-Moon Cho
  • 4 Image enhancement for improving object recognition; Jae-Seok Kim
  • 5 Detection of Vehicles and Pedestrians; Hyunchul Shin, Irfan Riaz
  • 6 Monitoring Driver’s State and Predicting Unsafe Driving Behavior; Hang-Bong Kang
  • 7 SoC Architecture for Automobile Vision System; Kyounghoon Kim, Kiyoung Choi
  • 8 Hardware accelerator for feature point detection and Matching; Jun-Seok Park, Lee-Sup Kim
  • 9 Software Development Environment for Automotive SoC; Jeonghun Cho
  • 10 Reliability issues for automobile SoCs; Sungju Park.