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

Algorithm & SoC Design for Automotive Vision Systems For Smart Safe Driving System / edited by Jaeseok Kim, Hyunchul Shin.

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...

Full description

Saved in:
Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Kim, Jaeseok (Editor), Shin, Hyunchul (Editor)
Format: eBook
Language:English
Published: Dordrecht : Springer Netherlands : Imprint: Springer, 2014.
Edition:1st ed. 2014.
Series:Springer eBook Collection.
Subjects:
Electronic circuits.
Automotive engineering.
Special purpose computers.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
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.

Similar Items