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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Kim, Jaeseok (Επιμελητής έκδοσης), Shin, Hyunchul (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Dordrecht : Springer Netherlands : Imprint: Springer, 2014.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.