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...
Guardado en:
Otros Autores: | , |
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Formato: | Libro electrónico |
Lenguaje: | Inglés |
Publicado: |
Dordrecht :
Springer Netherlands : Imprint: Springer,
2014.
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Materias: | |
Acceso en línea: | http://dx.doi.org/10.1007/978-94-017-9075-8 |
Aporte de: | Registro referencial: Solicitar el recurso aquí |
Tabla de Contenidos:
- 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 Driverâ_Ts 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.