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Algorithm and SoC Design for Automotive Vision Systems: For Smart Safe Driving System by Kim, Jaeseok; Shin, Hyunchul is a nonfiction available to read on EtoBox.

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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.;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

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Author

Kim, Jaeseok; Shin, Hyunchul

Publisher

Springer Netherlands : Imprint : Springer

Published

2014

Language

EN

ISBN

9789401790758

Category

nonfiction

Subjects

Engineering, Computer Science, Stem