Titlebook: Algorithm & SoC Design for Automotive Vision Systems; For Smart Safe Drivi Jaeseok Kim,Hyunchul Shin Book 2014 Springer Science+Business Me

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Jennifer Kuzma,Teshanee T. Williamsn other super resolution algorithms discard this registration error. This algorithm follows the warp-blur observation model because the blurring parameter is much bigger than warp parameter for camera rotation and/or vibration.

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Book 2014w 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,

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n issues.Provides a guideline to get started for R&D works i.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 impro

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Introduction,s, which are very popular mainly because of their low development costs and very diverse potential applications. The system-on-chip (SoC) architecture and components of automobile vision systems are also presented.

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SoC Architecture for Automobile Vision System,e current practice of automotive driving is mostly, if not entirely, based on vision. This chapter discusses architectural issues to be considered when designing Systems-on-a-Chip (SoC) for automobile vision system. Various existing architectures are introduced together with some analysis and comparison.

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