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Algorithm & SoC Design for Automotive Vision Systems - For Smart Safe Driving System (Paperback, Softcover reprint of the original 1st ed. 2014)
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Algorithm & SoC Design for Automotive Vision Systems - For Smart Safe Driving System (Paperback, Softcover reprint of the original 1st ed. 2014)
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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 control
signals including warning signals. Although radar-based systems are
primarily used for sensing the driving environments, the camera has
gained importance in advanced driver assistance systems (ADAS).
This book covers system-on-a-chip (SoC) designs—including both
algorithms and hardware—related with image sensing and object
detection by using the camera for smart driving systems. It
introduces a variety of algorithms such as lens correction, super
resolution, image enhancement and object detections from the images
captured by low-cost vehicle camera. This is followed by
implementation issues such as SoC architecture, hardware
accelerator, software development environment and reliability
techniques for automobile vision systems. This book is aimed for
the new and practicing engineers in automotive and chip-design
industries to provide some overall guidelines for the development
of automotive vision systems. It will also help graduate students
understand and get started for the research work in this field.
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