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Visual Navigation - From Biological Systems To Unmanned Ground Vehicles (Paperback)
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Visual Navigation - From Biological Systems To Unmanned Ground Vehicles (Paperback)
Series: Computer Vision Series
Expected to ship within 12 - 17 working days
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All biological systems with vision move about their environments
and successfully perform many tasks. The same capabilities are
needed in the world of robots. To that end, recent results in
empirical fields that study insects and primates, as well as in
theoretical and applied disciplines that design robots, have
uncovered a number of the principles of navigation. To offer a
unifying approach to the situation, this book brings together ideas
from zoology, psychology, neurobiology, mathematics, geometry,
computer science, and engineering. It contains theoretical
developments that will be essential in future research on the topic
-- especially new representations of space with less complexity
than Euclidean representations possess. These representations allow
biological and artificial systems to compute from images in order
to successfully deal with their environments. In this book, the
barriers between different disciplines have been smoothed and the
workings of vision systems of biological organisms are made clear
in computational terms to computer scientists and engineers. At the
same time, fundamental principles arising from computational
considerations are made clear both to empirical scientists and
engineers. Empiricists can generate a number of hypotheses that
they could then study through various experiments. Engineers can
gain insight for designing robotic systems that perceive aspects of
their environment. For the first time, readers will find: * the
insect vision system presented in a way that can be understood by
computational scientists working in computer vision and
engineering; * three complete, working robotic navigation systems
presented with all the issues related to their design analyzed in
detail; * the beginning of a computational theory of direct
perception, as advocated by Gibson, presented in detail with
applications for a variety of problems; and * the idea that vision
systems could compute space representations different from perfect
metric descriptions -- and be used in robotic tasks -- advanced for
both artificial and biological systems.
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