Abstract
: : A Highly Efficient Vision System for Fast Robot/Vehicle Navigation
Since the introduction of the "Habitat Constraints Satisfaction paradigm" in vision processing, by Ian
Horswill (previously of Massachusetts Institute of Technology (MIT) and now of Northwestern University),
the extreme efficiency of the approach - particularly when applied to control/manoeuvre and navigation
of fast moving robots in an actual operational environment - became a reality. Based in part on animal
ethology, the approach, which is also called the behavior-based approach, drastically differs from methods
used in more conventional image processing and similar vision systems, not only at the technological
level but also in science and philosophy.
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