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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