Mobile robots require the ability to make decisions such as "go
through the hedges" or "go around the brick wall." Mobile Robot
Navigation with Intelligent Infrared Image Interpretation describes
in detail an alternative to GPS navigation: a physics-based
adaptive Bayesian pattern classification model that uses a passive
thermal infrared imaging system to automatically characterize
non-heat generating objects in unstructured outdoor environments
for mobile robots. The resulting classification model complements
an autonomous robot's situational awareness by providing the
ability to classify smaller structures commonly found in the
immediate operational environment.
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