Buch, Englisch, 274 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 679 g
ISBN: 978-1-84882-508-6
Verlag: Springer
Mobile robots require the ability to make decisions such as "go through the hedges" or "go around the brick wall." 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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Research
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Weitere Infos & Material
and Overview.- Data Acquisition.- Thermal Feature Generation.- Thermal Feature Selection.- Adaptive Bayesian Classification Model.- Conclusions and Future Research Directions.