Dynamic machine vision is going to achieve a new level of performance. Increasing computing power by an order of magnitude every 4 - 5 years will allow robust and reliable real-world applications not too far into the future. The 4-D approach naturally lends itself for realizing in technical systems the equivalent of vertebrate vision in biology. The' MarVEye' camera configuration realized with three to four conventional miniature CCD-TV-cameras mounted fix relative to each other on a high bandwidth pan-and-tilt platform is discussed. A saccadic type of vision with intermittent phases of fast saccades and smooth pursuit does complicate image sequence interpretation however, with explicit spatio-temporal representations available in the 4-D approach this can be handled in a straightforward way. The newly developed machine vision system based on COTS-PC-hardware and object-oriented programming is described. Applications of this 'vertebrate'-type vision system in the field of road vehicle guidance are presented.
Expectation-based, multi-focal, saccadic (EMS) vision for ground vehicle guidance
Neu entwickeltes Bilderkennungssystem für die Straßenfahrzeug-Führung
2000
6 Seiten, 7 Bilder, 10 Quellen
Aufsatz (Konferenz)
Englisch
Auswertung , automatische Auswertung , Bildanalyse , CCD-Bildwandler , dreidimensionale Darstellung , Fernsehkamera , Führungssystem , Kamera , Mustererkennung , objektorientierte Programmierung , Sehen , Straßenfahrzeug , Systemintegration , visuelle Zeichenerkennung , Weitwinkelobjektiv , Zeitkorrelation
Expectation-Based, Multi-Focal, Saccadic (EMS-) Vision for Vehicle Guidance
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