Real-time machine vision is discussed in the framework of intelligence for motion control. Remote sensing and internal representation of the spatio-temporal environment including objects and agents (subjects) in the interpretation process are considered to be vital ingredients of intelligence. A prediction-error-feedback scheme has been developed for the realization of real-time vision with moderate computing power needed, utilizing high level spatio-temporal world models. Applications investigated are: road vehicle guidance including reactions to obstacles (stopping, convoy driving and passing), vehicle docking (satellite model plant) and aircraft landing (hardware-in-the-loop simulation). The first of these is discussed in particular.
Dynamic vision for intelligent motion control
Maschinelles Sehen im Echtzeitbetrieb für eine intelligente Bewegungsregelung
1990
, 14 Quellen
vol.1
Aufsatz (Konferenz)
Englisch
FAHRZEUGFUEHRUNG , FERNLENKUNG , STRASSENFAHRZEUG , ECHTZEITBETRIEB , BEWEGUNGSABLAUF , BEWEGUNGSANALYSE , MATHEMATISCHES MODELL , ENTSCHEIDUNGSFINDUNG , RECHNERUNTERSTUETZUNG , BILDERKENNUNG , BILDVERARBEITUNG , EXPERTENSYSTEM , MASCHINELLES SEHEN , DIGITALE BILDVERARBEITUNG , TELEMETRIE , DIGITALE BILDERKENNUNG , HARDWARE-IN-THE-LOOP SIMULATION
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