Dickmanns 1990b : 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 to 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 one is discussed to some extent.