Intelligent Automatic Interpretation of Active Marine Sonar
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Abstract
This dissertation explores the problems raised by the design and
construction of a real-time sonar interpreter operating in a three dimensional
marine context, and then focusses on two major research
issues inherent in sonar interpretation: the treatment of observer
and object motion, and the efficient exploitation of the specularity
of acoustic reflection. The theoretical results derived in these
areas have been tested where appropriate by computer simulation.
In the context of mobile marine robotics, the registration of sensory
data obtained from differing viewpoints is of paramount importance.
Small marine vehicles of the type considered here do not
carry sophisticated navigational equipment, and cannot be held stationary
in the water for any length of time.
The viewpoint registration problem is defined and analysed in
terms of the new problem of motion resolution: the task of resolving
the apparent motion of objects into that part due to the movement of
the observer and that due to the objects' proper motion. Two solutions
to this under constrained problem are presented. The first
presupposes that the observer orientation is known ~ priori so that
only the translational observer motion must be determined. It is
applicable to two and three-dimensional situations. The second solution
determines both the translational and the rotational motion of
the observer, but is restricted to a two-dimensional situation. Both
solutions are based on target
extensively tested in two
tracking techniques, and have
dimensions by computer simulation.
been
The
necessary extensions to deal with full three-dimensional motion are
also discussed.
The second major research issue addressed in this thesis is the
efficient use of specularity. Specular echoes have a high intrinsic
information content because of the alignment conditions necessary for
their generation. In the marine acoustic context they provide a significant
proportion of the information available from an acoustic
ranger. I suggest a new method that uses directly the information
present in specular reflections and the history of the vehicle motion
to classify the specular echo sources and infer the local structure
of the objects bearing them. The method builds on the output of a
motion resolution system. Six distinct types of specular echo source
are described and three properties useful for their discrimination
are discussed. A suitable inference system for the analysis and
classification of specular echo sources is also proposed.
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