Title:
Automatic Landmark Detection for Topological Mapping Using Bayesian Surprise
Automatic Landmark Detection for Topological Mapping Using Bayesian Surprise
Author(s)
Ranganathan, Ananth
Dellaert, Frank
Dellaert, Frank
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Abstract
Topological maps are graphical representations of
the environment consisting of nodes that denote landmarks, and
edges that represent the connectivity between the landmarks.
Automatic detection of landmarks, usually special places in the
environment such as gateways, in a general, sensor-independent
manner has proven to be a difficult task. We present a landmark
detection scheme based on the notion of “surprise” that addresses
these issues. The surprise associated with a measurement is
defined as the change in the current model upon updating it
using the measurement. We demonstrate that surprise is large
when sudden changes in the environment occur, and hence, is a
good indicator of landmarks. We evaluate our landmark detector
using appearance and laser measurements both qualitatively
and quantitatively. Part of this evaluation is performed in the
context of a topological mapping algorithm, thus demonstrating
the practical applicability of the detector.
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Date Issued
2008
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Text
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Technical Report