Evaluating techniques for resolving redundant information and specularity in occupancy grids

Authors:
Thomas Collins;J. J. Collins;Mark Mansfield;Shane O’Sullivan
Affiliations:
Department of Computer Science and Information Systems, University of Limerick, Limerick, Ireland;Department of Computer Science and Information Systems, University of Limerick, Limerick, Ireland;Department of Computer Science and Information Systems, University of Limerick, Limerick, Ireland;Dublin Software Lab, IBM, Mulhuddart, Dublin 15, Ireland
Venue:
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Year:
2005

Citing 2
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Abstract

In this paper we consider the effect that techniques designed to deal with the problems of redundant information and erroneous sensory data have on the results of robotic mapping. We accomplish this by evaluating several configurations of these techniques using identical test data. Through evaluating the results of these experiments using an extensible benchmarking suite, that our group has developed, we outline which technique yields the greatest environmental representational gain.