Detecting region transitions for human-augmented mapping

Authors:
Elin A. Topp;Henrik I. Christensen
Affiliations:
Department of Computer Science, Lund University, Lund, Sweden and Centre for Autonomous Systems, Royal Institute of Technology, Stockholm, Sweden;College of Computing, Georgia Institute of Technology, Atlanta, GA
Venue:
IEEE Transactions on Robotics
Year:
2010

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Abstract

In this paper, we describe a concise method for the feature-based representation of regions in an indoor environment and show how it can also be applied for door-passage-independent detection of transitions between regions to improve communication with a human user.