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Detecting Region Transitions for Human-Augmented Mapping

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2 Author(s)
Elin A. Topp ; Centre for Autonomous Systems , Royal Institute of Technology (KTH), Stockholm, Sweden ; Henrik I. Christensen

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.

Published in:

IEEE Transactions on Robotics  (Volume:26 ,  Issue: 4 )