Detecting region transitions for human augmented mapping

Elin Anna Topp, Henrik Iskov Christensen

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Pages (from-to)715-720
JournalIEEE Transactions on Robotics
Volume26
Issue number4
DOIs
Publication statusPublished - 2010

Subject classification (UKÄ)

  • Computer Science

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