Title :
Detecting Region Transitions for Human-Augmented Mapping
Author :
Topp, Elin A. ; Christensen, Henrik I.
Author_Institution :
Centre for Autonomous Syst., R. Inst. of Technol. (KTH), Stockholm, Sweden
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.
Keywords :
human-robot interaction; mobile robots; service robots; door-passage-independent detection; feature-based representation; human-augmented mapping; region transition detection; Human--robot interface; semantic mapping; space segmentation;
Journal_Title :
Robotics, IEEE Transactions on
DOI :
10.1109/TRO.2010.2049178