Detection and Classification of Gateways for the Acquisition of Structured Robot Maps

Derik Schröter, Thomas Weber, Michael Beetz, Bernd Radig

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

10 Scopus citations

Abstract

The automatic acquisition of structured object maps requires sophisticated perceptual mechanisms that enable the robot to recognize the objects that are to be stored in the robot map. This paper investigates a particular object recognition problem: the automatic detection and classification of gateways in office environments based on laser range data. We will propose, discuss, and empirically evaluate a sensor model for crossing gateways and different approaches to gateway classification including simple maximum classifiers and HMM-based classification of observation sequences.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsCarl Edward Rasmussen, Heinrich H. Bulthoff, Bernhard Scholkopf, Martin A. Giese
PublisherSpringer Verlag
Pages553-561
Number of pages9
ISBN (Print)3540229450, 9783540229452
DOIs
StatePublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3175
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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