Semantic mapping with a probabilistic description logic

Rodrigo Polastro, Fabiano Corrêa, Fabio Cozman, Jun Okamoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Semantic mapping employs explicit labels to deal with sensor data in robotic mapping processes. In this paper we present a method for boosting performance of spatial mapping, through the use of a probabilistic ontology, expressed with a probabilistic description logic. Reasoning with this ontology allows segmentation and tagging of sensor data acquired by a robot during navigation; hence a robot can construct metric maps topologically. We report experiments with a real robot to validate our approach, thus moving closer to the goal of integrating mapping and semantic labeling processes. © 2010 Springer-Verlag.
Original languageAmerican English
Title of host publicationSemantic mapping with a probabilistic description logic
Pages62-71
Number of pages10
ISBN (Electronic)3642161375, 9783642161377
DOIs
StatePublished - 14 Dec 2010
Externally publishedYes
EventLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -
Duration: 1 Jan 2018 → …

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6404 LNAI
ISSN (Print)0302-9743

Conference

ConferenceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Period1/01/18 → …

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