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Textual Signs Reading for Indoor Semantic Map Construction

by Basem Ibraheem, Abeer Hamdy, Nevien Darwish
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 53 - Number 10
Year of Publication: 2012
Authors: Basem Ibraheem, Abeer Hamdy, Nevien Darwish
10.5120/8459-2268

Basem Ibraheem, Abeer Hamdy, Nevien Darwish . Textual Signs Reading for Indoor Semantic Map Construction. International Journal of Computer Applications. 53, 10 ( September 2012), 36-43. DOI=10.5120/8459-2268

@article{ 10.5120/8459-2268,
author = { Basem Ibraheem, Abeer Hamdy, Nevien Darwish },
title = { Textual Signs Reading for Indoor Semantic Map Construction },
journal = { International Journal of Computer Applications },
issue_date = { September 2012 },
volume = { 53 },
number = { 10 },
month = { September },
year = { 2012 },
issn = { 0975-8887 },
pages = { 36-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume53/number10/8459-2268/ },
doi = { 10.5120/8459-2268 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:53:47.654657+05:30
%A Basem Ibraheem
%A Abeer Hamdy
%A Nevien Darwish
%T Textual Signs Reading for Indoor Semantic Map Construction
%J International Journal of Computer Applications
%@ 0975-8887
%V 53
%N 10
%P 36-43
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Semantic maps have come up to facilitate high-level human robot interaction like "deliver a laptop for maintenance". Textual signs posted on the walls and room doors in indoor environments are environment features that could be easily identified by service robots. These signs provide some semantic information like the function of the room and its occupants. In addition, they consider landmarks for the service robots. This paper is a continuous work of developing a framework for creating a semantic map for indoor environment using mobile robot [17]. The paper addresses the problem of automatically detecting and recognizing textual signs during robotic mapping. Then, annotating these recognized signs to a previously generated robotic grid map. ATRV-mini robot has been used in our experiments.

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Index Terms

Computer Science
Information Sciences

Keywords

Mobile Robot Map Learning NNet ATRV-mini Semantic Map OCR

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