A New Solution to Map Dynamic Indoor Environments

In this paper, we propose a new algorithm of mapping dynamic indoor environments. Instead of accurate but expensive laser, we employ sonar and camera to map dynamic structured indoor environments. Based on fuzzy-tuned grid-based map (FTGBM), we use two methods: sonar temporal difference (STD) and st...

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Main Authors: A.B. Rad, G.Q. Huang, Y.K. Wong
Format: Article
Language:English
Published: SAGE Publishing 2008-11-01
Series:International Journal of Advanced Robotic Systems
Subjects:
Online Access:http://www.intechopen.com/articles/show/title/a_new_solution_to_map_dynamic_indoor_environments
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author A.B. Rad
G.Q. Huang
Y.K. Wong
author_facet A.B. Rad
G.Q. Huang
Y.K. Wong
author_sort A.B. Rad
collection DOAJ
description In this paper, we propose a new algorithm of mapping dynamic indoor environments. Instead of accurate but expensive laser, we employ sonar and camera to map dynamic structured indoor environments. Based on fuzzy-tuned grid-based map (FTGBM), we use two methods: sonar temporal difference (STD) and statistical background subtraction (SBS), to detect and track moving objects when mapping dynamic environments. The former is a consistency-based method realized by monitoring a sequence of temporal lattice maps for a certain number of measurement periods to detect moving objects by using sonars; and the latter is a background subtraction technique which adopts an expectation maximization (EM) learned 3-class mixture of Gaussians to model the nonstationary background relied on sufficient update during mapping process. After finding the moving objects, we propose a fuzzy-tuned integration (FTI) method to incorporate the results of motion detection into the mapping process. The simulation and experiment demonstrate the capabilities of our approach.
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spelling doaj.art-8af14fe358eb453b9f9bf28bd53936792022-12-21T19:10:35ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88061729-88142008-11-0133A New Solution to Map Dynamic Indoor EnvironmentsA.B. RadG.Q. HuangY.K. WongIn this paper, we propose a new algorithm of mapping dynamic indoor environments. Instead of accurate but expensive laser, we employ sonar and camera to map dynamic structured indoor environments. Based on fuzzy-tuned grid-based map (FTGBM), we use two methods: sonar temporal difference (STD) and statistical background subtraction (SBS), to detect and track moving objects when mapping dynamic environments. The former is a consistency-based method realized by monitoring a sequence of temporal lattice maps for a certain number of measurement periods to detect moving objects by using sonars; and the latter is a background subtraction technique which adopts an expectation maximization (EM) learned 3-class mixture of Gaussians to model the nonstationary background relied on sufficient update during mapping process. After finding the moving objects, we propose a fuzzy-tuned integration (FTI) method to incorporate the results of motion detection into the mapping process. The simulation and experiment demonstrate the capabilities of our approach.http://www.intechopen.com/articles/show/title/a_new_solution_to_map_dynamic_indoor_environmentsMappingtrackingmobile robots
spellingShingle A.B. Rad
G.Q. Huang
Y.K. Wong
A New Solution to Map Dynamic Indoor Environments
International Journal of Advanced Robotic Systems
Mapping
tracking
mobile robots
title A New Solution to Map Dynamic Indoor Environments
title_full A New Solution to Map Dynamic Indoor Environments
title_fullStr A New Solution to Map Dynamic Indoor Environments
title_full_unstemmed A New Solution to Map Dynamic Indoor Environments
title_short A New Solution to Map Dynamic Indoor Environments
title_sort new solution to map dynamic indoor environments
topic Mapping
tracking
mobile robots
url http://www.intechopen.com/articles/show/title/a_new_solution_to_map_dynamic_indoor_environments
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