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Path planning for visually impaired people in an unfamiliar environment using particle swarm optimization

Exploring a new environment is a huge challenge for the visually impaired. Hence there is a need for a system that is able to assist them safely during their journey. Here, in this paper, we propose a path planning with predetermined waypoints method using Particle Swarm Optimization (PSO) algorithm...

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Main Authors: Yusof, T. S. T., Toha, Siti Fauziah, Md. Yusof, Hazlina
Format: Article
Language:English
Published: Elsevier Ltd. 2015
Subjects:
T Technology (General)
Online Access:http://irep.iium.edu.my/49880/1/49880_-_Path_Planning_for_Visually_Impaired_People_in_an_Unfamiliar.pdf
http://irep.iium.edu.my/49880/
http://www.sciencedirect.com/science/article/pii/S1877050915037825
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spelling my.iium.irep.498802017-11-15T09:15:33Z http://irep.iium.edu.my/49880/ Path planning for visually impaired people in an unfamiliar environment using particle swarm optimization Yusof, T. S. T. Toha, Siti Fauziah Md. Yusof, Hazlina T Technology (General) Exploring a new environment is a huge challenge for the visually impaired. Hence there is a need for a system that is able to assist them safely during their journey. Here, in this paper, we propose a path planning with predetermined waypoints method using Particle Swarm Optimization (PSO) algorithm. This method computes shortest possible path given the predetermined waypoints from initial position to final position. By using predetermined waypoints which is a collection of coordinates along the pedestrian walkaway, a resulting accessible pedestrian path could be offered to the visually impaired. The system consists of a destination selection process and path planning process. For the destination selection process, a list of available places is given and the user will select the places that they want to visit from the list. The path planning process calculates path length between all nodes which includes predetermined waypoints, start point and final destination using Euclidean distance formula. The PSO algorithm will optimise possible shortest route by minimizing the total cost for path length. The simulation analyses of the proposed method have shown promising results of optimal route for different destinations. Results from this paper will be used further to explore the potential development of path guidance system for the visually impaired people by allowing them to travel independently in an unfamiliar environment. Elsevier Ltd. 2015 Article REM application/pdf en http://irep.iium.edu.my/49880/1/49880_-_Path_Planning_for_Visually_Impaired_People_in_an_Unfamiliar.pdf Yusof, T. S. T. and Toha, Siti Fauziah and Md. Yusof, Hazlina (2015) Path planning for visually impaired people in an unfamiliar environment using particle swarm optimization. Procedia Computer Science, 76. pp. 80-86. ISSN 1877-0509 http://www.sciencedirect.com/science/article/pii/S1877050915037825 10.1016/j.procs.2015.12.281
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Yusof, T. S. T.
Toha, Siti Fauziah
Md. Yusof, Hazlina
Path planning for visually impaired people in an unfamiliar environment using particle swarm optimization
description Exploring a new environment is a huge challenge for the visually impaired. Hence there is a need for a system that is able to assist them safely during their journey. Here, in this paper, we propose a path planning with predetermined waypoints method using Particle Swarm Optimization (PSO) algorithm. This method computes shortest possible path given the predetermined waypoints from initial position to final position. By using predetermined waypoints which is a collection of coordinates along the pedestrian walkaway, a resulting accessible pedestrian path could be offered to the visually impaired. The system consists of a destination selection process and path planning process. For the destination selection process, a list of available places is given and the user will select the places that they want to visit from the list. The path planning process calculates path length between all nodes which includes predetermined waypoints, start point and final destination using Euclidean distance formula. The PSO algorithm will optimise possible shortest route by minimizing the total cost for path length. The simulation analyses of the proposed method have shown promising results of optimal route for different destinations. Results from this paper will be used further to explore the potential development of path guidance system for the visually impaired people by allowing them to travel independently in an unfamiliar environment.
format Article
author Yusof, T. S. T.
Toha, Siti Fauziah
Md. Yusof, Hazlina
author_facet Yusof, T. S. T.
Toha, Siti Fauziah
Md. Yusof, Hazlina
author_sort Yusof, T. S. T.
title Path planning for visually impaired people in an unfamiliar environment using particle swarm optimization
title_short Path planning for visually impaired people in an unfamiliar environment using particle swarm optimization
title_full Path planning for visually impaired people in an unfamiliar environment using particle swarm optimization
title_fullStr Path planning for visually impaired people in an unfamiliar environment using particle swarm optimization
title_full_unstemmed Path planning for visually impaired people in an unfamiliar environment using particle swarm optimization
title_sort path planning for visually impaired people in an unfamiliar environment using particle swarm optimization
publisher Elsevier Ltd.
publishDate 2015
url http://irep.iium.edu.my/49880/1/49880_-_Path_Planning_for_Visually_Impaired_People_in_an_Unfamiliar.pdf
http://irep.iium.edu.my/49880/
http://www.sciencedirect.com/science/article/pii/S1877050915037825
_version_ 1643613615716040704
score 13.211869

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