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/ http://irep.iium.edu.my/49880/ http://irep.iium.edu.my/49880/ http://irep.iium.edu.my/49880/1/49880_-_Path_Planning_for_Visually_Impaired_People_in_an_Unfamiliar.pdf

id	iium-49880
recordtype	eprints
spelling	iium-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 PeerReviewed 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
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
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/ http://irep.iium.edu.my/49880/ http://irep.iium.edu.my/49880/ http://irep.iium.edu.my/49880/1/49880_-_Path_Planning_for_Visually_Impaired_People_in_an_Unfamiliar.pdf
first_indexed	2023-09-18T21:10:28Z
last_indexed	2023-09-18T21:10:28Z
_version_	1777411218137415680

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

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