Innovative algorithm for easing VIP's navigation by avoiding obstacles and finding safe routes

Big data; Bioinformatics; Computer vision; Image matching; Navigation; Obstacle detectors; Units of measurement; Autonomous Vehicles; Ground planes; Obstacle detection; RANSAC; Visually impaired persons; Algorithms

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Bibliographic Details
Main Authors: Dooraki A.R., Hooshyar D., Yousefi M.
Other Authors: 57189250021
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-228422023-05-29T14:12:38Z Innovative algorithm for easing VIP's navigation by avoiding obstacles and finding safe routes Dooraki A.R. Hooshyar D. Yousefi M. 57189250021 56572940600 53985756300 Big data; Bioinformatics; Computer vision; Image matching; Navigation; Obstacle detectors; Units of measurement; Autonomous Vehicles; Ground planes; Obstacle detection; RANSAC; Visually impaired persons; Algorithms Computer vision is the area of imitation of biological vision system using computer algorithms and technologies. One of the main usages of this innovative technology is for navigation. Some of the cardinal and challenging parts in navigation are recognition of safe routes and distinguishing them from obstacles. In this paper an innovative algorithm is described and developed for this purpose. This algorithm can be utilized in camera based electronic travel aid (ETA) devices or autonomous vehicles. Furthermore, the focus here is to use this algorithm in an ETA device for helping visually impaired person (VIP). Different methods and techniques can be used in order to develop such an algorithm. Here, the algorithm is designed in a way that generates depth map using block matching technique and process it using Random Sample Consensus (RANSAC) with extra criteria obtained from Inertial Measurement Unit (IMU) in order to extract the ground plane and discover the obstacles. Finally, the algorithm is implemented in a prototype and several experiments are performed in order to measure the process time and success rate. � 2015 IEEE. Final 2023-05-29T06:12:38Z 2023-05-29T06:12:38Z 2016 Conference Paper 10.1109/ICSITech.2015.7407832 2-s2.0-84966680888 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84966680888&doi=10.1109%2fICSITech.2015.7407832&partnerID=40&md5=79e722c7c3bc4499d482b55d083ce2f1 https://irepository.uniten.edu.my/handle/123456789/22842 7407832 357 362 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Big data; Bioinformatics; Computer vision; Image matching; Navigation; Obstacle detectors; Units of measurement; Autonomous Vehicles; Ground planes; Obstacle detection; RANSAC; Visually impaired persons; Algorithms
author2 57189250021
author_facet 57189250021
Dooraki A.R.
Hooshyar D.
Yousefi M.
format Conference Paper
author Dooraki A.R.
Hooshyar D.
Yousefi M.
spellingShingle Dooraki A.R.
Hooshyar D.
Yousefi M.
Innovative algorithm for easing VIP's navigation by avoiding obstacles and finding safe routes
author_sort Dooraki A.R.
title Innovative algorithm for easing VIP's navigation by avoiding obstacles and finding safe routes
title_short Innovative algorithm for easing VIP's navigation by avoiding obstacles and finding safe routes
title_full Innovative algorithm for easing VIP's navigation by avoiding obstacles and finding safe routes
title_fullStr Innovative algorithm for easing VIP's navigation by avoiding obstacles and finding safe routes
title_full_unstemmed Innovative algorithm for easing VIP's navigation by avoiding obstacles and finding safe routes
title_sort innovative algorithm for easing vip's navigation by avoiding obstacles and finding safe routes
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806428357403869184
score 13.214268