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

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dc.citedby2
dc.contributor.authorDooraki A.R.en_US
dc.contributor.authorHooshyar D.en_US
dc.contributor.authorYousefi M.en_US
dc.contributor.authorid57189250021en_US
dc.contributor.authorid56572940600en_US
dc.contributor.authorid53985756300en_US
dc.date.accessioned2023-05-29T06:12:38Z
dc.date.available2023-05-29T06:12:38Z
dc.date.issued2016
dc.descriptionBig data; Bioinformatics; Computer vision; Image matching; Navigation; Obstacle detectors; Units of measurement; Autonomous Vehicles; Ground planes; Obstacle detection; RANSAC; Visually impaired persons; Algorithmsen_US
dc.description.abstractComputer 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.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7407832
dc.identifier.doi10.1109/ICSITech.2015.7407832
dc.identifier.epage362
dc.identifier.scopus2-s2.0-84966680888
dc.identifier.spage357
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84966680888&doi=10.1109%2fICSITech.2015.7407832&partnerID=40&md5=79e722c7c3bc4499d482b55d083ce2f1
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22842
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleProceedings - 2015 International Conference on Science in Information Technology: Big Data Spectrum for Future Information Economy, ICSITech 2015
dc.titleInnovative algorithm for easing VIP's navigation by avoiding obstacles and finding safe routesen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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