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dc.contributor.authorKuriakose, Bineeth
dc.contributor.authorShrestha, Raju
dc.contributor.authorSandnes, Frode Eika
dc.date.accessioned2022-08-30T08:46:54Z
dc.date.available2022-08-30T08:46:54Z
dc.date.created2022-06-20T09:46:27Z
dc.date.issued2022-06-16
dc.identifier.isbn978-3-031-05038-1
dc.identifier.isbn978-3-031-05039-8
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttps://hdl.handle.net/11250/3014284
dc.description.abstractPeople with visual impairments can face challenges with independent navigation and therefore may use traditional aids such as guide dogs, white canes, or a travel companion for navigation assistance. In recent years, researchers have been working on AI-based navigation assistance systems. Obstacle detection and distance estimation are two of the key challenges in such systems. In this paper, we describe a LiDAR-based obstacle detection and distance estimation technique. A lightweight deep learning-based model called EfficientDet-LiteV4 is used for obstacle detection, and a depth map from the LiDAR is used to estimate the distance to the obstacles. We have implemented and tested the approach with the LiDAR integrated into a Raspberry Pi4 board. The results show good accuracy in detecting the obstacles and in estimating distance.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.ispartofUniversal Access in Human-Computer Interaction. User and Context Diversity
dc.relation.ispartofseriesLecture Notes in Computer Science;Volume 13309
dc.subjectNavigationen_US
dc.subjectVisually impaired usersen_US
dc.subjectLiDARen_US
dc.subjectDeep learningen_US
dc.subjectAssistive technologyen_US
dc.subjectObstacle detectionen_US
dc.subjectDistance estimationen_US
dc.titleLiDAR-Based Obstacle Detection and Distance Estimation in Navigation Assistance for Visually Impaireden_US
dc.typeChapteren_US
dc.typePeer revieweden_US
dc.typeConference objecten_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.fulltextpostprint
cristin.qualitycode1
dc.identifier.doihttps://doi.org/10.1007/978-3-031-05039-8_35
dc.identifier.cristin2033257
dc.source.journalLecture Notes in Computer Scienceen_US
dc.source.volume13309en_US
dc.source.pagenumber479-491en_US


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