dc.contributor.author | Kuriakose, Bineeth | |
dc.contributor.author | Shrestha, Raju | |
dc.contributor.author | Sandnes, Frode Eika | |
dc.date.accessioned | 2022-08-30T08:46:54Z | |
dc.date.available | 2022-08-30T08:46:54Z | |
dc.date.created | 2022-06-20T09:46:27Z | |
dc.date.issued | 2022-06-16 | |
dc.identifier.isbn | 978-3-031-05038-1 | |
dc.identifier.isbn | 978-3-031-05039-8 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.issn | 1611-3349 | |
dc.identifier.uri | https://hdl.handle.net/11250/3014284 | |
dc.description.abstract | People 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.iso | eng | en_US |
dc.publisher | Springer | en_US |
dc.relation.ispartof | Universal Access in Human-Computer Interaction. User and Context Diversity | |
dc.relation.ispartofseries | Lecture Notes in Computer Science;Volume 13309 | |
dc.subject | Navigation | en_US |
dc.subject | Visually impaired users | en_US |
dc.subject | LiDAR | en_US |
dc.subject | Deep learning | en_US |
dc.subject | Assistive technology | en_US |
dc.subject | Obstacle detection | en_US |
dc.subject | Distance estimation | en_US |
dc.title | LiDAR-Based Obstacle Detection and Distance Estimation in Navigation Assistance for Visually Impaired | en_US |
dc.type | Conference object | en_US |
dc.description.version | acceptedVersion | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |
dc.identifier.doi | https://doi.org/10.1007/978-3-031-05039-8_35 | |
dc.identifier.cristin | 2033257 | |
dc.source.journal | Lecture Notes in Computer Science | en_US |
dc.source.volume | 13309 | en_US |
dc.source.pagenumber | 479-491 | en_US |