Pathfinder: Designing a map-less navigation system for blind people in unfamiliar buildings

M Kuribayashi, T Ishihara, D Sato… - Proceedings of the …, 2023 - dl.acm.org
Indoor navigation systems with prebuilt maps have shown great potential in navigating blind
people even in unfamiliar buildings. However, blind people cannot always benefit from them …

WorldScribe: Towards Context-Aware Live Visual Descriptions

RC Chang, Y Liu, A Guo - Proceedings of the 37th Annual ACM …, 2024 - dl.acm.org
Automated live visual descriptions can aid blind people in understanding their surroundings
with autonomy and independence. However, providing descriptions that are rich, contextual …

A dataset for the recognition of obstacles on blind sidewalk

W Tang, D Liu, X Zhao, Z Chen, C Zhao - Universal Access in the …, 2023 - Springer
Recently, the technology of assisting the navigation of visually impaired persons with
computer vision has been greatly developed. A number of scholars have conducted related …

An evaluation of EfficientDet for object detection used for indoor robots assistance navigation

M Afif, R Ayachi, Y Said, M Atri - Journal of Real-Time Image Processing, 2022 - Springer
Indoor object detection and recognition present one of the most crucial tasks for computer
vision and robotic systems. Developing new intelligent autonomous robots is required in …

3DMovieMap: an Interactive Route Viewer for Multi-Level Buildings

S Kayukawa, K Higuchi, S Morishima… - Extended Abstracts of the …, 2023 - dl.acm.org
We present an interactive route viewer system, 3DMovieMap, which generates and shows
navigation movies walking through multi-level buildings, such as a science museum, airport …

DPPNet: A Deformable-Perspective-Perception network for Safety Helmet Violation Detection

Y Alassaf, Y Said - Engineering, Technology & Applied Science …, 2024 - etasr.com
The issue of worker safety at construction sites has become increasingly prominent within
the construction industry. Safety helmet usage has been shown to reduce accidents among …

An Efficient Breast Cancer Segmentation System based on Deep Learning Techniques

SM Shaaban, M Nawaz, Y Said, M Barr - Engineering, Technology & …, 2023 - etasr.com
Breast cancer is one of the major threats that attack women around the world. Its detection
and diagnosis in the early stages can greatly improve care efficiency and reduce mortality …

Smart text reader system for people who are blind using machine and deep learning

Z Raisi, MA Naiel, G Younes… - … Algorithms for Signal …, 2022 - Wiley Online Library
Summary The World Health Organization (WHO) estimates that more than one‐sixth of the
world's population suffers from some form of visual impairment worldwide. With such a large …

Stair detection and classification using deep neural network for the visually impaired

A Gaikwad, VV Gohokar, R Kute… - Nveo-Natural Volatiles & …, 2021 - nveo.org
Stair case detection is very challenging task for visually impaired people. It plays very
important role to avoid accidents. Detecting stairs are comparatively easy but classification …

A transfer learning approach for smart home application based on evolutionary algorithms

M Afif, R Ayachi, Y Said, M Atri - … of Research on AI Methods and …, 2023 - igi-global.com
Building new systems used for indoor sign recognition and indoor wayfinding assistance
navigation, especially for blind and visually impaired persons, presents a very important …