A survey on robot semantic navigation systems for indoor environments

R Alqobali, M Alshmrani, R Alnasser, A Rashidi… - Applied Sciences, 2023 - mdpi.com
Robot autonomous navigation has become a vital area in the industrial development of
minimizing labor-intensive tasks. Most of the recently developed robot navigation systems …

Recent advancements in deep learning applications and methods for autonomous navigation: A comprehensive review

AA Golroudbari, MH Sabour - arXiv preprint arXiv:2302.11089, 2023 - arxiv.org
This review article is an attempt to survey all recent AI based techniques used to deal with
major functions in This review paper presents a comprehensive overview of end-to-end …

An evaluation of retinanet on indoor object detection for blind and visually impaired persons assistance navigation

M Afif, R Ayachi, Y Said, E Pissaloux, M Atri - Neural Processing Letters, 2020 - Springer
Indoor object detection presents a computer vision task that deals with the detection of
specific indoor classes. This task attracts a lot of attention, especially in the last few years …

Deep learning based application for indoor scene recognition

M Afif, R Ayachi, Y Said, M Atri - Neural Processing Letters, 2020 - Springer
Recognizing indoor scene and objects and estimating their poses present a wide range of
applications in robotic field. This task becomes more challenging especially in cluttered …

Design of a face recognition system based on convolutional neural network (CNN)

Y Said, M Barr, HE Ahmed - Engineering, Technology & Applied Science …, 2020 - etasr.com
Face recognition is an important function of video surveillance systems, enabling verification
and identification of people who appear in a scene often captured by a distributed network of …

An efficient object detection system for indoor assistance navigation using deep learning techniques

M Afif, R Ayachi, Y Said, E Pissaloux, M Atri - Multimedia Tools and …, 2022 - Springer
Building new systems used for indoor objects detection and indoor assistance navigation
presents a very crucial task especially in artificial intelligence and computer science fields …

Recognizing signs and doors for indoor wayfinding for blind and visually impaired persons

M Afif, Y Said, E Pissaloux, M Atri - 2020 5th International …, 2020 - ieeexplore.ieee.org
Indoor signage plays an essential component to find destination for blind and visually
impaired people. In this paper, we propose an indoor signage and doors detection system in …

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 …

Experimental study on shoe based navigation system for the visually impaired

L Raja, R Santhosh - Materials Today: Proceedings, 2021 - Elsevier
Abstract World Health Organization statistics show that 37 million individuals in world are
affected by blindness. People with partial as well as complete visual impairment are usually …

A transfer learning approach for indoor object identification

M Afif, R Ayachi, Y Said, M Atri - SN Computer Science, 2021 - Springer
Accessing new indoor environments is a well-known challenge for blind and visually
impaired persons (VIP). In this work, we propose a new computer vision-based indoor object …