Developing walking assistants for visually impaired people: A review

MM Islam, MS Sadi, KZ Zamli… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
The development of walking assistants for visually impaired people has become a
prominent research area due to the rapid growth of these individuals in recent decades …

Automated walking guide to enhance the mobility of visually impaired people

MM Islam, MS Sadi, T Bräunl - IEEE Transactions on Medical …, 2020 - ieeexplore.ieee.org
This paper has shown the implementation detail of a spectacle prototype to assist the
visually impaired people with safe and efficient walking in the surrounding's environment …

Vision transformer customized for environment detection and collision prediction to assist the visually impaired

N Bayat, JH Kim, R Choudhury, IF Kadhim… - Journal of …, 2023 - mdpi.com
This paper presents a system that utilizes vision transformers and multimodal feedback
modules to facilitate navigation and collision avoidance for the visually impaired. By …

Visual SLAM with BoPLW pairs using egocentric stereo camera for wearable-assisted substation inspection

K Qian, W Zhao, K Li, X Ma, H Yu - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
The combination of wearable sensors and Augmented Reality (AR) technology has shown
promising prospects in assisting substation inspection, especially when the tasks are …

Efficient In-Context Learning in Vision-Language Models for Egocentric Videos

KP Yu, Z Zhang, F Hu, J Chai - arXiv preprint arXiv:2311.17041, 2023 - arxiv.org
Recent advancements in text-only large language models (LLMs) have highlighted the
benefit of in-context learning for adapting to new tasks with a few demonstrations. However …

Visual loop closure detection with instance segmentation and image inpainting in dynamic scenes using wearable camera

Y Zhang, R Liu, H Yu, B Zhou, K Qian - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Dynamic interference is an important factor that affects the accuracy of loop closure
detection in visual SLAM. Traditional methods that remove the feature points in dynamic …

Deep learning-based obstacle detection and classification with portable uncalibrated patterned light

M Cornacchia, B Kakillioglu, Y Zheng… - IEEE Sensors …, 2018 - ieeexplore.ieee.org
Autonomous navigation and obstacle avoidance systems are critically relevant and
important for visually impaired people, assisted driving applications, and autonomous …

Ambiguity-free optical–inertial tracking for augmented reality headsets

F Cutolo, V Mamone, N Carbonaro, V Ferrari… - Sensors, 2020 - mdpi.com
The increasing capability of computing power and mobile graphics has made possible the
release of self-contained augmented reality (AR) headsets featuring efficient head-anchored …

Stereo visual odometry based on motion decoupling and special feature screening for navigation of autonomous vehicles

W Ci, Y Huang, X Hu - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
Visual odometry uses image information to estimate the ego-motion of a camera and is a
practical technique for the navigation of autonomous vehicles. This paper presents a novel …

A large-scale virtual dataset and egocentric localization for disaster responses

HG Jeon, S Im, BU Lee, F Rameau… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
With the increasing social demands of disaster response, methods of visual observation for
rescue and safety have become increasingly important. However, because of the shortage …