Despite significant recent developments, visual assistance systems are still severely
constrained by sensor capabilities, form factor, battery power consumption, computational …

The rapid emergence of head-mounted devices such as the Microsoft Holo-lens enables a
wide variety of continuous vision applications. Such applications often adopt deep-learning …

Assistive devices for visually impaired people (VIP) which support daily traveling and
improve social inclusion are developing fast. Most of them try to solve the problem of …

In this paper, we propose a deep learning based assistive system to improve the
environment perception experience of visually impaired (VI). The system is composed of a …

Blindness is very common and unendurable disability among many disabilities. According to
the World Health Organization (WHO), there are 285 million visually impaired people [1] …

Vision impairment is a major challenge faced by humanity on a large scale throughout the
world. Affected people find independently navigating and detecting obstacles extremely …

Internet of Things (IoT) devices, mobile phones, and robotic systems are often denied the
power of deep learning algorithms due to their limited computing power. However, to …

Technological advancements have brought about substantial changes to the accessibility
alternatives that cater to those with diverse abilities. The integration of artificial intelligence …

Visually impaired people are facing difficulties during day-to-day activities in terms of
traveling and receiving accurate information from their surroundings. Most of the time …

Information processing of guide dog robot requires expensive computing resources to meet
real-time performance. We propose an edge computing framework based on Intel Up …