Interlaced roads and unexpected obstacles restrict the blind from traveling. Existing outdoor
blind auxiliary systems are bulky or costly, and some of them cannot even feedback the type …

Blind navigation has become a challenging task in the present. Blind people cannot detect
and avoid obstacles similar to the people with good vision and they need guidance to avoid …

To accomplish the task of detecting and avoiding road signs by mobile robots for
autonomous running, in this paper, we propose a method of road sign detection and visual …

Using stereo cameras and Convolutional Neural Networks, we present an AI-based obstacle
detection and navigation system for the visually handicapped (CNN). The technology will …

The blind encounter commuting risks, such as failing to recognize and avoid obstacles while
walking, but protective support systems are lacking. Acoustic signals at crosswalk lights are …

Nowadays, the number of visually impaired people is increasing day by day. On average,
one in every 100 people is blind. At the same time, due to the imperfect establishment of …

Nowadays, according to the report of world health organization, about 1.35 million people
die in traffic accidents every year. Among them, because of it is difficult to predict in advance …

In this study, a smart assistive device is designed to recognize pedestrian signal and to
provide audio instructions for visually impaired people in crossing streets safely. Walking …

In this study, we propose an assistive system for helping visually impaired people walk
outdoors. This assistive system contains an embedded system—Jetson AGX Xavier …

In order to complete the real-time traffic light command task accurately, flexibly and
efficiently, machine vision is introduced to design a set of intelligent traffic light control …