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 …

In smart cities, there are always unpredicted emergencies, which must be handled to
maintain the regular order. Then a smart system is needed to detect threats and deal with …

Human detection methods are widely used in various fields such as autonomous vehicles,
video surveillance, and rescue systems. To provide a more effective detection system …

This paper presents a vision-based methodology which makes use of a stereo camera rig
and a one dimension LiDAR to estimate free obstacle areas for a quadrotor navigation. The …

The world's population is growing every day, and so is the number of patients. People's life
expectancy is increasing due to technology's welfare, but the problem is that the health …

In the domain of mobile robot navigation, conventional path-planning algorithms typically
rely on predefined rules and prior map information, which exhibit significant limitations when …

Stroke survivors or patients suffering from paralyses face a lot of challenges when it comes
to mobility. Autonomous vehicle technologies can help to increase the accessibility for …

In robotic grasping and manipulation, the knowledge of a precise object pose represents a
key issue. The point acquires even more importance when the objects and, then, the …

The artificial intelligence of robot is the weakness of digital intelligence of a person who able
to train, self-realize and to develop competences, creative, professional and behavioral …

In the trade centre, there are always unannounced emergencies that need to be addressed
to maintain order. Therefore, a smart system is required to detect threats and deal with them …