Robot navigation in the environment with obstacles is still a challenging problem. In this
paper, the navigation problems with wheeled mobile robots (WMRs) are reviewed, the …

Stereo vision, resulting in the knowledge of deep information in a scene, is of great
importance in the field of machine vision, robotics and image analysis. In this article, an …

Obstacle detection is an essential element for the development of intelligent transportation
systems so that accidents can be avoided. In this paper, we propose a stereovision-based …

A vision-based obstacle detection system is a key enabler for the development of
autonomous robots and vehicles and intelligent transportation systems. This paper …

This paper describes the application of cellular automata (CA) to various image processing
tasks such as denoising and feature detection. Whereas our previous work mainly dealt with …

Illegal migration as well as wildfires constitute commonplace situations in southern
European countries, where the mountainous terrain and thick forests make the surveillance …

This paper studies the on-chip realisation of a dynamic model proposed to simulate crowd
behaviour, originated from electrostatic-induced potential fields. It is based on cellular …

For many applications in low-power real-time robotics, stereo cameras are the sensors of
choice for depth perception as they are typically cheaper and more versatile than their active …

This paper presents a new hardware-oriented approach for the extraction of disparity maps
from stereo images. The proposed method is based on the herein named Adaptive Census …

Stereo matching is one of the most used algorithms in real-time image processing
applications such as positioning systems for mobile robots, three-dimensional building …