This paper presents a study on the development of an obstacle-avoidance navigation
system for autonomous navigation in home environments. The system utilizes vision-based …

Autonomous mobile robots are required to move throughout map the environment, locate
themselves, and plan paths between positions. Vision stands out among the other senses …

In this paper, we introduce an approach to efficient robot navigation through cluttered indoor
environments. We propose to estimate local obstacle densities based on already detected …

This work presents different approaches to the obstacle avoidance algorithm for a robot that
moves in an unknown, unstructured indoor environment. The first step is the investigation …

Robot navigation is one of the most studied problems in robotics and the key capability for
robot autonomy. Navigation techniques have become more and more reliable, but …

As a fundamental research topic, autonomous indoor robot navigation continues to be a
challenge in unconstrained real-world indoor environments. Although many models for map …

In this paper we present a vision-based navigation system for mobile robots equipped with a
single, off-the-shelf camera in mixed indoor/outdoor environments. A hybrid approach is …

This chapter introduces the basic concepts of autonomous navigation of mobile robots and
the utility of using vision as the sensing mechanism in achieving the desired objectives. The …

Accurate navigation is crucial to successfully deploying autonomous vehicles but is often
limited by GPS reliance. The purpose of this thesis was to develop an image-based …

In this work is presented a novel platform able to navigate autonomously in unknown indoor
environments. The system has been designed as a framework with different interconnected …