Map-based navigation in a graphical MOO

A Self-Organizing Map Based Navigation System

Autonomous underwater vehicles (AUVs) have great advantages for activities in deep sea, and expected as the attractive tool. However, AUVs have various problems which should be solved. In this paper, the Self-Organizing Map (SOM) is applied as the clustering method for the navigation system. The SOM is known as one of the effective methods to extract the principle feature from many parameters a...

Image based navigation using a topological map

A new approach on robot navigation is described which enables the robot to drive through the environment using only a vision system as its sensor. In an exploration phase the robot is driven manually through the environment while taking images. By computing similarities between these images the robot constructs a topological map in the form of an appearance graph. Navigation on this graph invol...

Map - based navigation in mobile robots

BEATCA: Map-Based Intelligent Navigation in WWW

In our research work, we explore the possibility to exploit incremental, navigational maps to build visual search-and-recommendation system. Multiple clustering algorithms may reveal distinct aspects of the document collection, just pointing to various possible meanings, and hence offer the user the opportunity to choose his/her own most appropriate perspective. We hope that such a system would...

Map - based navigation in mobile robots . II

This article reviews map-learning and path-planning strategies within the context of mapbased navigation in mobile robots. Concerning map-learning, it distinguishes metric maps from topological maps and describes procedures that help maintain the coherency of these maps. Concerning path-planning, it distinguishes continuous from discretized spaces and describes procedures applicable when the ex...