World Modeling by the Fusion of Simpler Models

Abstract

We simulate a robot moving in a two-dimensional World Using a range-profile sensor, it builds two simple representations of its environment：a grid-world and a segment-world. A more complex and more precise model of the world is then derived by extracting and fusionning information from these two basic models.