Simultaneous localization and mapping (SLAM) is an active research topic in machine
vision and robotics. It has various applications in many different fields such as mobile robots …

Simultaneous localization and mapping (SLAM) is a solid problem in robotics, this problem
can be solved using an algorithm dedicated to the resolution of this problem. In this context …

The development of SLAM algorithms in the era of autonomous navigation and the growing
demand for autonomous robot in place of human being, has put into question how to reduce …

Problem solving environments are an attractive approach to the integration of calculation
and management tools for various scientific and engineering applications. These …

FastSLAM 2.0 is a Simultaneous Localization And Mapping (SLAM) framework that provides
an algorithm for calculating robot's pose and map the environment concurrently. It consists of …

La navigation autonome est un axe de recherche principal dans le domaine de la robotique
mobile. Dans ce contexte, le robot doit disposer des algorithmes qui lui permettent d'évoluer …

Autonomous navigation is a major research area in the field of mobile robotics. In this
context, the robot must have algorithms that allow it to evolve autonomously in a complex …

Simultaneous Localization and Mapping (SLAM) is a significant problem that has been
extensively researched in robotics. Its contribution to autonomous robot navigation has …

This thesis starts with an introduction to Simulataneous Localization and Mapping (SLAM)
and more background on Visual SLAM (VSLAM). The goal of VSLAM is to map the world …