This paper introduces a new mobile robot localization solution consisting of two main
modules: a Particle-Filter based Localization (PFL) and a Reinforcement-Learning based …

This paper presents a methodology that aims to enhance the accuracy of probability density
estimation in mobility pattern analysis by integrating prior knowledge of system dynamics …

Robot localization in indoor environments is crucial for achieving flexible automated
navigation. In this paper, we propose a novel multi-stage localization approach for mobile …

Indoor localization systems often fuse inertial odometry with map information via hand-
defined methods to reduce odometry drift, but such methods are sensitive to noise and …

Accurate and robust global localization is essential to robotics applications. We propose a
novel global localization method that employs the map traversability as a hidden …

In this work, we are proposing an intuitive Augmented SLAM method (A-SLAM) that allows
the user to interact, in real-time, with a robot running SLAM to correct for pose and map …

Vehicle localization and navigation in a GPS-denied or GPS-degraded environment is a
common use case in both civilian and military applications. Augmented reality (AR) …

Accurate multi-sensor localization is a challenging task in the navigation of AMRs. Precise
localization strategies are essential for AMRs to be able to perform with safety their missions …

Global positioning system (GPS) interfacing with applications such as Google Maps has
proven very useful for navigation in outdoor open settings. However in crowded metropolitan …

Intelligent vehicles for search and rescue, whose mission is assisting emergency personnel
by visually exploring an unfamiliar building, require accurate localization. With GPS not …