Kalman filters have received much attention with the increasing demands for robotic
automation. This paper briefly surveys the recent developments for robot vision. Among …

We consider the problem of localizing a novel image in a large 3D model, given that the
gravitational vector is known. In principle, this is just an instance of camera pose estimation …

The past decade has seen the growing popularity of Bag of Features (BoF) approaches to
many computer vision tasks, including image classification, video search, robot localization …

It this paper we present a novel minimal case solution to the calibrated relative pose
problem using 3 point correspondences for the case of two known orientation angles. This …

We consider the problem of localizing a novel image in a large 3D model. In principle, this is
just an instance of camera pose estimation, but the scale introduces some challenging …

In this paper, we propose a system to cope with the problem of autonomous mobile robot
navigation. It is able to perform path planning and localize the robot in the real world …

We present an innovative path following system based upon multi-camera visual odometry
and visual landmark matching. This technology enables reliable mobile robot navigation in …

This dissertation presents a graph-based sensor fusion framework for the localization of
automated ground vehicles for leader-follower path duplication. A specific focus is given to …

This thesis proposes a leader-follower system in which a robot, equipped with relatively
sophisticated sensors, tracks and follows a human whose equipped with a low-fidelity …

We consider the problem of a human-following robot in which a human is equipped with a
low-fidelity odometry sensor and a robot follows the human leader-often lagging well behind …