Confined and subterranean areas are common in many civilian and industrial sites,
although they are hazardous for humans given the presence of noxious gases, extreme …

This paper describes a visual SLAM system based on stereo cameras and focused on real-
time localization for mobile robots. To achieve this, it heavily exploits the parallel nature of …

In this paper, we present a visual simultaneous localization and map** (SLAM) system
which integrates measurements from multiple cameras to achieve robust pose tracking for …

We present a quadrotor Micro Aerial Vehicle (MAV) equipped with four cameras, which are
arranged in two stereo configurations. The MAV is able to perform stereo matching for each …

This paper presents a novel solution for micro aerial vehicles (MAVs) to autonomously
search for and land on an arbitrary landing site using real-time monocular vision. The …

We present a computationally inexpensive RGBD-SLAM solution taylored to the application
on autonomous MAVs, which enables our MAV to fly in an unknown environment and create …

Autonomous Simultaneous Localization and Map** (SLAM) is an important topic in many
engineering fields. Since stop-and-go systems are typically slow and full-kinematic systems …

The key contribution of this paper is a novel submap** technique for RGB-D-based
bundle adjustment. Our approach significantly speeds up 3D object reconstruction with …

Stroke is the leading cause of long-term disability in adults, with increasing incidence as the
population ages. Physical and occupational therapy support the recovery process, with …

We present a quad-rotor micro aerial vehicle (MAV) that is capable to fly and navigate
autonomously in an unknown environment. The only sensory input used by the MAV are the …