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

Visual robotic manipulation research and applications often use multiple cameras, or views,
to better perceive the world. How else can we utilize the richness of multi-view data? In this …

This paper presents a framework for collaborative localization and map** with multiple
Micro Aerial Vehicles (MAVs) in unknown environments. Each MAV estimates its motion …

This paper introduces a taxonomy of vision systems for ground mobile robots. In the last five
years, a significant number of relevant papers have contributed to this subject. Firstly, a …

This paper explores the impact that landmark parametrization has in the performance of
monocular, EKF-based, 6-DOF simultaneous localization and map** (SLAM) in the …

Cameras are often a good choice as the primary outward-looking sensor for mobile robots,
and a wide field of view is usually desirable for responsive and accurate navigation …

This paper presents a Laser-SLAM algorithm which can be programmed in less than 200
lines C-language program. The first idea aimed to develop and implement a simple SLAM …

This study aims to contribute a comparison of various simultaneous localization and
map** (SLAM) algorithms that have been proposed in literature. The performance of …

Pose estimation for small unmanned aerial vehicles has made large improvements in recent
years, leading to vehicles that use a suite of sensors to navigate and explore various …

We propose to use a multi-camera rig for simultaneous localization and map** (SLAM),
providing flexibility in sensor placement on mobile robot platforms while exploiting the …