There is a large amount of research currently being done on autonomous micro-aerial
vehicles (MAV), such as quadrotor helicopters or quadcopters. The ability to create a …

In this paper, we present simulation of SLAM (Simultaneous Localization and Map**)
mission with hexacopter UAV (Unmanned Aerial Vehicle). This simulation is done by using …

We consider the dense map** problem where a mobile robot must combine range
measurements into a consistent world-centric map. If the range sensor remains fixed relative …

The autonomous navigation task of a mobile robot depends on its ability of localization and
owning a description about its environment. To deal with these requirements, robots need to …

ABSTRACT Simultaneous Localization and Map** (SLAM) is a method of concurrently
localising positions and building the map of its own environment by an autonomous mobile …

One of the most important tasks for visual inertial odometry systems is pose estimation. By
integrating system poses, motion trajectory of the system can be obtained. Due to errors …

One of the most important tasks for visual inertial odometry systems is pose estimation. By
integrating system poses, motion trajectory of the system can be obtained. Due to errors …

(SLAM) est très vital pour la navigation des robots autonomes, est précisément lorsque le
signal GPS est inaccessible. Pour résoudre ce problème, plusieurs approches ont été …