[HTML][HTML] Visual SLAM algorithms: A survey from 2010 to 2016
SLAM is an abbreviation for simultaneous localization and mapping, which is a technique for
estimating sensor motion and reconstructing structure in an unknown environment …
estimating sensor motion and reconstructing structure in an unknown environment …
A survey on vision-based UAV navigation
Research on unmanned aerial vehicles (UAV) has been increasingly popular in the past
decades, and UAVs have been widely used in industrial inspection, remote sensing for …
decades, and UAVs have been widely used in industrial inspection, remote sensing for …
M2dgr: A multi-sensor and multi-scenario slam dataset for ground robots
We introduce M2DGR: a novel large-scale dataset collected by a ground robot with a full
sensor-suite including six fish-eye and one sky-pointing RGB cameras, an infrared camera …
sensor-suite including six fish-eye and one sky-pointing RGB cameras, an infrared camera …
Simultaneous localization and mapping: A survey of current trends in autonomous driving
In this paper, we propose a survey of the Simultaneous Localization And Mapping (SLAM)
field when considering the recent evolution of autonomous driving. The growing interest …
field when considering the recent evolution of autonomous driving. The growing interest …
Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age
Simultaneous localization and mapping (SLAM) consists in the concurrent construction of a
model of the environment (the map), and the estimation of the state of the robot moving …
model of the environment (the map), and the estimation of the state of the robot moving …
SLAM; definition and evolution
H Taheri, ZC Xia - Engineering Applications of Artificial Intelligence, 2021 - Elsevier
Abstract Simultaneous Localization and Mapping (SLAM) is a key problem in the field of
Artificial Intelligence and mobile robotics that addresses the problem of localization and …
Artificial Intelligence and mobile robotics that addresses the problem of localization and …
A survey of structure from motion*.
The structure from motion (SfM) problem in computer vision is to recover the three-
dimensional (3D) structure of a stationary scene from a set of projective measurements …
dimensional (3D) structure of a stationary scene from a set of projective measurements …
[HTML][HTML] Active mapping and robot exploration: A survey
Simultaneous localization and mapping responds to the problem of building a map of the
environment without any prior information and based on the data obtained from one or more …
environment without any prior information and based on the data obtained from one or more …
Comparison of various slam systems for mobile robot in an indoor environment
M Filipenko, I Afanasyev - 2018 International Conference on …, 2018 - ieeexplore.ieee.org
This article presents a comparative analysis of a mobile robot trajectories computed by
various ROS-based SLAM systems. For this reason we developed a prototype of a mobile …
various ROS-based SLAM systems. For this reason we developed a prototype of a mobile …
[HTML][HTML] Learning-based object detection and localization for a mobile robot manipulator in SME production
Increasing research attention has been attracted to automatic production processes in small
and medium-sized enterprises (SMEs) using collaborative robotic systems. In this work, we …
and medium-sized enterprises (SMEs) using collaborative robotic systems. In this work, we …