Results 21 to 30 of about 155,647 (336)
International Journal of Advanced Robotic Systems, 2020 As one of the typical application-oriented solutions to robot autonomous navigation, visual simultaneous localization and mapping is essentially restricted to simplex environmental understanding based on geometric features of images.
Linlin Xia +5 more
doaj +1 more source
A ROS Multi-Tier UAV Localization Module Based on GNSS, Inertial and Visual-Depth Data
Drones, 2022 Uncrewed aerial vehicles (UAVs) are continuously gaining popularity in a wide spectrum of applications, while their positioning and navigation most often relies on Global Navigation Satellite Systems (GNSS).
Angelos Antonopoulos +2 more
doaj +1 more source
Implicit sampling for path integral control, Monte Carlo localization, and SLAM [PDF]
, 2014 The applicability and usefulness of implicit sampling in stochastic optimal control, stochastic localization, and simultaneous localization and mapping (SLAM), is explored; implicit sampling is a recently-developed variationally-enhanced sampling method.
Morzfeld, Matthias
core +2 more sources
Simultaneous localization, mapping and deblurring [PDF]
2011 International Conference on Computer Vision, 2011 Handling motion blur is one of important issues in visual SLAM. For a fast-moving camera, motion blur is an unavoidable effect and it can degrade the results of localization and reconstruction severely. In this paper, we present a unified algorithm to handle motion blur for visual SLAM, including the blur-robust data association method and the fast ...
Hee Seok Lee +2 more
openaire +1 more source
International Journal of Advanced Robotic Systems, 2021 As a fundamental assumption in simultaneous localization and mapping, the static scenes hypothesis can be hardly fulfilled in applications of indoor/outdoor navigation or localization.
Yujia Zhai +4 more
doaj +1 more source
Simultaneous Parameter Calibration, Localization, and Mapping [PDF]
, 2012 The calibration parameters of a mobile robot play a substantial role in navigation tasks. Often these parameters are subject to variations that depend either on changes in the environment or on the load of the robot. In this paper, we propose an approach
Grisetti, Giorgio +2 more
core +1 more source
xRatSLAM: An Extensible RatSLAM Computational Framework
Sensors, 2022 Simultaneous localization and mapping (SLAM) refers to techniques for autonomously constructing a map of an unknown environment while, at the same time, locating the robot in this map.
Mauro Enrique de Souza Muñoz +6 more
doaj +1 more source
Performance improvement in VSLAM using stabilized feature points [PDF]
, 2013 Simultaneous localization and mapping (SLAM) is the main prerequisite for the autonomy of a mobile robot. In this paper, we present a novel method that enhances the consistency of the map using stabilized corner features.
Sahin, Caner +3 more
core +1 more source
Sensors, 2022 Hexagonal grids have many advantages over square grids and could be successfully used in mobile robotics as a map representation. However, there is a lack of an essential algorithm, namely, SLAM (simultaneous localization and mapping), that would ...
Piotr Duszak
doaj +1 more source
Fast processing of grid maps using graphical multiprocessors [PDF]
, 2010 Grid mapping is a very common technique used in mobile robotics to build a continuous 2D representation of the environment useful for navigation purposes.
Hernando Gutiérrez, Miguel +4 more
core +2 more sources