Results 41 to 50 of about 66,733 (278)
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
Advances in Inference and Representation for Simultaneous Localization and Mapping [PDF]
Annu. Rev. Control. Robotics Auton. Syst., 2021 Simultaneous localization and mapping (SLAM) is the process of constructing a global model of an environment from local observations of it; this is a foundational capability for mobile robots, supporting such core functions as planning, navigation, and ...
David M. Rosen +3 more
semanticscholar +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
Towards Collaborative Simultaneous Localization and Mapping: a Survey of the Current Research Landscape [PDF]
Field Robotics, 2021 Motivated by the tremendous progress, we witnessed in recent years, this paper presents a survey of the scientific literature on the topic of Collaborative Simultaneous Localization and Mapping (C-SLAM), also known as multi-robot SLAM.
Pierre-Yves Lajoie +3 more
semanticscholar +1 more source
Review of Visual Simultaneous Localization and Mapping Based on Deep Learning
Remote Sensing, 2023 Due to the limitations of LiDAR, such as its high cost, short service life and massive volume, visual sensors with their lightweight and low cost are attracting more and more attention and becoming a research hotspot.
Yao Zhang +4 more
semanticscholar +1 more source
International Journal of Advanced Robotic Systems, 2020 This article proposes a unique active relative localization mechanism for multi-agent simultaneous localization and mapping, in which an agent to be observed is considered as a task, and the others who want to assist that agent will perform that task by ...
Zhaoyi Pei +4 more
doaj +1 more source
RadarSLAM: A robust simultaneous localization and mapping system for all weather conditions
Int. J. Robotics Res., 2022 A Simultaneous Localization and Mapping (SLAM) system must be robust to support long-term mobile vehicle and robot applications. However, camera and LiDAR based SLAM systems can be fragile when facing challenging illumination or weather conditions which ...
Ziyang Hong +3 more
semanticscholar +1 more source
The Simultaneous Localization and Mapping (SLAM)-An Overview
Surveying and Geospatial Engineering Journal, 2021 Positioning is a need for many applications related to mapping and navigation either in civilian or military domains. The significant developments in satellite-based techniques, sensors, telecommunications, computer hardware and software, image ...
B. Alsadik, S. Karam
semanticscholar +1 more source
Collaborative Mapping for Pedestrian Navigation in Security Applications [PDF]
, 2012 In rescue missions or law enforcement applications, accurate determination of every team member's position and providing this information on a map may signi cantly improve mutual situation awareness and potentially reduce the risk of accidentally ...
Patrick Robertson +5 more
core +1 more source
Visual SLAM algorithms and their application for AR, mapping, localization and wayfinding
Array, 2022 Visual simultaneous localization and mapping (vSLAM) algorithms use device camera to estimate agent's position and reconstruct structures in an unknown environment.
Charalambos Theodorou +3 more
doaj +1 more source