Results 11 to 20 of about 37,158 (207)
Simultaneous localization and mapping for autonomous bicycles
International Journal of Advanced Robotic Systems, 2017 Bicycles and similar two-wheeled vehicles are a scientifically interesting category of means of transportation, whose simultaneous localization and mapping problem, in contrast to other ground vehicles, has yet to be examined in depth and fully resolved.
Sotirios Stasinopoulos +2 more
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LeGO-LOAM-SC: An Improved Simultaneous Localization and Mapping Method Fusing LeGO-LOAM and Scan Context for Underground Coalmine. [PDF]
Sensors (Basel), 2022 Xue G, Wei J, Li R, Cheng J.
europepmc +2 more sources
A Review of Visual-LiDAR Fusion based Simultaneous Localization and Mapping. [PDF]
Sensors (Basel), 2020 Debeunne C, Vivet D.
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A Comparative Review on Enhancing Visual Simultaneous Localization and Mapping with Deep Semantic Segmentation. [PDF]
Sensors (Basel)Liu X, He Y, Li J, Yan R, Li X, Huang H.
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Decentralized Online Simultaneous Localization and Mapping for Multi-Agent Systems. [PDF]
Sensors (Basel), 2018 Jiménez AC +3 more
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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
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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
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International Journal of Advanced Robotic Systems, 2016 Simultaneous localization and mapping is a crucial problem for mobile robots, which estimates the surrounding environment (the map) and, at the same time, computes the robot location in it.
Hong Liu, Zhi Wang, Pengjin Chen
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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
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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
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