Results 41 to 50 of about 34,843 (165)
International Journal of Advanced Robotic Systems, 2021 Humans maintain good memory and recognition capability of previous environments when they are learning about new ones. Thus humans are able to continually learn and increase their experience. It is also obvious importance for autonomous mobile robot. The
Shilang Chen +4 more
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C2VIR-SLAM: Centralized Collaborative Visual-Inertial-Range Simultaneous Localization and Mapping
Drones, 2022 Collaborative simultaneous localization and mapping have a great impact on various applications such as search-and-rescue and agriculture. For each agent, the key to performing collaboration is to measure the motion relative to other participants or ...
Jia Xie +4 more
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Tightly-Coupled Monocular Visual-Odometric SLAM Using Wheels and a MEMS Gyroscope
IEEE Access, 2019 In this paper, we present a novel tightly coupled probabilistic monocular visual-odometric simultaneous localization and mapping (VOSLAM) algorithm using wheels and a MEMS gyroscope, which can provide accurate, robust, and long-term localization for ...
Meixiang Quan +3 more
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SIMULTANEOUS LOCALIZATION AND MAPPING FOR SEMI-SPARSE POINT CLOUDS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 3D representation of the environment is a piece of vital information for most of the engineering sciences. However, providing such information in classical surveying approaches demands a considerable amount of time for localizing the sensor in a desired ...
P. Shokrzadeh
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IEEE AccessSimultaneous localization and mapping (SLAM) enables robots to localize in uncertain environments and has been widely used in the field of robotics. However, traditional vision SLAM systems usually assume that the observation environment is stationary ...
Hongjie Cui, Xin Zhao, Guanyao Luo
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SOF-SLAM: A Semantic Visual SLAM for Dynamic Environments
IEEE Access, 2019 Simultaneous Localization and Mapping (SLAM) plays an important role in the computer vision and robotics field. The traditional SLAM framework adopts a strong static world assumption for analysis convenience.
Linyan Cui, Chaowei Ma
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Simultaneous localization and mapping (SLAM)-based robot localization and navigation algorithm
Applied Water ScienceThis research paper presents a comprehensive study of the simultaneous localization and mapping (SLAM) algorithm for robot localization and navigation in unknown environments.
Junfu Qiao, Jinqin Guo, Yongwei Li
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PGTI: Pose-Graph Topological Integrity for Map Quality Assessment in SLAM
RoboticsWe introduce the pose-graph topological integrity, an approach designed to assess the correctness of pose graphs in simultaneous localization and mapping. Traditional methods assessed map quality according to the optimality criteria based on pose graphs,
Shuxiang Xie +4 more
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A critique of current developments in simultaneous localization and mapping
International Journal of Advanced Robotic Systems, 2016 The number of research publications dealing with the simultaneous localization and mapping problem has grown significantly over the past 15 years. Many fundamental and practical aspects of simultaneous localization and mapping have been addressed, and ...
Shoudong Huang, Gamini Dissanayake
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SLAM Systems: Overview of Algorithms and Applications [PDF]
Biuletyn Wojskowej Akademii TechnicznejSimultaneous Localization and Mapping (SLAM) represents a key technology enabling autonomous navigation and precise mappingof environments, whether they are unknown or lack GNSS signals.
Adrian MikoĊaj Kapski
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